Effect of hyperglycemia on brain and liver 18F-FDG standardized uptake value (FDG SUV) measured by quantitative positron emission tomography (PET) imaging
Open accessAbstract
Purpose Blood glucose is routinely measured prior to 18 F-fluorodeoxyglucose (FDG) administration in positron emission tomography (PET) imaging to identify hyperglycemia that may affect image quality. In this study we explore the effects of blood glucose levels upon semi-quantitative standardized uptake value (SUV) measurements of target organs and tissues of interest and in particular address the relationship of blood glucose to FDG accumulation in the brain and liver.Methods 436 FDG PET/CT consecutive studies performed for oncology staging in 229 patients (226 male) at the Ann Arbor Veterans Administration Healthcare System were reviewed. All patients had blood glucose measured (112.4±34.1mg/dL) prior to injection of 466.2±51.8MBq (12.6±1.4mCi) of FDG. SUV measurements of brain, aortic arch blood-pool, liver, and spleen were obtained at 64.5±10.2min' post-injection.Results We found a negative inverse relationship of brain SUV with increasing plasma glucose, levels for both absolute and normalized (either to blood-pool or liver) values. Higher blood glucose levels had a mild effect upon liver and blood-pool SUV. By contrast, spleen SUV was independent of blood glucose, but demonstrated the greatest variability (deviation on linear regression). In contrast to other tissues, liver and spleen SUV normalized to blood-pool SUV were not dependent upon blood glