Effect of blood glucose level on standardized uptake value (SUV) in 18F-FDG PET-scan: a systematic review and meta-analysis of 20,807 individual SUV measurements
Open accessAbstract
Systematic review and meta-analysis of blood glucose effects on SUV measurements.
AI snapshot
Written from the paper’s full text.
TL;DR
This individual-data systematic review and meta-analysis examined whether pre-scan blood glucose influences FDG-PET standardized uptake values across normal organs and tumors. It found glucose inversely associated with brain and muscle uptake and positively associated with liver and blood-pool uptake, while tumor uptake showed no clear adjusted relationship except a possible reduction when glucose exceeded 200 mg/dl.
Key findings
- The analysis pooled 20,807 SUV measurements (14,879 SUVmax and 5,928 SUVmean) from 8,380 patients across 29 studies; 14.3% of patients were hyperglycemic.
- In adjusted models, higher blood glucose was significantly associated with lower brain SUVmax and SUVmean (both p < 0.001) and lower muscle SUVmax and SUVmean (both p < 0.001), but with higher liver SUVmax (p = 0.001) and SUVmean (p = 0.004) and higher blood-pool SUVmax (p = 0.008) and SUVmean (p < 0.001).
- Tumor uptake showed no significant adjusted association with glucose for SUVmax (p = 0.948) or SUVmean (p = 0.507), nor for lung-tumor SUVmax (p = 0.505); in ANOVA, only the tumor group with glucose above 200 mg/dl had significantly lower SUVmax than the euglycemic group (mean difference 3.49, p < 0.001).
- ANOVA showed all hyperglycemic groups had lower brain and muscle SUVs and higher liver and blood-pool SUVs than the euglycemic group, with some exceptions such as muscle SUVmean in only two hyperglycemic groups and blood-pool SUVmean in the 110–125 mg/dl group (mean difference 0.06, p = 0.756).
Methods
- Systematic review and meta-analysis conducted according to Cochrane and PRISMA guidance; MEDLINE, Embase, and Cochrane Library were searched through January 2018, with author contact to obtain individual patient data.
- Eligible studies reported FDG-PET or PET/CT SUVs for tumors or normal organs, measured pre-scan blood glucose immediately before FDG after at least 4 hours of fasting, and confirmed malignant lesions histologically; 29 studies (13 prospective, 16 retrospective) were included.
- Individual-level linear and multiple linear regression adjusted for sex, age, BMI, diabetes diagnosis, injected FDG dose, and uptake time; ANOVA compared five glucose groups (≤109, 110–125, 126–150, 151–200, and >200 mg/dl) separately by organ and SUV type.
Limitations
- The paper states that many included studies were retrospective, raising possible selection bias, and that several potential confounders could not be included, such as scanner resolution, reconstruction methods, ROI definition, exact fasting duration, and insulin levels.
- The paper also states that it could not assess how glucose affects PET sensitivity or specificity for malignant lesions, nor analyze most tumor types separately by origin or histopathology except lung tumors.
- Evident from the text: reliance on author-provided individual data and heterogeneous study protocols, tumor types, and organ measurements may limit generalizability; the observational design cannot establish causality.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
18 of 54 cited sources checked · 7 supported · 0 flagged · accuracy not yet measured
- Premisecitation
In normal conditions, blood glucose should return to normal levels during the 2 h after ingestion.
“As in normal conditions (i.e., no insulin resistance), blood glucose should return to normal levels during the 2 h after ingestion [95,96].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [95] Yip WCY, et al. Prevalence of pre-diabetes across ethnicities: a review of impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) for classification of dysglycaemia. Nutrients. 2017;9(11). source
- cites [96] Simonson GD, Kendall DM. Diagnosis of insulin resistance and associated syndromes: the spectrum from the metabolic syndrome to type 2 diabetes mellitus. Coron Artery Dis. 2005;16(8):465–72. source
- Premisecitation
During hyperglycemia, the liver is the major site of glucose utilization, accounting for uptake of approximately 50% of ingested glucose.
“During hyperglycemia, liver is the major site of glucose utilization, accounting for uptake of approximately 50% of the ingested glucose [102-104].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [102] Adeva-Andany MM, et al. Liver glucose metabolism in humans. Biosci Rep. 2016;36(6):e00416. source
The Introduction (page unavailable) says that, in healthy individuals after meals, the liver is a major site of glucose utilization and accounts for a variable one-third to 50–60% of ingested glucose. This supports approximately 50% as a reported estimate, but the paper does not establish that proportion for hyperglycemia generally or consistently identify the liver as the largest site. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [103] Ferrannini E, et al. The disposal of an oral glucose load in healthy subjects. A quantitative study. Diabetes. 1985;34(6):580–8. source
- cites [104] Woerle HJ, et al. Pathways for glucose disposal after meal ingestion in humans. Am J Physiol Endocrinol Metab. 2003;284(4):E716–25. source
- Premisecitation
A significant and increasing proportion of patients who undergo PET scan are in a hyperglycemic state.
“A significant and increasing proportion of patients who undergo PET scan are in a hyperglycemic state.Diabetes [32,33], medications such as corticosteroids [34,35] or chemotherapy agents [36,37], and anxiety [38] are the leading causes of high blood glucose levels (BGL) in patients undergoing PET-scan.”
Quote in the paperNot a substantial claim1 of 6 sources checked- cites [32] Niccoli-Asabella A, et al. 18F-FDGPET/CT: diabetes and hyperglycaemia. Nucl Med Rev Cent East Eur. 2013;16(2):57–61. source
The Material and methods section reports hyperglycaemia in 1,698 of 13,063 PET/CT patients (13%), supporting a significant proportion. The Results section does not establish that the proportion among all PET/CT patients was increasing: its rise from 56.7% to 79% concerns the share of rescheduled patients with hyperglycaemia, while the overall rescheduling rate fell. Page numbers were not provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [33] Cho NH, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81. source
- cites [34] Clement S, et al. Management of diabetes and hyperglycemia in hospitals. Diabetes Care. 2004;27(2):553–91. source
- cites [35] Bonaventura A, Montecucco F. Steroid-induced hyperglycemia: an underdiagnosed problem or clinical inertia? A narrative review. Diabetes Res Clin Pract. 2018;139:203–20. source
- cites [36] Beyan C, et al. Severe hyperglycemia as a complication of big ICE chemotherapy in a patient with acute myeloblastic leukemia. Haematologia (Budap). 2002;32(4):505–8.
- cites [37] Walker ED. Hyperglycemia. A complication of chemotherapy in children. Cancer Nurs. 1988;11(1):18–22. source
- Findingown data
When regression analyses were restricted to lung tumors, no significant relationship was found between BGL and SUVmax in multivariate analysis (p = 0.505).
“When the regression analyses were restricted to tumors of lung origin (338 individual SUV max measurements), still no significant relationship was found between BGL and SUV in both univariate (p = 0.079) and multivariate analysis (p = 0.505).”
Quote in the paperNot a substantial claim - Findingown data
In univariate regression analysis, there was a significant inverse correlation between pre-scan BGL and brain SUVmean (p < 0.001, r = -0.58, r2 = 0.34).
“In univariate regression analysis (Table 3) there was a significant inverse correlation between pre-scan BGL and SUV max (p < 0.001, r = -0 .42,r 2 = 0.18) (Fig. 3) and SUV mean (p < 0.001, r = -0.58,r 2 = 0.34) (Fig. 4).”
Quote in the paperSubstantial claim
- Findingown data
In univariate regression analysis, the inverse relationship between BGL and muscle SUVmean was not statistically significant (p = 0.124, r = -0.03, r2 = 0.001).
“However, this inverse relationship was not statistically significant for SUV mean (p = 0.124, r = -0 .03,r 2 = 0.001).”
Quote in the paperNot a substantial claim - Findingown data
In ANOVA for tumor SUVmax, only the group with BGL greater than 200 mg/dl had a significantly lower SUV compared with the euglycemic group (mean difference = 3.49, p < 0.001).
“ANOVA test for SUV max of tumors revealed that only the group with BGL of more than 200 mg/dl had a significantly lower SUV compared with the euglycemic group (mean difference [MD] =3.49, p < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
In multivariate regression analysis, no significant relationship was observed between blood glucose and tumor SUVmean (p = 0.507, r2 = 0.23).
“However in multivariate regression analysis (Table 4), no significant relationship was observed between blood glucose and SUV max (p = 0.948, r 2 = 0.61) and SUV mean (p = 0.507, r 2 = 0.23).”
Quote in the paperSubstantial claim - Findingown data
In multivariate regression analysis, no significant relationship was observed between blood glucose and tumor SUVmax (p = 0.948, r2 = 0.61).
“However in multivariate regression analysis (Table 4), no significant relationship was observed between blood glucose and SUV max (p = 0.948, r 2 = 0.61) and SUV mean (p = 0.507, r 2 = 0.23).”
Quote in the paperSubstantial claim - Findingown data
In ANOVA, brain SUVmax of all hyperglycemic groups was significantly lower than the euglycemic group.
“In ANOVA test, SUV max and SUV mean of all hyperglycemic groups were significantly lower than the euglycemic group (Table 5).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the significant inverse relationship between pre-scan BGL and brain SUVmean was maintained (p < 0.001, r2 = 0.4).
“This significant inverse relationship maintained in the multivariate analysis (Table 4) both for SUV max (p < 0.001, r 2 = 0.31) and SUV mean (p < 0.001, r 2 = 0.4).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the significant inverse relationship between pre-scan BGL and brain SUVmax was maintained (p < 0.001, r2 = 0.31).
“This significant inverse relationship maintained in the multivariate analysis (Table 4) both for SUV max (p < 0.001, r 2 = 0.31) and SUV mean (p < 0.001, r 2 = 0.4).”
Quote in the paperSubstantial claim - Findingown data
In univariate regression analysis, a significant positive correlation was found between pre-scan BGL and liver SUVmean (p < 0.001, r = 0.23, r2 = 0.05).
“In univariate regression analysis (Table 3), a significant and positive correlation was found between pre-scan BGL and both SUV max (p < 0.001, r = 0.25, r 2 = 0.06) and 1805 SUV mean (p < 0.001, r = 0.23, r 2 = 0.05).”
Quote in the paperSubstantial claim - Findingown data
In ANOVA, brain SUVmean of all hyperglycemic groups was significantly lower than the euglycemic group.
“In ANOVA test, SUV max and SUV mean of all hyperglycemic groups were significantly lower than the euglycemic group (Table 5).”
Quote in the paperSubstantial claim - Findingown data
In univariate regression analysis, an inverse statistically significant relationship was found between BGL and muscle SUVmax (p < 0.001, r = -0.28, r2 = 0.08).
“In univariate regression analysis (Table 3), an inverse statistically significant relationship was found between BGL and SUV max of muscle (p < 0.001, r = -0 .28,r 2 = 0.08).”
Quote in the paperSubstantial claim - Findingown data
In univariate regression analysis, there was a significant inverse correlation between pre-scan BGL and brain SUVmax (p < 0.001, r = -0.42, r2 = 0.18).
“In univariate regression analysis (Table 3) there was a significant inverse correlation between pre-scan BGL and SUV max (p < 0.001, r = -0 .42,r 2 = 0.18) (Fig. 3) and SUV mean (p < 0.001, r = -0.58,r 2 = 0.34) (Fig. 4).”
Quote in the paperSubstantial claim - Findingreasoning
A total of 29 studies provided individual patient data and were included in the meta-analysis.
“Therefore, finally a total of 29 studies provided individual patient data and were included in meta-analysis.”
Quote in the paperSubstantial claim - Findingown data
In univariate linear regression, pre-scan BGL had a significant inverse relationship with tumor SUVmax (p < 0.001, r = -0.14, r2 = 0.02).
“In univariate linear regression analysis (Table 3), pre-scan BGL level had a significant inverse relationship with SUV max (p < 0.001, r = -0 .14, r 2 = 0.02) (Fig. 2) and SUV mean (p = 0.029, r = -0.17,r 2 = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
In ANOVA for muscle SUVmean, the difference was statistically significant for two out of the four hyperglycemic groups (110-125 mg/dl and 125-150 mg/dl).
“However for SUV mean of muscle, this difference was statistically significant for two out of the four hyperglycemic groups (110-125 mg/dl, 125-150 mg/dl, Table 5).”
Quote in the paperNot a substantial claim - Findingown data
In univariate regression analysis, a significant positive correlation was found between pre-scan BGL and liver SUVmax (p < 0.001, r = 0.25, r2 = 0.06).
“In univariate regression analysis (Table 3), a significant and positive correlation was found between pre-scan BGL and both SUV max (p < 0.001, r = 0.25, r 2 = 0.06) and 1805 SUV mean (p < 0.001, r = 0.23, r 2 = 0.05).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, muscle SUVmax was significantly correlated with pre-scan BGL (p < 0.001, r2 = 0.16).
“In multivariate analysis (Table 4) both SUV max (p < 0.001, r 2 = 0.16) and SUV mean (p < 0.001, r 2 = 0.63) were significantly correlated with pre-scan BGL.”
Quote in the paperSubstantial claim - Findingown data
When regression analyses were restricted to lung tumors, no significant relationship was found between BGL and SUVmax in univariate analysis (p = 0.079).
“When the regression analyses were restricted to tumors of lung origin (338 individual SUV max measurements), still no significant relationship was found between BGL and SUV in both univariate (p = 0.079) and multivariate analysis (p = 0.505).”
Quote in the paperNot a substantial claim - Findingown data
In univariate linear regression, pre-scan BGL had a significant inverse relationship with tumor SUVmean (p = 0.029, r = -0.17, r2 = 0.03).
“In univariate linear regression analysis (Table 3), pre-scan BGL level had a significant inverse relationship with SUV max (p < 0.001, r = -0 .14, r 2 = 0.02) (Fig. 2) and SUV mean (p = 0.029, r = -0.17,r 2 = 0.03).”
Quote in the paperNot a substantial claim - Findingown data
ANOVA for SUVmax of lung tumors showed no significant differences in SUVs of the euglycemic group compared with different hyperglycemic groups.
“ANOVA test for SUV max of lung tumors showed no significant differences in SUVs of the euglycemic group compared to different hyperglycemic groups.”
Quote in the paperNot a substantial claim - Findingown data
In multivariate analysis, muscle SUVmean was significantly correlated with pre-scan BGL (p < 0.001, r2 = 0.63).
“In multivariate analysis (Table 4) both SUV max (p < 0.001, r 2 = 0.16) and SUV mean (p < 0.001, r 2 = 0.63) were significantly correlated with pre-scan BGL.”
Quote in the paperSubstantial claim - Findingown data
In ANOVA for muscle SUVmax, all hyperglycemic groups had significantly lower SUVs than the euglycemic group.
“In ANOVA test for SUV max of muscle, all hyperglycemic groups had significantly lower SUVs than the euglycemic group.”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the positive relationship between pre-scan BGL and liver SUVmean remained statistically significant (p = 0.004, r2 = 0.2).
“In multivariate analysis (Table 4), the positive relationship between pre-scan BGL and SUVs remained statistically significant for both SUV max (p = 0.001, r 2 = 0.16) and SUV mean (p = 0.004, r 2 = 0.2).”
Quote in the paperSubstantial claim - Findingown data
In ANOVA, all four hyperglycemic groups had significantly higher liver SUVmax compared with the euglycemic group.
“In ANOVA test, all four hyperglycemic groups had significantly higher SUV max and SUV mean compared with the euglycemic group (Table 5).”
Quote in the paperSubstantial claim - Findingown data
In univariate regression analysis, there was a significant positive correlation between BGL and blood pool SUVmax (p < 0.001, r = 0.20, r2 = 0.04).
“In univariate regression analysis (Table 3) there was a significant positive correlation between BGL and both SUV max (p < 0.001, r = 0.20, r 2 = 0.04) and SUV mean (p < 0.001, r = 0.28, r 2 = 0.08).”
Quote in the paperSubstantial claim - Findingown data
In univariate regression analysis, there was a significant positive correlation between BGL and blood pool SUVmean (p < 0.001, r = 0.28, r2 = 0.08).
“In univariate regression analysis (Table 3) there was a significant positive correlation between BGL and both SUV max (p < 0.001, r = 0.20, r 2 = 0.04) and SUV mean (p < 0.001, r = 0.28, r 2 = 0.08).”
Quote in the paperSubstantial claim - Findingown data
In ANOVA, all four hyperglycemic groups had significantly higher liver SUVmean compared with the euglycemic group.
“In ANOVA test, all four hyperglycemic groups had significantly higher SUV max and SUV mean compared with the euglycemic group (Table 5).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the relationship between BGL and blood pool SUVmax was statistically significant (p = 0.008, r2 = 0.29).
“This relationship was also statistically significant in the multivariate analysis (Table 4) for both SUV max (p = 0.008, r 2 = 0.29) and SUV mean (p < 0.001, r 2 = 0.29).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the relationship between BGL and blood pool SUVmean was statistically significant (p < 0.001, r2 = 0.29).
“This relationship was also statistically significant in the multivariate analysis (Table 4) for both SUV max (p = 0.008, r 2 = 0.29) and SUV mean (p < 0.001, r 2 = 0.29).”
Quote in the paperSubstantial claim - Findingown data
In multivariate analysis, the positive relationship between pre-scan BGL and liver SUVmax remained statistically significant (p = 0.001, r2 = 0.16).
“In multivariate analysis (Table 4), the positive relationship between pre-scan BGL and SUVs remained statistically significant for both SUV max (p = 0.001, r 2 = 0.16) and SUV mean (p = 0.004, r 2 = 0.2).”
Quote in the paperSubstantial claim - Findingown data
In ANOVA, all hyperglycemic groups had significantly higher blood pool SUVmax compared with the euglycemic group.
“In thewANOVA test, all hyperglycemic groups had significantly higher SUV max and SUV mean in comparison with the euglycemic group, except for the mild hyperglycemic group(110-125 mg/dl) for SUV mean (MD = 0.06, p = 0.756) (Table 5).”
Quote in the paperSubstantial claim - Findingown data
In patients who are still hyperglycemic after at least 4 h of fasting, FDG uptake in the mediastinal blood pool is significantly higher than in euglycemic patients.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
Quote in the paperSubstantial claim- Rests on an assumption: The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
- Rests on an assumption: A fasting duration of at least 4 h is sufficient to ensure that the measured BGL reflects a fasting hyperglycemic state and not recent food intake.
- Findingown data
Blood glucose level does not have any apparent significant effect on FDG uptake of tumors.
“However, BGL does not have any apparent significant effect on FDG uptake of tumors.”
Quote in the paperSubstantial claim- Rests on an assumption: The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
- Findingown data
In patients who are still hyperglycemic after at least 4 h of fasting, FDG uptake in the brain is significantly lower than in euglycemic patients.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
Quote in the paperSubstantial claim- Rests on an assumption: The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
- Rests on an assumption: A fasting duration of at least 4 h is sufficient to ensure that the measured BGL reflects a fasting hyperglycemic state and not recent food intake.
- Findingown data
ANOVA analysis indicated decreased FDG uptake of tumors when BGL is above 200 mg/dl.
“As our ANOVA analysis indicated decreased FDG uptake of tumors when BGL is above 200 mg/dl”
Quote in the paperSubstantial claim - Findingown data
In patients who are still hyperglycemic after at least 4 h of fasting, FDG uptake in the liver is significantly higher than in euglycemic patients.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
- Also stated in: § Clinical points and conclusions · plain
“FDG uptake significantly increases in liver during hyperglycemia for reasons explained above.”
Quote in the paperSubstantial claim- Rests on an assumption: The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
- Rests on an assumption: A fasting duration of at least 4 h is sufficient to ensure that the measured BGL reflects a fasting hyperglycemic state and not recent food intake.
- Also stated in: § Clinical points and conclusions · plain
- Findingown data
In patients who are still hyperglycemic after at least 4 h of fasting, FDG uptake in muscle is significantly lower than in euglycemic patients.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
Quote in the paperSubstantial claim- Rests on an assumption: The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
- Rests on an assumption: A fasting duration of at least 4 h is sufficient to ensure that the measured BGL reflects a fasting hyperglycemic state and not recent food intake.
- Study design and conductown data
Quality assessment did not identify any high-risk study.
“Quality assessment did not identify any high-risk study.”
Quote in the paperNot a substantial claim - Interpretationown data
The results of univariate analysis and ANOVA test for muscle could be explained by the confounding effect of sex, age, BMI, diabetes, FDG injected dose, and scan timing.
“The results of univariate analysis and ANOVA test could be explained by the confounding effect of sex (p < 0.001), age (p < 0.001), BMI (p < 0.001), diabetes (p < 0.001), FDG injected dose (p < 0.0001), and scan timing (p < 0.001).”
Quote in the paperSubstantial claim - Interpretationreasoning
Red blood cells take up more FDG in patients with impaired fasting glucose than in euglycemic patients.
“Therefore, RBCs take up more FDG in patients with impaired fasting glucose than in euglycemic patients.”
Quote in the paperSubstantial claim - Interpretationown data
The tumor ANOVA result might be due to the effect of confounding factors.
“Considering the results of the univariate and multivariate regression analyses, this result might be due to the effect of confounding factors.”
Quote in the paperSubstantial claim - Premisecitation
Chronic hyperglycemia increases the density of GLUTs in red blood cell membranes.
“Moreover, it has been shown that chronic hyperglycemia increases the density of GLUTs in RBC membranes [111].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [111] Harik SI, Behmand RA, Arafah BM. Chronic hyperglycemia increases the density of glucose transporters in human erythrocyte membranes. J Clin Endocrinol Metab. 1991;72(4):814–8. source
- Interpretationreasoning
Higher pre-scan BGLs result in lower muscle SUVs.
“Collectively, considering the results of multivariate regression analysis, our study indicates that higher pre-scan BGLs result in lower muscle SUVs (Table 4).”
Quote in the paperSubstantial claim - Interpretationreasoning
The competition between excessive endogenous glucose and FDG in entering muscle cells and decreased GLUT4 expression on the cell membrane due to insulin resistance leads to decreased FDG uptake.
“Therefore, the competition between excessive endogenous glucose and FDG in entering muscle cells and decreasing GLUT4 expression on cell membrane due to the insulin resistance leads to decreased FDG uptake.”
Quote in the paperSubstantial claim - Interpretationreasoning
A higher proportion of the injected FDG dose remains in blood and is available for uptake by other organs including muscles in obese patients.
“Therefore, a higher proportion of the injected dose of FDG remains in blood and available for uptake by other organs including muscles in obese patients.”
Quote in the paperSubstantial claim - Interpretationcitation
The significantly lower tumor SUVmax in the BGL greater than 200 mg/dl group may be caused by hexokinase phosphorylation enzyme saturation in severe hyperglycemia.
“This may be caused by the hexokinase phosphorylation enzymes saturation in the severe hyperglycemia state [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] Arora KK, Pedersen PL. Functional significance of mitochondrial bound hexokinase in tumor cell metabolism. Evidence for preferential phosphorylation of glucose by intramitochondrially generated ATP. J Biol Chem. 1988;263(33):17422–8. source
- Interpretationreasoning
In patients who are hyperglycemic after at least 4 h of fasting, muscle cells are relatively insensitive to the effects of insulin in terms of increasing blood glucose and FDG uptake.
“In summary, our results suggest that in patients who are hyperglycemic after at least 4 h of fasting, muscle cells are relatively insensitive to effects of insulin in terms of increasing blood glucose and FDG uptake.”
Quote in the paperSubstantial claim - Interpretationown data
BGL of less than 200 mg/dl would not significantly change tumor FDG uptake.
“Nevertheless, based on these results we recommend that hyperglycemic patients with BGLs of less than 200 mg/dl are still appropriate candidates to undergo PET scan, as BGL of less than 200 mg/dl would not significantly change tumor's FDG uptake.”
Quote in the paperSubstantial claim - Interpretationreasoning
The lower muscle SUVs with higher BGL could be explained by competition between excessive endogenous blood glucose and FDG, and saturation of glucose transporters.
“This could be explained by the competition between excessive endogenous blood glucose and FDG, and saturation of glucose transporters.”
Quote in the paperSubstantial claim- The authors state this as an assumption: In a hyperglycemic state, GLUTs will be saturated by excess unlabeled glucose.
- Study design and conductreasoning
Many of the included studies were of retrospective design, which can potentially lead to selection bias.
“First, many of the included studies were of retrospective design, which can potentially lead into selection bias.”
Quote in the paperNot a substantial claim - Study design and conductown data
The study was not able to investigate the effect of BGL on tumors separately based on their specific origin and histopathology, except for lung tumors, due to limited data available for each type of tumor.
“Third, we were not able to investigate the effect of BGL on tumors separately based on their specific origin and histopathology, except for lung tumors, due to limited data available for each type of tumor.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The FDG uptake ratio of tumor to background normal tissues in which they are located would not decrease during hyperglycemia.
“Therefore, it seems that FDG uptake ratio of tumor to background normal tissues in which they are located would not decrease during hyperglycemia.”
Quote in the paperSubstantial claim - Study design and conductown data
This systematic review and meta-analysis provides credible level 1 evidence on the influence of BGL on FDG uptake.
“Our results provide credible level 1 evidence on the influence of BGL on FDG uptake, which is much needed in order to reach an evidence-based consensus in regard with preparation protocols needed to handle the issue of hyperglycemia in PET scan.”
Quote in the paperSubstantial claim - Premisecitation
The ability of insulin to stimulate glucose transporters in muscles is impaired in diabetes and impaired glucose tolerance.
“In line with this, studies have indicated that muscle metabolism is age-and sex-dependent [86][87][88], and the ability of insulin to stimulate glucose transporters in muscles is impaired in diabetes and impaired glucose tolerance [89,90].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [89] Bogan JS. Regulation of glucose transporter translocation in health and diabetes. Annu Rev Biochem. 2012;81:507–32. source
- cites [90] Cline GW, et al. Impaired glucose transport as a cause of decreased insulin-stimulated muscle glycogen synthesis in type 2 diabetes. N Engl J Med. 1999;341(4):240–6. source
- Classified as probably not a substantial claim. 28
- May combine two claims. 28
Classified as probably not a substantial claim.
PremisecitationSome GLUTs are insulin-dependent transporters, such as GLUT4 in skeletal muscle.
“Moreover, some of these GLUTs are insulin-dependent transporters such as GLUT4 in skeletal muscle [30,31], which may facilitate glucose and 18 F-FDG cell uptake in patients with high insulin level, and may result in diminishing glucose and 18 F-FDG cell uptake in insulin resistance status.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [30] Ishiki M, Klip A. Minireview: recent developments in the regulation of glucose transporter-4 traffic: new signals, locations, and partners. Endocrinology. 2005;146(12):5071–8. source
- cites [31] Gould GW, Holman GD. The glucose transporter family: structure, function and tissue-specific expression. Biochem J. 1993;295(Pt 2):329–41. source
May combine two claims.
InterpretationcitationIn malignant tumors, transportation and metabolism of glucose lack controls because of the autonomous nature of malignancies, so hyperglycemia would not have a significant effect on tumors.
“However, in malignant tumors transportation and metabolism of glucose lack such controls because of the autonomous nature of malignancies [27,84].Thus, hyperglycemia may lead to competition between endogenous glucose and FDG in normal cells but would not have significant effect on tumors.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [27] Macheda ML, Rogers S, Best JD. Molecular and cellular regulation of glucose transporter (GLUT) proteins in cancer. J Cell Physiol. 2005;202(3):654–62. source
The Abstract (page not available) reports increased glucose uptake and deregulated GLUT expression in malignant cells, supporting part of the premise. But the paper also describes regulation of tumor glucose uptake by hypoxia and other factors; its “Glucose uptake in tumors” section does not establish that hyperglycemia has no significant effect on tumors or their FDG uptake. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [84] Yamamoto T, et al. Over-expression of facilitative glucose transporter genes in human cancer. Biochem Biophys Res Commun. 1990;170(1):223–30. source
- The authors state this as an assumption: In a hyperglycemic state, GLUTs will be saturated by excess unlabeled glucose.
May combine two claims.
PremisecitationGLUT-1 is the main expressed GLUT in red blood cell membrane and is not insulin dependent.
“It could be explained by the fact that GLUT-1 is the main expressed GLUT in red blood cell (RBC) membrane which is not insulin dependent [22,110]; thus, insulin resistance would not affect FDG uptake in RBCs.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [22] Wood IS, Trayhurn P. Glucose transporters (GLUT and SGLT): expanded families of sugar transport proteins. Br J Nutr. 2003;89(1):3–9. source
The Class I facilitative transporters section says GLUT1 is expressed particularly in erythrocytes, while the Perspective calls GLUT1 a constitutive transporter and distinguishes it from insulin-responsive GLUT4. The paper does not establish that GLUT1 is the main GLUT in the red-blood-cell membrane. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [110] Joost HG, Thorens B. The extended GLUT-family of sugar/polyol transport facilitators: nomenclature, sequence characteristics, and potential function of its novel members (review). Mol Membr Biol. 2001;18(4):247–56. source
The Introduction (page unavailable) says GLUT1 transports glucose into erythrocytes, and “Sub-classes of the extended GLUT family” lists erythrocytes among GLUT1’s characteristic tissues. The paper does not explicitly say GLUT1 is the main transporter in red blood cell membranes or that its activity there is insulin-independent; it discusses insulin-sensitive localization for GLUT4 instead. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn a study of 13,063 patients who underwent FDG-PET scan, pre-scan BGL was higher than 200 mg/dl in 1,698 subjects (13%).
“In a study of 13,063 patients who underwent FDG-PET scan, pre-scan BGL was higher than 200 mg/dl in 1698 subjects (13%) [32].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [32] Niccoli-Asabella A, et al. 18F-FDGPET/CT: diabetes and hyperglycaemia. Nucl Med Rev Cent East Eur. 2013;16(2):57–61. source
May combine two claims.
PremisecitationIn a Web-based survey of PET/CT users, 128 PET users responded, cut-off values varied from 150 to 250 mg/dl, and 7% of sites used no cut-off.
“In a Web-based survey of PET/CT users [41], 128 PET users from medical centers in the Americas, Europe, Asia Pacific, and Middle East responded to the question regarding the pre-scan BGL cut-off used in their centers.Cut-off values varied from 150 to 250 mg/dl (8.3-13.9mmol/l), and 7% of the sites used no cut-off.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [41] Beyer T, Czernin J, Freudenberg LS. Variations in clinical PET/CT operations: results of an international survey of active PET/CT users. J Nucl Med. 2011;52(2):303–10. source
The Results (p. 2) report 128 responses to the Web-based survey, and the PET/CT Protocols section (p. 3) reports glucose cutoffs of 150–250 mg/dL and no cutoff at 7% of sites. The paper does not establish that all 128 respondents answered the specific glucose-cutoff question. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEANM guidelines suggest that if the plasma glucose level is higher than or equal to 200 mg/dl, the FDG PET/CT study should be rescheduled.
“European Association of Nuclear Medicine (EANM) [40] guidelines suggest if the plasma glucose level is higher than or equal to 200 mg/dl, the FDG PET/CT study should be rescheduled.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Boellaard R, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54. source
The “For clinical studies” section gives the threshold as ≥11 mmol/L (about 200 mg/dL), but says the study should be rescheduled or the patient excluded, depending on the circumstances and trial. The citing sentence omits that alternative and presents rescheduling as the sole recommendation. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe study adhered to the PRISMA statement recommendations during reporting of its findings.
“We adhered to the recommendations outlined in the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement [47] during reporting of the current study's findings.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [47] Liberati A, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1000100. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEANM guidelines recommend a lower acceptable upper pre-scan BGL for research purposes, between 126 and 150 mg/dl.
“EANM guidelines recommend a lower acceptable upper pre-scan BGL for research purposes (i.e., between 126 and 150 mg/dl).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Boellaard R, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54. source
May combine two claims.
PremisecitationPatients with higher BMI have more fat tissue, which has a relatively low glucose uptake during the fasting state.
“Moreover, patients with higher BMI have more fat tissue, which has a relatively low glucose uptake during fasting state [91,92].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [91] Kershaw EE, Flier JS. Adipose tissue as an endocrine organ. J Clin Endocrinol Metab. 2004;89(6):2548–56. source
- cites [92] Ferrannini E, et al. Effect of fatty acids on glucose production and utilization in man. J Clin Invest. 1983;72(5):1737–47. source
The Subjects section describes healthy volunteers within 20% of desirable body weight, not patients grouped by BMI. The Discussion addresses how free fatty acids affect glucose uptake chiefly in muscle; our copy does not address whether higher-BMI patients have more fat tissue or whether fat tissue has relatively low glucose uptake during fasting. Searches for adipose-tissue uptake and BMI or adiposity found no passage establishing those points. (LLM, conf=0.74)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe prominent type of muscle glucose transporter is GLUT4, which is insulin-dependent, in contrast to tumors, which mainly overexpress Glut-1 and Glut-3 transporters that are not insulin-sensitive.
“The prominent type of muscle glucose transporter is GLUT4, which is insulin-dependent [30,31,93], in contrast to tumors which mainly overexpress Glut-1 and Glut-3 transporters, which are not insulin-sensitive [27,29,94].”
Quote in the paperSubstantial claim3 of 6 sources checked- cites [30] Ishiki M, Klip A. Minireview: recent developments in the regulation of glucose transporter-4 traffic: new signals, locations, and partners. Endocrinology. 2005;146(12):5071–8. source
- cites [31] Gould GW, Holman GD. The glucose transporter family: structure, function and tissue-specific expression. Biochem J. 1993;295(Pt 2):329–41. source
The “GLUT 4: the insulin-responsive glucose transporter” section identifies GLUT4 in muscle and says insulin recruits it to the cell surface. Table 1 lists GLUT1 in transformed cells, but it does not establish that tumors mainly overexpress both GLUT1 and GLUT3 or that those tumor transporters are not insulin-sensitive. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [93] Ismail-Beigi F. Metabolic regulation of glucose transport. J Membr Biol. 1993;135(1):1–10. source
- cites [27] Macheda ML, Rogers S, Best JD. Molecular and cellular regulation of glucose transporter (GLUT) proteins in cancer. J Cell Physiol. 2005;202(3):654–62. source
The Abstract says GLUT4 moves to the muscle-cell membrane in response to insulin and describes GLUT1 and/or GLUT3 overexpression as characteristic of malignant cells. It does not establish that GLUT4 is the predominant muscle transporter or explicitly state that both GLUT1 and GLUT3 are insulin-insensitive. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [29] Medina RA, Owen GI. Glucose transporters: expression, regulation and cancer. Biol Res. 2002;35(1):9–26. source
- cites [94] Marom EM, et al. Correlation of FDG-PET imaging with Glut-1 and Glut-3 expression in early-stage non-small cell lung cancer. Lung Cancer. 2001;33(2–3):99–107. source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationCurrent available PET-scan preparation protocols suggest rescheduling the scan or consideration of rapid-acting insulin injection prior to PET scan or scan rescheduling in patients with hyperglycemia ranging from 120 mg/dl to 200 mg/dl, and recommend inconsistent and diverse cut-offs for insulin injection or scan rescheduling.
“Current available PET-scan preparation protocols suggest rescheduling the scan or consideration of rapid-acting insulin injection prior to PET scan or scan rescheduling in patients with hyperglycemia ranging from 120 mg/dl to 200 mg/dl, and recommend inconsistent and diverse cut-offs for insulin injection or scan rescheduling [39,40].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [39] Delbeke D, et al. Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0. J Nucl Med. 2006;47(5):885–95.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [40] Boellaard R, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown data14.3% of the included patients were hyperglycemic.
“The selected studies included 13 prospective and 16 retrospective studies, reporting a total of 20,807 SUV measurements (total 14,879 SUV max and 5928 SUV mean ) in 8380 patients (14.3% hyperglycemic) between 1992 and 2018 (Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe included studies reported 20,807 SUV measurements (14,879 SUVmax and 5,928 SUVmean) in 8,380 patients.
“The selected studies included 13 prospective and 16 retrospective studies, reporting a total of 20,807 SUV measurements (total 14,879 SUV max and 5928 SUV mean ) in 8380 patients (14.3% hyperglycemic) between 1992 and 2018 (Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn ANOVA, all hyperglycemic groups had significantly higher blood pool SUVmean compared with the euglycemic group, except the mild hyperglycemic group (110-125 mg/dl) (MD = 0.06, p = 0.756).
“In thewANOVA test, all hyperglycemic groups had significantly higher SUV max and SUV mean in comparison with the euglycemic group, except for the mild hyperglycemic group(110-125 mg/dl) for SUV mean (MD = 0.06, p = 0.756) (Table 5).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe main sources of bias were use of hospital controls (euglycemic patients) and lack of scan reviewer blinding to pre-scan BGL.
“The main sources of bias were first the use of hospital controls (euglycemic patients) and second, lack of scan reviewer blinding to pre-scan BGL of subjects.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataQuality assessment indicated that 9 of 29 studies (31%) had medium risk of bias and 20 of 29 (69%) had low risk of bias.
“Quality assessment of included studies based on the Newcastle-Ottawa Scale indicated that nine out of 29 studies (31%) carried medium risk for bias, and 20 out of 29 studies (69%) were judged to have low risk of bias.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataANOVA was not performed for tumor SUVmean because the number of patients in different BGL groups was not sufficient.
“ANOVA test was not performed for SUV mean of tumor since the number of patients in different BGL groups was not sufficient (Table 5).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe main expressed GLUTs in the blood-brain barrier and neurons are GLUT-1 and GLUT-3, which are not insulin-sensitive.
“Moreover the main expressed GLUTs in blood-brain barrier and neurons are GLUT-1 and GLUT-3 which are not insulin-sensitive [100, 101]; thus, hyperinsulinemia during hyperglycemia would not have any effects on FDG uptake in brain.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [100] Pardridge WM, Boado RJ, Farrell CR. Brain-type glucose transporter (GLUT-1) is selectively localized to the blood–brain barrier. Studies with quantitative western blotting and in situ hybridization. J Biol Chem. 1990;265(29):18035–40. source
- cites [101] Vannucci SJ, Maher F, Simpson IA. Glucose transporter proteins in brain: delivery of glucose to neurons and glia. Glia. 1997;21(1):2–21. source
May combine two claims.
InterpretationreasoningPre-scan hyperglycemia can potentially lead to a distorted tumor-to-target uptake ratio and hence decrease the sensitivity of the PET scan.
“Thus, pre-scan hyperglycemia can potentially lead into a distorted tumor-to-target uptake ratio, and hence decrease the sensitivity of the PET scan.”
Quote in the paperSubstantial claim- The authors state this as an assumption: In a hyperglycemic state, GLUTs will be saturated by excess unlabeled glucose.
Classified as probably not a substantial claim.
Study design and conductown dataMultiple linear regression analysis was performed with SUVmax or SUVmean as dependent variable and pre-scan BGL, sex, age, BMI, presence of diabetes mellitus diagnosis, injected dose of FDG, and time interval between FDG injection and imaging as independent variables.
“Multiple linear regression analysis was performed with SUV max or SUV mean as dependent variable and pre-scan BGL, sex, age, BMI, presence of diabetes mellitus diagnosis, injected dose of FDG, and time interval between FDG injection and imaging as independent variables.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo reviewers independently extracted data from included studies using a pre-specified and piloted data extraction sheet.
“Two reviewers independently extracted data from included studies using a pre-specified and piloted data extraction sheet.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInsulin injection may increase background FDG uptake and therefore decrease PET scan sensitivity.
“On the other hand, unnecessary interventions aimed at lowering the BGL are time-and resources-consuming, including insulin injection, which may also increase background FDG uptake and therefore decrease PET scan sensitivity [42].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Zhao S, et al. Effects of insulin and glucose loading on FDG uptake in experimental malignant tumours and inflammatory lesions. Eur J Nucl Med. 2001;28(6):730–5. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOther factors theoretically capable of confounding the effect of BGL on SUV could not be incorporated into the analysis, such as scanner resolution, reconstruction methods, region of interest measurements, exact duration of fasting, and serum levels of insulin.
“Nevertheless, there are some other factors theoretically capable of confounding the effect of BGL on SUV that could not be incorporated into our analysis, such as scanner resolution, reconstruction methods, region of interest measurements (a segmentation type processes or a fixed size region for SUV mean of tumors), exact duration of fasting, and serum levels of insulin.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenDisagreements in data extraction were resolved through discussion between the two authors, and if necessary a third senior investigator extracted the data and discussed the results with reviewers to reach consensus.
“Disagreements were resolved through discussion between the two authors, and if necessary, a third senior investigator (APM) extracted the data and then discussed the results with reviewers in order to reach consensus.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataPatients in euglycemic and hyperglycemic groups were not paired by sex, age, BMI, injected dose of FDG, time interval between FDG injection and imaging, and diagnosis of diabetes, but this information was available for most individual data and was taken into account in multivariate analyses.
“Although patients in euglycemic and hyperglycemic groups were not paired by sex, age, BMI, injected dose of FDG, time interval between FDG injection and imaging, and diagnosis of diabetes, this information was available for most of the individual data and was taken into account in our multivariate analyses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo independent reviewers, blind to journals and authors, screened titles and abstracts and then full texts to identify studies eligible for inclusion.
“After omitting duplicate citations, two independent reviewers (ME and MHK), blind to the journals and authors, screened titles and abstracts and then full texts to identify studies eligible for inclusion.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningHyperglycemia may lead to competition between endogenous glucose and FDG in normal cells but would not have a significant effect on tumors.
“Thus, hyperglycemia may lead to competition between endogenous glucose and FDG in normal cells but would not have significant effect on tumors.”
Quote in the paperSubstantial claim- The authors state this as an assumption: In a hyperglycemic state, GLUTs will be saturated by excess unlabeled glucose.
May combine two claims.
InterpretationreasoningWhatever the mechanism of uptake, the proportion of glucose in the circulation that is FDG decreases as blood glucose increases, so there is always competition between FDG and endogenous glucose.
“Whatever the mechanism of uptake, the proportion of glucose in the circulation that is FDG will decrease the higher the blood glucose; in other words there is always competition, albeit 'passive'.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was not able to investigate the effect of BGL on sensitivity and specificity of PET scan in diagnosis of malignant lesions.
“Second, we were not able to investigate the effect of BGL on sensitivity and specificity of PET scan in diagnosis of malignant lesions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSNMMI guidelines recommend rescheduling the scan if BGL is greater than a wide range of 150-200 mg/dl.
“Society of Nuclear Medicine and Molecular Imaging (SNMMI) [39] guidelines recommend rescheduling the scan if BGL is greater than a wide range of 150-200 mg/dl.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Delbeke D, et al. Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0. J Nucl Med. 2006;47(5):885–95.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductnone givenAll malignant lesions had to be confirmed by biopsy or surgical histopathology.
“All malignant lesions had to be confirmed by biopsy or surgical histopathology.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe brain results could be explained by competition of FDG and glucose on membrane GLUTs in the blood-brain barrier.
“These results also could be explained by the competition of FDG and glucose on the membrane GLUTs in the blood-brain barrier.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationHyperinsulinemia during hyperglycemia would not have any effects on FDG uptake in the brain because the main expressed GLUTs in the blood-brain barrier and neurons are GLUT-1 and GLUT-3, which are not insulin-sensitive.
“Moreover the main expressed GLUTs in blood-brain barrier and neurons are GLUT-1 and GLUT-3 which are not insulin-sensitive [100, 101]; thus, hyperinsulinemia during hyperglycemia would not have any effects on FDG uptake in brain.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [100] Pardridge WM, Boado RJ, Farrell CR. Brain-type glucose transporter (GLUT-1) is selectively localized to the blood–brain barrier. Studies with quantitative western blotting and in situ hybridization. J Biol Chem. 1990;265(29):18035–40. source
- cites [101] Vannucci SJ, Maher F, Simpson IA. Glucose transporter proteins in brain: delivery of glucose to neurons and glia. Glia. 1997;21(1):2–21. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe systematic review and meta-analysis was conducted in accordance with guidelines recommended in the Cochrane Handbook for Systematic Reviews.
“This systematic review and meta-analysis study was conducted in accordance with guidelines recommended in Cochrane Handbook for Systematic Reviews [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from: www.handbook.cochrane.org.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductnone givenStudies gaining three or fewer scores on the Newcastle-Ottawa Scale were considered high risk of bias and were excluded from analysis.
“Studies with between seven and nine scores and between four and six scores were deemed to have low risk and medium risk respectively, and studies gaining three or fewer scores were considered as having a high risk of bias and were excluded from analysis.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenStudies were excluded when any condition could interfere with the relationship between pre-scan BGL and SUVs, including SUVs normalized to BGL or lean body mass instead of body weight, or patients who received insulin or oral anti-hyperglycemic within 4 h prior to PET scan.
“Moreover, studies were excluded when there was any condition that could interfere with the relationship between pre-scan BGL and SUVs, including SUVs that were normalized to BGL or lean body mass instead of body weight, or patients who had received insulin or any oral anti-hyperglycemic within 4 h prior to PET scan.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenStudies were identified through electronic search of MEDLINE, Embase, and Cochrane library databases using a sensitive search strategy.
“Studies were identified through electronic search of MEDLINE (PubMed), Embase and Cochrane library databases, using a sensitive search strategy.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTwo authors independently assessed quality of included studies using the Newcastle-Ottawa Scale for cross-sectional and case-control studies.
“Two authors independently assessed quality of included studies using Newcastle-Ottawa Scale for cross-sectional and case-control studies [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Wells G, Shea B, O'Connell D, Peterson JE, Welch V, Losos M, Tugwell P. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa, Ottawa Hospital Research Institute; 2000
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe prominent hepatic GLUT is GLUT-2, a bidirectional glucose transporter that allows fluxes of glucose in and out of cells based on its diffusion gradient and is not a saturable transporter.
“Moreover, prominent hepatic GLUT is GLUT-2 which is a bidirectional glucose transporter that allows fluxes of glucose in and out the cells based on its diffusion gradient, and is not a saturable transporter [107].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [107] Karim S, Adams DH, Lalor PF. Hepatic expression and cellular distribution of the glucose transporter family. World J Gastroenterol. 2012;18(46):6771–81. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenPotentially missed additional citations were manually searched using reference lists of included articles.
“Furthermore, potentially missed additional citations were manually searched using reference lists of included articles.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation18F-FDG-6-P is not a substrate for G-6-P isomerase; therefore, it is trapped inside cells and detected by the PET scanner.
“Unlike G-6-P, 18 F-FDG-6-P is not a substrate for G-6-P isomerase; therefore, it is trapped inside the cells and detected by the PET scanner [24][25][26].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24][25][26]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIdentification of unpublished work was attempted by contacting experts and authors of included studies.
“Identification of unpublished work was attempted by contacting experts and authors of included studies.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenBlood glucose level had to be measured prior to PET scan, immediately before intravenous FDG administration, after at least 4 h of fasting.
“Blood glucose level had to be measured prior to PET scan, immediately before the intravenous administration of FDG, after at least 4 h of fasting.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenNo limitations were applied for language or year of publications.
“No limitations were applied for language or year of publications.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationInsulin resistance counteracts shifting of glucose to muscle cells by diminishing GLUT4 expression, suppressing glycolysis, and increasing glucose-6-phosphate levels.
“Several studies have shown that insulin resistance counteracts shifting of glucose to muscle cells by diminishing GLUT4 expression, suppressing glycolysis, and increasing glucose-6-phosphate levels [97][98][99], all of which lead to increased fasting BGLs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [97][98][99]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationMuscle metabolism is age- and sex-dependent.
“In line with this, studies have indicated that muscle metabolism is age-and sex-dependent [86][87][88], and the ability of insulin to stimulate glucose transporters in muscles is impaired in diabetes and impaired glucose tolerance [89,90].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86][87][88]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataWhen BGL is above 200 mg/dl, there is the possibility of decreased tumor-to-target uptake ratio and hence impaired scan sensitivity.
“as there is the possibility of decreased tumor-to-target uptake ratio and hence impaired scan sensitivity.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationThe current approach may lead to insulin-induced FDG shunting from tumors to muscles, thus decreasing tumor to background FDG uptake ratio.
“or the possibility of insulin-induced FDG shunting from tumors to muscles, thus decreasing tumor to background FDG uptake ratio [42,112,113].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [42] Zhao S, et al. Effects of insulin and glucose loading on FDG uptake in experimental malignant tumours and inflammatory lesions. Eur J Nucl Med. 2001;28(6):730–5. source
- cites [112] Bertoldo A, et al. Interactions between delivery, transport, and phosphorylation of glucose in governing uptake into human skeletal muscle. Diabetes. 2006;55(11):3028–37. source
- cites [113] James DE. Targeting of the insulin-regulatable glucose transporter (GLUT-4). Biochem Soc Trans. 1994;22(3):668–70. source
May combine two claims.
PremisecitationThe current approach of rescheduling or insulin injection for hyperglycemia 120-200 mg/dl may lead to increased costs, inconvenience for patients, unnecessary postponing of PET scan, and delays in diagnosis of potential malignancies.
“This approach may lead to increased costs, inconvenience for patients, unnecessary postponing of PET scan, and delays in diagnosis of potential malignancies”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [42] Zhao S, et al. Effects of insulin and glucose loading on FDG uptake in experimental malignant tumours and inflammatory lesions. Eur J Nucl Med. 2001;28(6):730–5. source
- cites [112] Bertoldo A, et al. Interactions between delivery, transport, and phosphorylation of glucose in governing uptake into human skeletal muscle. Diabetes. 2006;55(11):3028–37. source
- cites [113] James DE. Targeting of the insulin-regulatable glucose transporter (GLUT-4). Biochem Soc Trans. 1994;22(3):668–70. source
Classified as probably not a substantial claim.
InterpretationreasoningThe results and recommendations should not be considered for acute post-prandial hyperglycemia.
“It should be noted that our results and recommendations should not be considered for acute post-prandial hyperglycemia”
Quote in the paperSubstantial claim
The authors state this as an assumption.
In a hyperglycemic state, GLUTs will be saturated by excess unlabeled glucose.
“As GLUTs transport both 18 F-FDG and unlabeled glucose, it is assumed that in a hyperglycemic state GLUTs will be saturated by excess unlabeled glucose [27][28][29]”
The paper relies on this without support.
No systematic review and meta-analysis has yet quantitatively evaluated the effect of pre-scan BGL on FDG uptake.
“To the best of our knowledge, no systematic review and meta-analysis has yet quantitatively evaluated the effect of pre-scan BGL on FDG uptake.”
The paper relies on this without support.
The inconsistency between different guidelines originates from a lack of robust and credible evidence.
“The inconsistency between different guidelines, which originates from lack of robust and credible evidence, has resulted in a diverse range of accepted prescan BGLs in clinical PET imaging.”
The paper relies on this without support.
The SUV measurements from the included studies are comparable across different PET scanners, protocols, and institutions.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
The paper relies on this without support.
A fasting duration of at least 4 h is sufficient to ensure that the measured BGL reflects a fasting hyperglycemic state and not recent food intake.
“Based on this systematic review and meta-analysis of individual patient data, patients who are still hyperglycemic after at least 4 h of fasting would have significantly lower FDG uptake in brain and muscle and significantly higher FDG uptake in liver and mediastinal blood pool in comparison with euglycemic patients.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Non-labeled endogenous blood glucose competitively inhibits 18F-FDG uptake and hence poses an inversely linear effect on SUVmax.
“Non-labeled endogenous blood glucose competitively inhibits 18F-FDG uptake, and hence it poses an inversely-linear effect on SUVmax.[4]”
From Intrapatient variability of 18F-FDG uptake in normal tissues (2022) · cites this paper as [4]
The Introduction describes competition between endogenous glucose and 18F-FDG, and the Brain and Muscle sections report inverse associations between blood glucose and SUVmax. But the Discussion reports positive associations in liver and blood pool and no significant association in tumors, so the claimed inverse effect is not general. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPatient physiology and constitution influence the biodistribution of radiopharmaceuticals, especially [18F]FDG, mainly affecting standardized uptake values (SUV) in normal organs such as liver, brain, lung, skeletal muscles, and blood pool.
“The patient’s physiology and constitution influence the biodistribution of radiopharmaceuticals, especially of [18F]FDG, although they mainly affect standardized uptake values (SUV) in normal organs, such as the liver, brain, lung, skeletal muscles, and blood pool [1].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [1]
The Clinical points and conclusions section (page unavailable) reports that fasting hyperglycemia changes [18F]FDG uptake in the brain, muscle, liver, and mediastinal blood pool. The paper addresses blood glucose specifically, not patient physiology and constitution broadly or radiopharmaceuticals generally; its lung measurements concern lung tumors, not normal lung. (LLM, conf=0.88)
Experimental — accuracy not yet measuredIn a number of normal organs, SUV corrected for body mass is positively correlated with body mass index (BMI).
“In a number of normal organs, the SUV corrected for body mass is positively correlated with the body mass index (BMI) [1,2,3].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [1]
The Statistical analysis section lists BMI as a predictor of SUV, and Table 4 (Clinical points and conclusions; page unavailable) reports significant BMI associations for several normal-organ SUV measurements. The table gives p-values but not the direction of those associations, so our copy does not establish that they are positive. (LLM, conf=0.76)
Experimental — accuracy not yet measuredTumor SUVmax and SUVmean were not shown to vary systematically with the above-named physiological factors in a large meta-analysis of >20,000 individuals.
“Notably, tumor SUVmax and SUVmean were not shown to vary systematically with the above-named physiological factors in a large meta-analysis of >20.000 individuals [1].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [1]
The Tumor section and Table 4 report no significant multivariable associations between tumor SUVmax or SUVmean and the factors analyzed. However, the paper reports 20,807 SUV measurements, not >20,000 individuals; its tumor analysis included 631 SUVmax and 159 SUVmean measurements. The Tumor section also reports a significant univariate association with blood glucose and lower SUVmax in tumors when blood glucose exceeded 200 mg/dl. (LLM, conf=0.90)
Experimental — accuracy not yet measuredRaising blood glucose and/or insulin levels increases [18F]FDG uptake in liver, skeletal muscles, and myocardium mainly via GLUT2 and GLUT4.
“Conversely, raising blood glucose and/or insulin levels increases [18F]FDG uptake in the liver, skeletal muscles, and myocardium mainly via GLUT2 and 4 [1,6,22].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [1]
The Liver section reports higher liver FDG uptake with higher blood glucose and identifies GLUT2 as a prominent hepatic transporter. The Muscle and Clinical points and conclusions sections report the opposite of the claimed glucose effect in patients still hyperglycemic after at least four hours of fasting: muscle FDG uptake was lower. The paper discusses insulin-sensitive GLUT4 and allows that uptake might rise in acute hyperglycemia, but does not establish the claimed increase across all three tissues; the retrieved passages do not address myocardial uptake. Page numbers were unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Normal brain [18F]FDG uptake varies with age, sex, and the presence or absence of diabetes mellitus.
“Normal brain [18F]FDG uptake varies with age, sex, and the presence or absence of diabetes mellitus [1,6,9,10].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [1]
Table 4 (Clinical points and conclusions; page not provided) reports associations of brain SUVmax with age (p < 0.0001) and diabetes diagnosis (p = 0.04). It does not support the sex component: sex was not significantly associated with brain SUVmax (p = 0.245) or SUVmean (p = 0.892). The age and diabetes associations also did not extend to brain SUVmean in this analysis. (LLM, conf=0.87)
Experimental — accuracy not yet measuredBlood glucose level is among the factors that can influence the accuracy of SUVmax.
“Blood glucose level is considered among the factors that can influence the accuracy of SUVmax.”
From Intrapatient variability of 18F-FDG uptake in normal tissues (2022) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Abstract overstates blood-pool SUV mean differences
MinorThe abstract says every hyperglycemic group had significantly higher blood-pool SUVs, but the blood-pool results identify a nonsignificant SUV mean difference in the mild-hyperglycemia group.
“In the ANOVA test, all hyperglycemic groups had significantly lower SUVs compared with the euglycemic group in brain and muscle, and significantly higher SUVs in liver and blood pool.”
“In thewANOVA test, all hyperglycemic groups had significantly higher SUV max and SUV mean in comparison with the euglycemic group, except for the mild hyperglycemic group(110-125 mg/dl) for SUV mean (MD = 0.06, p = 0.756) (Table 5).”
Reported measurement sources exceed the final total
MinorThe two reported sources provide 721 + 21,122 = 21,843 SUV measurements, but the paper reports 20,807 included measurements. It does not account for the 1,036-measurement difference.
Reported 20807 · recomputed 21843
“Twelve studies already included numerical individual data for 721 SUV measurements.Numerical unpublished individual data from published papers [50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66] were obtained through contacting corresponding authors in 17 studies for 21,122 SUV measurements.”
Abstract overstates muscle SUV mean differences
MinorThe abstract says every hyperglycemic group had significantly lower muscle SUVs, while the muscle results say this was true for only two of four groups for SUV mean.
“In the ANOVA test, all hyperglycemic groups had significantly lower SUVs compared with the euglycemic group in brain and muscle, and significantly higher SUVs in liver and blood pool.”
“However for SUV mean of muscle, this difference was statistically significant for two out of the four hyperglycemic groups (110-125 mg/dl, 125-150 mg/dl, Table 5).”
The conclusion assigns 110 mg/dl to two glucose categories
MinorThe methods classify 110 mg/dl as mild hyperglycemia, whereas the conclusion calls a BGL of 110 mg/dl euglycemic.
“110-125 mg/dl (mild hyperglycemia)”
“patients should be kept euglycemic (BGL ≤ 110 mg/dl)”
Cites
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164 · see citing works
(2014) · Medical Entomology and Zoology · Cited by 17,633 · see citing works
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.006 · Cited by 10,578 · see citing works
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283 · see citing works
Adipose Tissue as an Endocrine Organ
Kershaw, E. E., & Flier, J. S. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0395 · Cited by 5,522 · see citing works
FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0
Boellaard, R., Delgado-Bolton, R., Oyen, W. J. G., Giammarile, F., Tatsch, K., Eschner, W., Verzijlbergen, F. J., Barrington, S. F., Pike, L. C., Weber, W. A., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2961-x · Cited by 3,303 · see citing works
Hypoxia, HIF1 and glucose metabolism in the solid tumour
Denko, N. C. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2468 · Cited by 1,707 · see citing works
Management of diabetes and hyperglycemia in hospitals.
Clement, S., Braithwaite, S. S., Magee, M. F., Ahmann, A., Smith, E. P., Schafer, R. G., Hirsch, I. B., & on behalf of the Diabetes in Hospitals Writing Committee (2004) · Diabetes Care · doi:10.2337/diacare.27.2.553 · Cited by 1,266 · see citing works
Molecular and cellular regulation of glucose transporter (GLUT) proteins in cancer
Macheda, M. L., Rogers, S., & Best, J. D. (2005) · Journal of Cellular Physiology · doi:10.1002/jcp.20166 · Cited by 1,229 · see citing works
Effect of fatty acids on glucose production and utilization in man.
Ferrannini, E., Barrett, E. J., Bevilacqua, S., & DeFronzo, R. A. (1983) · Journal of Clinical Investigation · doi:10.1172/jci111133 · Cited by 1,050 · see citing works
Newer anatomy of the liver and its variant blood supply and collateral circulation
Michels, N. A. (1966) · The American Journal of Surgery · doi:10.1016/0002-9610(66)90201-7 · Cited by 956 · see citing works
(2001) · PubMed · Cited by 943 · see citing works
Glucose transporters (GLUT and SGLT): expanded families of sugar transport proteins
Wood, I. S., & Trayhurn, P. (2003) · British Journal of Nutrition · doi:10.1079/bjn2002763 · Cited by 889 · see citing works
Clinical Applications of PET in Oncology
ROHREN, E. M., Turkington, T. G., & Coleman, R. E. (2004) · Radiology · doi:10.1148/radiol.2312021185 · Cited by 862 · see citing works
The glucose transporter family: structure, function and tissue-specific expression
Gould, G. W., & Holman, G. D. (1993) · Biochemical Journal · doi:10.1042/bj2950329 · Cited by 785 · see citing works
Joost, H.-G., & Thorens, B. (2001) · Molecular Membrane Biology · doi:10.1080/09687680110090456 · Cited by 719 · see citing works
Adult lean body mass declines with age: Some longitudinal observations
Forbes, G. B., & Reina, J. C. (1970) · Metabolism · doi:10.1016/0026-0495(70)90062-4 · Cited by 684 · see citing works
Cline, G. W., Petersen, K. F., Krssak, M., Shen, J., Hundal, R. S., Trajanoski, Z., Inzucchi, S., Dresner, A., Rothman, D. L., & Shulman, G. I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199907223410404 · Cited by 675 · see citing works
Weber, G. F. (1977) · New England Journal of Medicine · doi:10.1056/nejm197703032960905 · Cited by 650 · see citing works
Procedure guideline for tumor imaging with F-18 FDG PET/CT
Delbeke, D., Coleman, R. E., Guiberteau, M. J., Brown, M. L., Royal, H. D., Siegel, B. A., Townsend, D. W., Berland, L. L., Parker, J. A., Hübner, K. F., et al. (2006) · Cited by 620 · see citing works
Integrated PET/CT: Current Applications and Future Directions
von Schulthess, G. K., Steinert, H. C., & Hany, T. F. (2006) · Radiology · doi:10.1148/radiol.2382041977 · Cited by 618 · see citing works
Pardridge, W. M., Boado, R. J., & Farrell, C. R. (1990) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)38267-x · Cited by 606 · cited 1× · see citing works
“Moreover the main expressed GLUTs in blood–brain barrier and neurons are GLUT-1 and GLUT-3 which are not insulin-sensit ive [100, 101]; thus, hyperinsulinemia during hyperglycemia would not have any effects on FDG uptake in brain.”
Shaw, R. J. (2006) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2006.10.005 · Cited by 543 · see citing works
Sex-Based Differences in Skeletal Muscle Kinetics and Fiber-Type Composition
Haizlip, K. M., Harrison, B. C., & Leinwand, L. A. (2015) · Physiology · doi:10.1152/physiol.00024.2014 · Cited by 521 · see citing works
Adeva-Andany, M. M., González-Lucán, M., Donapetry-García, C., Fernández-Fernández, C., & Ameneiros-Rodríguez, E. (2016) · BBA Clinical · doi:10.1016/j.bbacli.2016.02.001 · Cited by 504 · see citing works
Glucose transporters: expression, regulation and cancer
MEDINA, R. A., & OWEN, G. I. (2002) · Biological Research · doi:10.4067/s0716-97602002000100004 · Cited by 472 · see citing works
Over-expression of facilitative glucose transporter genes in human cancer
Yamamoto, T., Seino, Y., Fukumoto, H., Koh, G., Yano, H., Inagaki, N., Yamada, Y., Inoue, K., Manabe, T., & Imura, H. (1990) · Biochemical and Biophysical Research Communications · doi:10.1016/0006-291x(90)91263-r · Cited by 465 · see citing works
Analysis of vasculature for liver surgical planning
Selle, D., Preim, B., Schenk, A., & Peitgen, H.-O. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.801166 · Cited by 448 · see citing works
The Disposal of an Oral Glucose Load in Healthy Subjects: A Quantitative Study
Ferrannini, E., Bjorkman, O., Reichard, G. A., Pilo, A., Olsson, M., Wahren, J., & DeFronzo, R. A. (1985) · Diabetes · doi:10.2337/diab.34.6.580 · Cited by 439 · see citing works
(1993) · PubMed · Cited by 398 · see citing works
Liver glucose metabolism in humans
Adeva-Andany, M. M., Pérez-Felpete, N., Fernández-Fernández, C., Donapetry-García, C., & Pazos-García, C. (2016) · Bioscience Reports · doi:10.1042/bsr20160385 · Cited by 372 · see citing works
Wide expression of the human erythrocyte glucose transporter Glut1 in human cancers.
Younes, M., Lechago, L. V., Somoano, J. R., Mosharaf, M., & Lechago, J. (1996) · PubMed · Cited by 338 · see citing works
Arora, K. K., & Pedersen, P. L. (1988) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)77853-3 · Cited by 323 · see citing works
Cerfolio, R. J., Bryant, A. S., Ohja, B., & Bartolucci, A. A. (2005) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2004.11.007 · Cited by 317 · see citing works
Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0.
Delbeke, D., Coleman, R. E., Guiberteau, M. J., Brown, M. L., Royal, H. D., Siegel, B. A., Townsend, D. W., Berland, L. L., Parker, J. A., Hubner, K., et al. (2006) · PubMed · Cited by 297 · see citing works
Westerterp, M., Pruim, J., Oyen, W. J. G., Hoekstra, O. S., Paans, A. M. J., Visser, E. P., van Lanschot, J. J. B., Sloof, G. W., & Boellaard, R. (2006) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-006-0224-1 · Cited by 294 · see citing works
Bastiaannet, E., Groen, H., Jager, P. L., Cobben, D., van der Graaf, W. T. A., Vaalburg, W., & Hoekstra, H. J. (2003) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2003.07.004 · Cited by 293 · see citing works
Ishiki, M., & Klip, A. (2005) · Endocrinology · doi:10.1210/en.2005-0850 · Cited by 281 · see citing works
Minn, H., Zasadny, K., Quint, L. E., & Wahl, R. (1995) · Radiology · doi:10.1148/radiology.196.1.7784562 · Cited by 280 · see citing works
Regulation of Glucose Transporter Translocation in Health and Diabetes
Bogan, J. S. (2012) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060109-094246 · Cited by 279 · see citing works
Growth factors rapidly induce expression of the glucose transporter gene.
Hiraki, Y., Rosen, O. M., & Birnbaum, M. J. (1988) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)68291-2 · Cited by 263 · see citing works
Vansteenkiste, J., Fischer, B. M., Dooms, C., & Mortensen, J. (2004) · The Lancet Oncology · doi:10.1016/s1470-2045(04)01564-5 · Cited by 231 · see citing works
Kelley, D. E., Mintun, M. A., Watkins, S. C., Simoneau, J. A., Jadali, F., Fredrickson, A., Beattie, J., & Thériault, R. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118724 · Cited by 228 · see citing works
Overexpression of glucose transporter 1 and increased FDG uptake in pancreatic carcinoma.
Reske, S. N., Grillenberger, K. G., Glatting, G., Port, M., Hildebrandt, M., Gansauge, F., & Beger, H. G. (1997) · PubMed · Cited by 197 · see citing works
Whole-body FDG-PET imaging in the management of patients with cancer
Hustinx, R., Bénard, F., & Alavi, A. A. (2002) · Seminars in Nuclear Medicine · doi:10.1053/snuc.2002.29272 · Cited by 197 · see citing works
Self-citationHepatic expression and cellular distribution of the glucose transporter family
Karim, S. (2012) · World Journal of Gastroenterology · doi:10.3748/wjg.v18.i46.6771 · Cited by 190 · see citing works
Yip, W., Sequeira, I., Plank, L., & Poppitt, S. (2017) · Nutrients · doi:10.3390/nu9111273 · Cited by 177 · see citing works
De novo lipogenesis during controlled overfeeding with sucrose or glucose in lean and obese women
McDevitt, R. M., Bott, S. J., Harding, M., Coward, W. A., Bluck, L. J., & Prentice, A. M. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.6.737 · Cited by 166 · see citing works
Quantitative assessment of tumor metabolism using FDG-PET imaging
Weber, W., Schwaiger, M., & Avril, N. E. (2000) · Nuclear Medicine and Biology · doi:10.1016/s0969-8051(00)00141-4 · Cited by 166 · see citing works
Utility of high fat and low carbohydrate diet in suppressing myocardial FDG uptake
Harisankar, C. N. B., Mittal, B. R., Agrawal, K., et al. (2011) · Journal of Nuclear Cardiology · doi:10.1007/s12350-011-9422-8 · Cited by 150 · see citing works
Variations in Clinical PET/CT Operations: Results of an International Survey of Active PET/CT Users
Beyer, T., Czernin, J., & Freudenberg, L. S. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.079624 · Cited by 136 · see citing works
Pathways for glucose disposal after meal ingestion in humans
Woerle, H. J., Meyer, C., Dostou, J. M., Gosmanov, N. R., Islam, N., Popa, E., Wittlin, S. D., Welle, S. L., & Gerich, J. E. (2003) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00365.2002 · Cited by 133 · see citing works
The Pivotal Role of FDG-PET/CT in Modern Medicine
Hess, S., Blomberg, B. A., Zhu, H. J., et al. (2014) · Academic Radiology · doi:10.1016/j.acra.2013.11.002 · Cited by 127 · see citing works
Self-citationThe mechanism of accumulation of tumour-localising radiopharmaceuticals
Pauwels, E. K. J., McCready, V. R., Stoot, J. H. M. B., & van Deurzen, D. F. P. (1998) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s002590050229 · Cited by 125 · see citing works
Nakamoto, Y., Zasadny, K., Minn, H., & Wahl, R. (2002) · Molecular Imaging and Biology · doi:10.1016/s1536-1632(01)00004-x · Cited by 115 · see citing works
Volpi, S., Ali, J. M., Tasker, A. D., Peryt, A., Aresu, G., & Coonar, A. S. (2018) · Annals of Translational Medicine · doi:10.21037/atm.2018.01.25 · Cited by 110 · see citing works
Steroid-induced hyperglycemia: An underdiagnosed problem or clinical inertia? A narrative review
Bonaventura, A., & Montecucco, F. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.03.006 · Cited by 108 · see citing works
Gheller, B. J. F., Riddle, E. S., Lem, M. R., & Thalacker-Mercer, A. E. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050901 · Cited by 98 · see citing works
Diagnostic usefulness of FDG PET for pancreatic mass lesions
Koyama, K., Okamura, T., Kawabe, J., et al. (2001) · Annals of Nuclear Medicine · doi:10.1007/bf02987835 · Cited by 93 · see citing works
Effects of hyperglycemia on FDG uptake in human brain and glioma.
Ishizu, K., Nishizawa, S., Yonekura, Y., Sadato, N., Magata, Y., Tamaki, N., Tsuchida, T., Okazawa, H., Miyatake, S., & Ishikawa, M. (1994) · PubMed · Cited by 91 · see citing works
Reference Range for Intrapatient Variability in Blood-Pool and Liver SUV for <sup>18</sup>F-FDG PET
Boktor, R. R., Walker, G., Stacey, R., Gledhill, S., & Pitman, A. G. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.108530 · Cited by 90 · see citing works
Self-citationSlieker, L. J., Sundell, K. L., Heath, W. F., Osborne, H. E., Bue, J., Manetta, J., & Sportsman, J. R. (1992) · Diabetes · doi:10.2337/diab.41.2.187 · Cited by 90 · see citing works
Capirci, C., Rubello, D., Chierichetti, F., Crepaldi, G., Fanti, S., Mandoliti, G., Salviato, S., Boni, G., Rampin, L., Polico, C., et al. (2006) · American Journal of Roentgenology · doi:10.2214/ajr.05.0902 · Cited by 87 · see citing works
Diagnosis and evaluation of gastric cancer by positron emission tomography
Wu, C. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i16.4574 · Cited by 86 · see citing works
Metabolic regulation of glucose transport
Ismail-Beigi, F. (1993) · The Journal of Membrane Biology · doi:10.1007/bf00234646 · Cited by 85 · see citing works
Effects of blood glucose level on 18F-FDG uptake for PET/CT in normal organs: A systematic review
Sprinz, C., Altmayer, S., Zanon, M., Watte, G., Irion, K., Marchiori, E., & Hochhegger, B. (2018) · PLOS ONE · doi:10.1371/journal.pone.0193140 · Cited by 82 · see citing works
[18F]Fluorodeoxyglucose Uptake in Tumors
Minn, H. R. I., Leskinen-Kallio, S., Lindholm, P., Bergman, J., Ruotsalainen, U., Teräs, M., & Haaparanta‐Solin, M. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199301000-00021 · Cited by 72 · see citing works
GLUT-1 overexpression as an unfavorable prognostic biomarker in patients with colorectal cancer
Yang, J. L., Wen, J., Tian, T., Lu, Z., Wang, Y., Wang, Z., Wang, X., & Yang, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.14352 · Cited by 71 · see citing works
Marom, E. M., Aloia, T. A., Moore, M.-B., Hara, M., Herndon, J. E., Harpole, D. H., Goodman, P. C., & Patz, E. F. (2001) · Lung Cancer · doi:10.1016/s0169-5002(00)00250-6 · Cited by 69 · see citing works
The glucose transporter and blood‐brain barrier of human brain tumors
Guérin, C. J., Laterra, J., Hruban, R. H., et al. (1990) · Annals of Neurology · doi:10.1002/ana.410280606 · Cited by 69 · see citing works
Zhao, S., Kuge, Y., Tsukamoto, E., Mochizuki, T., Kato, T., Hikosaka, K., Hosokawa, M., Kohanawa, M., & Tamaki, N. (2001) · European Journal of Nuclear Medicine · doi:10.1007/s002590100517 · Cited by 68 · see citing works
What causes false-negative PET findings for solid-type lung cancer?
Iwano, S., Ito, S., Tsuchiya, K., Kato, K., & Naganawa, S. (2012) · Lung Cancer · doi:10.1016/j.lungcan.2012.10.018 · Cited by 67 · see citing works
Self-citationRohde, M., Dyrvig, A., Johansen, J., Sørensen, J. A., Gerke, O., Nielsen, A. L., Høilund‐Carlsen, P. F., & Godballe, C. (2014) · European Journal of Cancer · doi:10.1016/j.ejca.2014.05.015 · Cited by 64 · see citing works
Impact of Intravenous Insulin on <sup>18</sup>F-FDG PET in Diabetic Cancer Patients
Roy, F.-N., Beaulieu, S., Boucher, L., Bourdeau, I., & Cohade, C. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.056283 · Cited by 63 · see citing works
Sprinz, C., Zanon, M., Altmayer, S., Watte, G., Irion, K., Marchiori, E., & Hochhegger, B. (2018) · Scientific Reports · doi:10.1038/s41598-018-20529-4 · Cited by 59 · see citing works
Challapalli, A., & Aboagye, E. O. (2016) · Frontiers in Oncology · doi:10.3389/fonc.2016.00044 · Cited by 57 · see citing works
The Future in Diagnosis and Staging of Lung Cancer: Positron Emission Tomography
Fischer, B. M., & Mortensen, J. (2006) · Respiration · doi:10.1159/000092080 · Cited by 55 · see citing works
Insulin regulation of glucose transport and phosphorylation in skeletal muscle assessed by PET
Kelley, D. E., Williams, K. V., & Price, J. C. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.277.2.e361 · Cited by 54 · see citing works
Barwick, T. D., Lyons, O., Mikhaeel, N. G., et al. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2865-9 · Cited by 53 · see citing works
Self-citationBertoldo, A., Pencek, R. R., Azuma, K., Price, J. C., Kelley, C., Cobelli, C., & Kelley, D. E. (2006) · Diabetes · doi:10.2337/db06-0762 · Cited by 52 · see citing works
Kato, H., Takita, J., Miyazaki, T., et al. (2003) · PubMed · Cited by 51 · see citing works
Viglianti, B. L., Wong, K. K., Wimer, S. M., Parameswaran, A., Nan, B., Ky, C., Townsend, D. M., Rubello, D., Frey, K. A., & Gross, M. D. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.01.166 · Cited by 48 · see citing works
Self-citationIncreased F-18 FDG Intestinal Uptake in Diabetic Patients on Metformin
Bybel, B., Greenberg, I. D., Paterson, J., Ducharme, J., & Leslie, W. D. (2011) · Clinical Nuclear Medicine · doi:10.1097/rlu.0b013e318217399e · Cited by 47 · see citing works
Self-citationQuantification of tumour 18 F-FDG uptake: Normalise to blood glucose or scale to liver uptake?
Keramida, G., Dizdarevic, S., Bush, J., & Peters, A. M. (2015) · European Radiology · doi:10.1007/s00330-015-3659-6 · Cited by 40 · see citing works
Self-citationHara, T., Higashi, T., Nakamoto, Y., Suga, T., Saga, T., Ishimori, T., Ishizu, K., Kawashima, H., Kawase, S., Matsumoto, K., et al. (2009) · Annals of Nuclear Medicine · doi:10.1007/s12149-009-0288-7 · Cited by 40 · see citing works
Simonson, G. D., & Kendall, D. M. (2005) · Coronary Artery Disease · doi:10.1097/00019501-200512000-00002 · Cited by 38 · see citing works
PET-Based Personalized Management in Clinical Oncology
Basu, S. K., & Alavi, A. A. (2016) · PET Clinics · doi:10.1016/j.cpet.2016.03.002 · Cited by 35 · see citing works
Self-citationLindholm, H., Brolin, F., Jonsson, C., & Jacobsson, H. (2013) · EJNMMI Research · doi:10.1186/2191-219x-3-50 · Cited by 34 · see citing works
Self-citationWerner, R. A., Schmid, J.-S., Higuchi, T., et al. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.199778 · Cited by 33 · see citing works
Self-citationPositron emission tomography imaging in evaluation of cancer patients.
Alavi, A. A., Kumar, R., Bhargava, P., Bozkurt, M. F., Zhuang, H. M., & Potenta, S. E. (2003) · Indian Journal of Cancer · doi:10.4103/0019-509x.13063 · Cited by 30 · see citing works
Self-citationChronic Hyperglycemia Increases the Density of Glucose Transporters in Human Erythrocyte Membranes*
HARIK, S. I., BEHMAND, R. A., & ARAFAH, B. M. (1991) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-72-4-814 · Cited by 26 · see citing works
Viglianti, B. L., Wale, D. J., Wong, K. K., Johnson, T. D., Ky, C., Frey, K. A., & Gross, M. D. (2018) · Radiology · doi:10.1148/radiol.2018171356 · Cited by 24 · see citing works
Self-citationCaobelli, F., Pizzocaro, C., Paghera, B., & Guerra, U. P. (2012) · Nuclear Medicine Communications · doi:10.1097/mnm.0b013e32835d1034 · Cited by 20 · see citing works
Self-citationVariability of Hepatic 18F-FDG Uptake at Interim PET in Patients With Hodgkin Lymphoma
Rubello, D., Gordien, P., Morlière, C., Guyot, M., Bordenave, L., Colletti, P. M., & Hindié, E. (2015) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000000828 · Cited by 20 · see citing works
Slieker, L. J., Sundell, K. L., Heath, W. F., et al. (1992) · Diabetes · doi:10.2337/diabetes.41.2.187 · Cited by 19 · see citing works
Janssen, M. H. M., Öllers, M., van Stiphout, R. G. P. M., Riedl, R. G., van den Bogaard, J., Buijsen, J., Lambin, P., & Lammering, G. (2010) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2010.01.021 · Cited by 18 · see citing works
Targeting of the insulin-regulatable glucose transporter (GLUT-4)
James, D. E. (1994) · Biochemical Society Transactions · doi:10.1042/bst0220668 · Cited by 17 · see citing works
18F-fluorodeoxyglucose uptake in tumor.
Khan, N. A., Islam, M. M., Mahmood, S., et al. (2011) · PubMed · Cited by 17 · see citing works
García, J. R., Sanchis, A., Juan, J., Tomas, J., Domenech, A., Soler, M., Moragas, M., & Riera, E. (2014) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000082 · Cited by 16 · see citing works
Lococo, F., Galeone, C., Formisano, D., et al. (2016) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezw394 · Cited by 15 · see citing works
Self-citationCheung, M. K., Ong, S. Y., Goyal, U. D., Wertheim, B. C., Hsu, C. C.-C., & Yi, S. K. (2017) · Cureus · doi:10.7759/cureus.1146 · Cited by 14 · see citing works
Self-citationDoes hyperglycemia affect the diagnostic value of 18F-FDG PET/CT?
Mirpour, S., Meteesatien, P., & Khandani, A. H. (2011) · Revista Española de Medicina Nuclear e Imagen Molecular · doi:10.1016/j.remn.2011.05.006 · Cited by 13 · see citing works
Tatçı, E., Biner, İ. U., Emir, S., et al. (2017) · Molecular Imaging and Radionuclide Therapy · doi:10.4274/mirt.94914 · Cited by 13 · see citing works
Self-citation18F-FDGPET/CT: diabetes and hyperglycaemia
Niccoli-Asabella, A., Iuele, F. I., Merenda, N., Pisani, A. R., Notaristefano, A., & Rubini, G. (2013) · Nuclear Medicine Review · doi:10.5603/nmr.2013.0035 · Cited by 11 · see citing works
Cerfolio, R. J. (2006) · Yearbook of Surgery · doi:10.1016/s0090-3671(08)70594-9 · Cited by 11 · see citing works
Heiss, W. (2017) · European Journal of Neurology · doi:10.1111/ene.13385 · Cited by 10 · see citing works
Hiperglucemia inducida por estrés en pacientes ancianos hospitalizados no críticos
Carrasco-Sánchez, F. J., Carretero‐Gómez, J., Gómez‐Huelgas, R., García-Ordóñez, M. Á., Pardo-Ortega, M. V., de Escalante-Yangüela, B., Polo, L. M., Formiga, F., & Ena, J. (2018) · Revista Clínica Española · doi:10.1016/j.rce.2018.02.017 · Cited by 10 · see citing works
Muscle Glucose Metabolism in Chronic Obstructive Pulmonary Disease Patients
Sancho‐Muñoz, A., Trampal, C., Pascual-Guàrdia, S., et al. (2014) · Archivos de Bronconeumología · doi:10.1016/j.arbr.2014.04.003 · Cited by 9 · see citing works
Self-citationDynamic PET-CT studies for characterizing nasopharyngeal carcinoma metabolism
Huang, B., Khong, P., Kwong, D. L., et al. (2011) · Nuclear Medicine Communications · doi:10.1097/mnm.0b013e32834dfa0c · Cited by 8 · see citing works
Moghbel, M. C., Newberg, A. B., & Alavi, A. A. (2016) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53485-9.00012-x · Cited by 8 · see citing works
Self-citationUtilización de glucosa en los músculos de pacientes con enfermedad pulmonar obstructiva crónica
Sancho‐Muñoz, A., Trampal, C., Pascual-Guàrdia, S., et al. (2013) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2013.10.011 · Cited by 5 · see citing works
Self-citationHyperglycemia: A complication of chemotherapy in children
Walker, E. D. (1988) · Cancer Nursing · doi:10.1097/00002820-198802000-00004 · Cited by 5 · see citing works
Seasonal Temperature Changes Do Not Affect Cardiac Glucose Metabolism
Schildt, J., Loimaala, A., Hippeläinen, E. T., et al. (2015) · International Journal of Molecular Imaging · doi:10.1155/2015/916016 · Cited by 2 · see citing works
Self-citation(2002) · PubMed · Cited by 1 · see citing works
Glucose transporter proteins in brain: Delivery of glucose to neurons and glia
Vannucci, S. J., Maher, F., & Simpson, I. A. (1997) · Glia · doi:10.1002/(sici)1098-1136(199709)21:1
Flagged first, then by citations
Research works printed but not linked: 2
- Carrasco-Sanchez FJ, et al. Stress-induced hyperglycemia on complications in non-critically elderly hospitalized patients. Rev Clin Esp. 2018;218(5):223–31.
- World Health Organization. Definition and diagnosis of diabetes mellitus and intermediate hyperglycemia. Geneva, World Health Organisation; 2006.
Cited by
Sorted by citations
EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3
Guedj, É., Varrone, A., Boellaard, R., Albert, N. L., Barthel, H., van Berckel, B. N. M., Brendel, M., Cecchin, D., Ekmekçioğlu, Ö., Garibotto, V., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05603-w · Cited by 299 · see citing works
“might, at least in theory, impact diagnostic accuracy [93, 94].”
BackgroundUnderstanding multifactorial brain changes in type 2 diabetes: a biomarker perspective
Biessels, G. J., Nobili, F. M., Teunissen, C. E., Simó, R., & Scheltens, P. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30139-3 · Cited by 195 · see citing works
A Review of Machine Learning Algorithms for Biomedical Applications
Binson, V. A., Thomas, S., Subramoniam, M., Arun, J., Naveen, S., & Madhu, S. (2024) · Annals of Biomedical Engineering · doi:10.1007/s10439-024-03459-3 · Cited by 151 · see citing works
“Support Vector Machines have been used for various medical data classification tasks, such as predicting the likelihood of heart disease and classifying breast and lung cancers [24, 28, 42, 56, 61, 71, 72].”
Dias, A. H., Hansen, A. K., Munk, O. L., et al. (2022) · EJNMMI Research · doi:10.1186/s13550-022-00884-0 · Cited by 75 · see citing works
Panda, A., Garg, I., Truty, M. J., Kline, T. L., Johnson, M. P., Ehman, E. C., Suman, G., Anaam, D. A., Kemp, B. J., Johnson, G. B., et al. (2021) · American Journal of Roentgenology · doi:10.2214/ajr.20.24567 · Cited by 71 · see citing works
Brain control of blood glucose levels: implications for the pathogenesis of type 2 diabetes
Alonge, K. M., D’Alessio, D. A., & Schwartz, M. W. (2020) · Diabetologia · doi:10.1007/s00125-020-05293-3 · Cited by 58 · see citing works
Assessing PET Parameters in Oncologic 18F-FDG Studies
Sarikaya, İ., & Sarıkaya, A. (2019) · Journal of Nuclear Medicine Technology · doi:10.2967/jnmt.119.236109 · Cited by 53 · see citing works
“However various other studies and a recent metaanalysis study reported that hyperglycemia increases liver and blood pool activity (42-46).”
BackgroundSNMMI Procedure Standard/EANM Practice Guideline for Brain [ 18 F]FDG PET Imaging, Version 2.0
Arbizu, J., Morbelli, S. D., Minoshima, S., Barthel, H., Kuo, P. H., Weehaeghe, D. V., Horner, N., Colletti, P. M., & Guedj, É. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268754 · Cited by 55 · see citing works
Brain positron emission tomography (PET) and cognitive abnormalities one year after COVID-19
Ferrucci, R., Cuffaro, L., Capozza, A., Rosci, C. E., Maiorana, N. V., Groppo, E., Reitano, M. R., Poletti, B., Ticozzi, N., Tagliabue, L., et al. (2023) · Journal of Neurology · doi:10.1007/s00415-022-11543-8 · Cited by 48 · see citing works
“Patients fasted for a minimum of 6 h and blood glucose levels were checked as below 200 mg/dl [23] before intravenously injecting 3.”
MethodInfluences on PET Quantification and Interpretation
Rogasch, J. M. M., Hofheinz, F., van Heek, L., Voltin, C.-A., Boellaard, R., & Kobe, C. (2022) · Diagnostics · doi:10.3390/diagnostics12020451 · Cited by 50 · see citing works
“Conversely, raising blood glucose and/or insulin levels increases [18F]FDG uptake in the liver, skeletal muscles, and myocardium mainly via GLUT2 and 4 [1,6,22].”
BackgroundUsefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients
Samołyk-Kogaczewska, N., Sierko, E., Dziemiańczyk-Pakieła, D., Nowaszewska, B. K., Lukasik, M., & Reszeć, J. (2020) · Cancers · doi:10.3390/cancers12020511 · Cited by 41 · see citing works
Stammes, M. A., Bakker, J., Vervenne, R. A. W., Zijlmans, D. G. M., van Geest, L., Vierboom, M., Langermans, J. A. M., & Verreck, F. A. W. (2021) · Animals · doi:10.3390/ani11010204 · Cited by 32 · see citing works
“Within this range, we can expect that competition and interference of natural glucose with FDG is minimal [4,16,18].”
BackgroundMethodChen, L., Zheng, S., Chen, L., et al. (2023) · Journal of Nuclear Medicine · doi:10.2967/jnumed.123.266079 · Cited by 35 · see citing works
“In addition, the patient ’ s blood glucose concentration, insulin concentration, and level of in fl ammation may in fl uence 18 F-FDG PET/CT parameters ( 20 ).”
BackgroundHyperglycemia and 18F-FDG PET/CT, issues and problem solving: a literature review
Finessi, M., Bisi, G., & Deandreis, D. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01385-8 · Cited by 32 · see citing works
“A recent meta-analysis published in 2019 [29] assessed the effect of BGL in 20,807 individual on SUVmax and SUV mean measurements of 8380 patients.”
BackgroundMethodDoes nutrition for cancer patients feed the tumour? A clinical perspective
Bozzetti, F., & Stanga, Z. G. (2020) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2020.103061 · Cited by 29 · see citing works
Zhao, L., Pang, Y., Chen, S., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05989-1 · Cited by 29 · see citing works
Pijl, J. P., Kwee, T. C., Slart, R. H. J. A., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05071-8 · Cited by 29 · see citing works
Frontiers in positron emission tomography imaging of the vulnerable atherosclerotic plaque
MacAskill, M. G., Newby, D. E., & Tavares, A. (2019) · Cardiovascular Research · doi:10.1093/cvr/cvz162 · Cited by 28 · see citing works
“Additionally, pre-scan hyperglycaemia has been shown to impact standardized uptake value outcome measures from [(18)F]FDG scans.(53)”
MethodComparison of [18F]FAPI-42 and [18F]FDG PET/CT in the evaluation of systemic vasculitis
Zhong, K., Chen, H., Hou, P., et al. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06986-2 · Cited by 27 · see citing works
“Moreover, hyperglycemia may interfere with the visual assessment of vasculitis on FDG PET imaging, as increased blood glucose may lead to increased back - ground levels in the liver and blood pools [29 , 30].”
FDG PET/CT of the non-malignant liver in an increasingly obese world population
Keramida, G., & Peters, A. M. (2020) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12651 · Cited by 25 · see citing works
Self-citationCossu, V., Bauckneht, M., Bruno, S., Orengo, A. M., Emionite, L., Balza, E., Castellani, P., Piccioli, P., Miceli, A., Raffa, S., et al. (2020) · Translational Oncology · doi:10.1016/j.tranon.2020.100752 · Cited by 14 · see citing works
Hess, S., Scholtens, A. M., & Gormsen, L. C. (2020) · PET Clinics · doi:10.1016/j.cpet.2019.11.001 · Cited by 15 · see citing works
Takahashi, Y., Suzuki, S., Matsutani, N., & Kawamura, M. (2019) · Thoracic Cancer · doi:10.1111/1759-7714.12978 · Cited by 16 · see citing works
Chen, X., Bai, G., Zang, R., Song, P., Bie, F., Huai, Q., Li, Y., Liu, Y., Zhou, B., Bie, Y., et al. (2023) · Translational Oncology · doi:10.1016/j.tranon.2023.101725 · Cited by 13 · see citing works
Husmann, L., Gruenig, H., Reiner, C. S., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-15641-5 · Cited by 15 · see citing works
Husmann, L., Eberhard, N., Huellner, M. W., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-93331-4 · Cited by 15 · see citing works
Kanemoto, H., Kazui, H., Adachi, H., et al. (2020) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5315 · Cited by 15 · see citing works
“We set the upper limit of pre-scan blood glucose for FDG-PET at 200 mg/dL, according to a systematic review.(26)”
MethodHao, L., Wang, L., Ju, M., Feng, W., Guo, Z., Sun, X., & Xiao, R. (2023) · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · doi:10.1016/j.biopha.2023.115649 · Cited by 18 · see citing works
Pijl, J. P., Glaudemans, A. W. J. M., Gheysens, O. S., Slart, R. H. J. A., & Kwee, T. C. (2023) · Journal of Nuclear Medicine · doi:10.2967/jnumed.122.264839 · Cited by 15 · see citing works
Einama, T., Yamagishi, Y., Takihata, Y., et al. (2022) · Cancers · doi:10.3390/cancers14153688 · Cited by 14 · see citing works
“Nowadays, diabetes mellitus patients with blood glucose levels of less than 200 mg/dl are still appropriate candidates to undergo PET/CT, as blood glucose levels of less than 200 mg/dl would not significantly change the tumor’s FDG uptake [31].”
BackgroundPET/CT in therapy control of infective native aortic aneurysms
Husmann, L., Huellner, M. W., Eberhard, N., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-84658-z · Cited by 14 · see citing works
Husmann, L., Deibel, A., Skawran, S., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270695 · Cited by 13 · see citing works
“Body weight, height, and blood glucose level were measured prior to imaging (blood glucose levels<12 mmol/l were accepted [9]).”
MethodMingels, C., Weissenrieder, L., Zeimpekis, K., Sari, H., Nardo, L., Caobelli, F., Alberts, I., Rominger, A., & Pyka, T. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06646-5 · Cited by 12 · see citing works
Self-citationFAPI PET Versus FDG PET/CT in Gastrointestinal Cancers: An Overview
Lin, Z., Rasinski, P., Nilsson, T., Holstensson, M., Song, Y., Blomgren, A., Jutidamrongphan, W., Pandya, K., Hong, J., Rominger, A., et al. (2025) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2025.04.006 · Cited by 13 · see citing works
Integrated 68Ga-FAPI-04 PET/MR in Pancreatic Cancer
Zhang, Z., Guo, S., Cheng, C., et al. (2024) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000005300 · Cited by 10 · see citing works
Jahromi, A. H., Moradi, F., & Hoh, C. K. (2019) · PubMed Central · Cited by 9 · see citing works
Korsholm, K., Overbeck, N., Dias, A. H., Loft, A., Andersen, F. L., & Fischer, B. M. (2023) · Diagnostics · doi:10.3390/diagnostics13050947 · Cited by 9 · see citing works
“It has been reported that higher blood glucose levels are associated with increased FDG-uptake in liver [32,33], and it is recommended that patients are kept euglycemic, especially when the liver is the organ of interest [34].”
BackgroundIwano, S., Ito, S., Kamiya, S., et al. (2019) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000002591 · Cited by 9 · see citing works
Self-citationImmunopathogenesis of lethal H5N1 avian influenza virus clade 2.3.4.4b infection in macaques
Andersen, H., Aïd, M., Stone, J. J., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.07.020 · Cited by 8 · see citing works
Ferrari, C., Pisani, A. R., Masi, T., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11195541 · Cited by 8 · see citing works
“These considerations pointed out the need for protocol standardization in order to increase reproducibility, avoiding potential pitfalls of reference region [25,26].”
BackgroundPredictors of infectious foci on FDG PET/CT in Staphylococcus aureus bacteremia
Ghanem‐Zoubi, N., Abu-Elhija, J., Kagna, O., Hellou, M. M., Qasum, M., Haber, D. A., Paul, M., & Keidar, Z. (2023) · Scientific Reports · doi:10.1038/s41598-023-41336-6 · Cited by 7 · see citing works
“Blood glucose levels before FDG PET/CT rather than diabetes mellitus per se seems to be the factor affecting FDG uptake 13,16,17 .”
BackgroundResultInfluentialGeiger, K. R., Pasvolsky, O., Berger, T., Raanani, P., Shochat, T., Gurion, R., Anati, T., Groshar, D., Gafter‐Gvili, A., & Bernstine, H. (2022) · EJNMMI Research · doi:10.1186/s13550-022-00924-9 · Cited by 7 · see citing works
Godard, F., Durot, E., Durot, C., et al. (2022) · Medicine · doi:10.1097/md.0000000000028791 · Cited by 7 · see citing works
“A meta-analysis published in 2019([22]) highlighted a statistical association between the glycemia and the cerebral SUVmax (negative linear correlation: P< .”
BackgroundChae, Y., Yun, T., Koo, Y., Lee, D., Kim, H., Yang, M., & Kang, B. (2021) · Frontiers in Veterinary Science · doi:10.3389/fvets.2021.708237 · Cited by 7 · see citing works
Malherbe, S. T., Chen, R., Yu, X., et al. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.adt5626 · Cited by 6 · see citing works
Shanahan, C. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1532961 · Cited by 6 · see citing works
Management of hyperglycemia in oncological patients scheduled for an FDG-PET/CT examination
Evangelista, L., Gori, S., Rubini, G., & Gallo, M. (2019) · Clinical and Translational Imaging · doi:10.1007/s40336-019-00347-y · Cited by 6 · see citing works
Sun, L., Wu, Y., Yang, J., Liang, J., Li, P., Yu, X., Meng, N., Sun, T., Wang, M., & Chen, C. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07337-5 · Cited by 5 · see citing works
“In comparison with traditional SUL mean , we observed that the SUL mean levels in the DM group were significantly lower than those in the HC group, which is consistent with the findings of previous studies [56, 57].”
Sun, L., Wu, Y., Sun, T., Li, P., Liang, J., Yu, X., Yang, J., Meng, N., Wang, M., & Chen, C.-L. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07081-w · Cited by 5 · see citing works
Kim, D., Ko, H. Y., Lee, S., Lee, Y., Ryu, S., Kim, S. Y., Chung, J.-I., Lee, M., Moon, J. H., Chang, J. H., et al. (2020) · Cancers · doi:10.3390/cancers12071977 · Cited by 5 · see citing works
Asmar, K., Amine, M. A. E., Bejjani, A., Makki, M. H., Tamim, H., & Abi‐Ghanem, A. S. (2020) · Clinical Imaging · doi:10.1016/j.clinimag.2020.01.003 · Cited by 5 · see citing works
Son, S. H., Ahn, J. H., Shin, K. C., Kim, H. W., & Kong, E. (2023) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000001686 · Cited by 4 · see citing works
Knudsen, L. V., Vafaee, M. S., Sheldrick, A. J., & Michel, T. M. (2026) · Journal of Neural Transmission · doi:10.1007/s00702-025-03093-w · Cited by 3 · see citing works
Influence of Covariates on 18F-FDG PET/CT Diagnostic Accuracy for Liver Metastasis
Habouzit, V., Flaus, A., Phelip, J., Grange, S., Roy, B. L., Grange, R., & Prévôt, N. (2024) · Diagnostics · doi:10.3390/diagnostics14141466 · Cited by 3 · see citing works
“These findings could contribute to the refinement of imaging protocols and inspire the design of prospective trials aimed at improving PET/CT diagnostic accuracy, especially in challenging clinical scenarios.”
BackgroundLiang, M., Du, Y., Zhaoyu, L., Shanshi, L., Zhao, G., Fan, Y., Xiuying, Y., & Jianhua, Z. (2023) · Scientific Reports · doi:10.1038/s41598-023-45094-3 · Cited by 3 · see citing works
“Currently, managing fasting blood glucose levels for diabetic patients who undergo 18 F-FDG PET/CT examination remains a challenge 1,5,8 .”
BackgroundKaida, H., Yasuda, T., Shiraishi, O., Kato, H., Kimura, Y., Hanaoka, K., Yamada, M., Matsukubo, Y., Tsurusaki, M., Kitajima, K., et al. (2022) · BMC Cancer · doi:10.1186/s12885-022-10281-4 · Cited by 3 · see citing works
“with a pre-scan blood glucose level at 110–200 mg/dL is not associated with significantly different SUVmax and SUVmean values in the tumor [14].”
BackgroundHepatic and splenic 18F‐FDG blood clearance rates (Ki) in hepatic steatosis and diabetes mellitus
Keramida, G., Pereira, L. R., Kaya, G., & Peters, A. M. (2019) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12610 · Cited by 3 · see citing works
“These studies, however, produced conflicting results with respect both to BGL (Busing et al., 2013; Groheux et al., 2013; Keramida et al., 2014a; Eskian et al., 2019) and to hepatic steatosis (Abele & Fung, 2010; Bural et al., 2010; Kamimura et al., 2010; Abikhzer et al., 2011).”
ResultSelf-citationElevated glucose levels in melanoma patients − a real-world analysis
Walter, J. E., Bojanic, B., Dittli, M., Fehr, N., Sartoretti, T., Schwyzer, M., Binz, K., Gennari, A. G., Ernst, M., Huellner, M. W., et al. (2025) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2025.100405 · Cited by 2 · see citing works
“Additionally, elevated glucose levels as measured in this study and even mild hyperglycemia can directly compete with FDG, reducing tumor-to-background contrast and compromising standardized uptake value measurements, thereby affecting diagnostic accuracy [16,17].”
Positron emission tomography for phenotyping inflammation of cardiovascular diseases
Luo, X., Jin, C., Chen, H., et al. (2024) · EngMedicine · doi:10.1016/j.engmed.2024.100040 · Cited by 2 · see citing works
Abd-Elkader, M. S., Elmaghraby, S. M., Abdel-Mohsen, M. A., & Khalil, M. M. (2024) · Annals of Nuclear Medicine · doi:10.1007/s12149-024-01985-7 · Cited by 2 · see citing works
Quantitative brain [18F]FDG PET beyond normal blood glucose levels
Rey‐Bretal, D., García-Varela, L., Gómez‐Lado, N., et al. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120873 · Cited by 2 · see citing works
“In clinical routine, scanning patients in a hyperglycemic state is discour-aged, and rescheduling the scan or using rapid-acting insulin injections are strongly recommended (Eskian et al., 2019).”
Tonda, K., Iwabuchi, Y., Shiga, T., Owaki, Y., Fujita, A., Nakahara, T., Sakurai, R., Shimizu, A., Yamada, Y., Okada, M., et al. (2023) · Diabetes, obesity and metabolism · doi:10.1111/dom.15247 · Cited by 1 · see citing works
“22,33 Our results also showed that fatty liver had minimal effect on the SUL value of the liver.”
BackgroundIntrapatient variability of 18F-FDG uptake in normal tissues
Sayed, M. H. M., Abdelnaim, A. K., & Mohamadien, N. R. (2022) · Journal of Clinical Imaging Science · doi:10.25259/jcis_23_2022 · Cited by 2 · see citing works
“Ten VOIs were placed on the brain (right cerebral hemisphere), right tonsil, blood pool (arch of the aorta), heart (left ventricle wall), right lung, right lobe of the liver, spleen, bone marrow (BM), fat and iliopsoas muscle (opposite third lumbar vertebra), away from any pathological 18F-FDG uptake or artifact that…”
BackgroundInfluentialBeattie, B., Akhurst, T., Augensen, F., & Humm, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266704
Aide, N., Tainturier, L.-E., Nganoa, C., Houdu, B., Kammerer, J., Galais, M., Ciappuccini, R., & Lasnon, C. (2020) · EJNMMI Research · doi:10.1186/s13550-020-0615-5 · Cited by 2 · see citing works
Altmayer, S., Zanon, M., Sprinz, C., Watte, G., & a, B. H. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04288-6 · Cited by 1 · see citing works
Mulugeta, P. G., PALERMO, N., Osman, M., et al. (2026) · American Journal of Roentgenology · doi:10.2214/ajr.26.34744 · Cited by 1 · see citing works
Diagnostic Performance of FAPI PET in Patients with Breast Cancer: A Systematic Review
Duijx, L. E. H. W., Lenaerts, M., Smidt, M. L., et al. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.126.272191 · Cited by 1 · see citing works
Gallium‐Containing Agents for Tumor Diagnosis and Therapy: Current Status and Future Prospects
Han, Y., Li, Q., Zheng, Y., Xia, D., & Zhou, Y. (2026) · Small · doi:10.1002/smll.73698 · Cited by 2 · see citing works
Horňák, G., Dias, A. H., Munk, O. L., et al. (2025) · Diagnostics · doi:10.3390/diagnostics15202651 · Cited by 1 · see citing works
“…its administration, followed by the reconstruction of a standardized uptake value (SUV bw ) image, assessing the semiquantitative relation of tracer uptake to glucose metabolism, normalized by the injected dose and body weight and adjusted for factors such as timing and decay correction [2–4].”
Elevated fasting glucose is common in lung cancer patients undergoing 18F-FDG PET/CT: A brief report
Bojanic, B., Schwyzer, M., Sartoretti, T., Fischer, A., Binz, K., Hofer, G., Gennari, A. G., Ernst, M., Huellner, M. W., Walter, J. E., et al. (2025) · Metabolism Open · doi:10.1016/j.metop.2025.100406 · Cited by 1 · see citing works
“Elevated glucose levels above this threshold are associated with lower tumor SUVs and markedly reduced true-positive lesion detection in all organs and even earlier in the liver [16].”
The Role of PET Image Quantification in Modern Radiation Therapy
Abdelrahman, A., & Naqa, I. E. (2025) · PET Clinics · doi:10.1016/j.cpet.2025.07.008 · Cited by 1 · see citing works
Physiological Distribution of 18F-FDG in the Spinal Cord of Disease-Free Subjects
Kesim, S., & Özgüven, S. (2025) · Molecular Imaging and Radionuclide Therapy · doi:10.4274/mirt.galenos.2025.56514 · Cited by 1 · see citing works
“Previous studies reported lower cerebral 18 F-FDG uptake in patients with diabetes (22).”
Elsoudy, N. M., Anwar, M., Amer, H. H., Yassien, H. M., & Abdelazeez, L. M. (2024) · Radiation Physics and Chemistry · doi:10.1016/j.radphyschem.2024.112438 · Cited by 1 · see citing works
Unexpected focal fluorodeoxyglucose uptake in main organs; pass through or pass by?
Lee, H., & Hwang, K.-H. (2024) · World Journal of Clinical Cases · doi:10.12998/wjcc.v12.i11.1885 · Cited by 1 · see citing works
Mahato, A., Jain, A., Prakash, V., et al. (2023) · World Journal of Nuclear Medicine · doi:10.1055/s-0043-1771283 · Cited by 1 · see citing works
Genseke, P., Wielenberg, C., Schreiber, J., Lücke, E., Frese, S., Walles, T., & Kreissl, M. C. (2023) · Diagnostics · doi:10.3390/diagnostics13071263 · Cited by 1 · see citing works
“As hepatic FDG uptake correlates closely with blood glucose levels, the ratio of lymph node to liver uptake could be used for the correction of interindividual differences in glucose metabolism [25,26].”
BackgroundWatanabe, M., Ashida, R., Miyakoshi, C., et al. (2023) · European Journal of Hybrid Imaging · doi:10.1186/s41824-023-00163-8 · Cited by 1 · see citing works
“investigated the influence of glucose levels on the FDG accumulation of tumours (Eskian et al. 2019).”
BackgroundVisualization of metabolic parameters after colorectal carcinoma patients using [68Ga]Ga-FAPI PETPreprint
Sun, R., Zeng, G., Huang, Z., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2548709/v1 · Cited by 1 · see citing works
April, G., Bruycker, J. D., Decaluwe, H., Haddad, É., Lambert, R., & Turpin, S. (2022) · Annals of Nuclear Medicine · doi:10.1007/s12149-022-01748-2 · Cited by 2 · see citing works
“Blood sugar levels were almost always normal in our cohort and therefore, it is unlikely that plasma glucose correction would be necessary in the pediatric population [3, 14].”
FDG PET Görüntülemelerin Kantitatif Değerlendirilmesi
Sezgın, C., Parlak, Y., Mütevelizade, G., et al. (2021) · Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi · doi:10.34087/cbusbed.804272 · Cited by 1 · see citing works
Positron emission tomography as a noninvasive tool in pharmacokinetic studies
Tambe, V., Kathar, U., Raval, N., et al. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-814425-1.00013-9 · Cited by 1 · see citing works
Cancer Staging with 18F-FDG PET/CT in Hyperglycemic Patients
Finessi, M., Liberini, V., & Deandreis, D. (2020) · Springer eBooks · doi:10.1007/978-3-030-53370-0_47 · Cited by 1 · see citing works
Zhang, Y., Tang, Y., & Hu, Y. (2026) · Clinical Medicine Insights Oncology · doi:10.1177/11795549261478021
Alper, E., & Ibrahim, E. A. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.126.272807
Knudsen, L. V., Vafaee, M. S., Farahani, Z. A., Sheldrick, A. J., & Michel, T. M. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-08053-4
68Ga-FAPI PET/CT features of thoracic sarcoidosis: a prospective observational study
Chen, R., Liu, S., Li, Z., et al. (2026) · BMC Pulmonary Medicine · doi:10.1186/s12890-026-04381-1
“Fasting before FDG PET/CT is routinely required to lower blood glucose levels, ensure optimal tracer accumulation in target tissues, while reducing physiological uptake in muscles, myocardium, liver, and other organs, thereby improving image quality and diagnostic accuracy [25].”
Obolenski, O., Hristova, I., Munk, O. L., Shekari, M., Holstensson, M., Higuchi, T., Stokke, C., Goh, V., Kreppel, B., Gaertner, F. C., et al. (2026) · EANM Innovation · doi:10.1016/j.eanmi.2026.100164
Impact of vial geometry on 18F radionuclide calibrator response using 68Ge/68Ga surrogate sources
Severi, F., Bovone, P., Amico, J., Pasetto, S., Salgarello, M., & Gorgoni, G. (2026) · Applied Radiation and Isotopes · doi:10.1016/j.apradiso.2026.112522
Ishikawa, T., Itoh, S., Kitamura, Y., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-8405525/v1
Application of Multimodal Radiomics in Assessing Neoadjuvant Therapeutic Efficacy for Breast Cancer
刘, 聪. (2025) · Journal of Clinical Personalized Medicine · doi:10.12677/jcpm.2026.51047
Severi, F., Bovone, P., Amico, J., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5244050
Kadam, S. M., Abbas, M., & Issa, S. (2024) · International Journal of Radiation Research · doi:10.61186/ijrr.22.4.831
Nakamura, S., Nakatani, K., Yoshino, K., et al. (2024) · Cureus · doi:10.7759/cureus.67387
“In addition, in tumors, FDG accumulation was decreased in the hyperglycemia group with blood glucose levels exceeding 200 mg/dl, while no significant correlation was found between lower blood glucose levels and FDG accumulation [5].”
BackgroundFocal incidental colorectal fluorodeoxyglucose uptake: Should it be spotlighted?
Lee, H., & Hwang, K.-H. (2024) · World Journal of Clinical Cases · doi:10.12998/wjcc.v12.i15.2466
Borg, S. M., Saleh, G. A., Batouty, N. M., et al. (2024) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-024-01247-6
“SUVmax represents the highest tracer uptake in the voxel of interest [7].”
BackgroundCentral Control of Glucose Homeostasis
Alonge, K. M., Francis, K. L., Richardson, N. E., & Schwartz, M. W. (2024) · Wiley eBooks · doi:10.1002/9781119697473.ch10
Predictors of infectious foci on FDG PET/CT in Staphylococcus aureus bacteremiaPreprint
Ghanem‐Zoubi, N., Abu-Elhija, J., Kagna, O., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2396220/v1
Husmann, L., Gruenig, H., Reiner, C. S., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1440759/v1
A Better Standard-Uptake-Value Body Habitus Normalizer for Fluorodeoxyglucose in HumansPreprint
Beattie, B. J., Akhurst, T. J., Augensen, F., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-294769/v2
- Authors
- Eskian, M., Alavi, A., Khorasanizadeh, M., Viglianti, B. L., Jacobsson, H., Barwick, T. D., Meysamie, A., Yi, S. K., Iwano, S., Bybel, B., Caobelli, F., Lococo, F., Gea, J., Sancho-Muñoz, A., Schildt, J., Tatcı, E., Lapa, C., Keramida, G., Peters, M., Boktor, R. R., John, J., Pitman, A. G., Mazurek, T., & Rezaei, N.
- Affiliations
- Universal Scientific Education and Research Network (IR)
- Hospital of the University of Pennsylvania (US)
- University of Michigan (US)
- Karolinska Institutet (SE)
- Imperial College Healthcare NHS Trust (GB)
- Tehran University of Medical Sciences (IR)
- University of Arizona (US)
- Nagoya University (JP)
- University of Manitoba (CA)
- University Hospital of Basel (CH)
- Santa Maria Nuova Hospital (IT)
- Hospital Del Mar (ES)
- Helsinki University Hospital (FI)
- Universitätsklinikum Würzburg (DE)
- Royal Brompton & Harefield NHS Foundation Trust (GB)
- Cairo University (EG)
- St Thomas' Hospital (GB)
- The University of Notre Dame Australia (AU)
- Medical University of Warsaw (PL)
- Corresponding author
- Alavi, Abass
- ORCID
- Venue
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2018-10-22
- Volume
- 46
- Issue
- 1
- Pages
- 224-237
- ISSN
- 1619-7070 (ISSN-L)
- 1619-7089
- OpenAlex
- W2897842442
- Cited by
- 109
- References
- 116
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 16 · 2023: 14 · 2022: 18 · 2021: 9 · 2020: 16 · 2019: 12
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- European Journal of Nuclear Medicine and Molecular Imaging (publishedVersion)
- PubMed (publishedVersion)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- OPUS (Augsburg University) (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiopharmaceutical Chemistry and Applications
- Keywords
- blood glucose, hyperglycemia, standardized uptake value, 18F-FDG PET, SUVmax, SUVmean, glucose metabolism, brain, liver, blood pool, muscle, tumors, FDG uptake
- MeSH terms
- Blood Glucose, Humans, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review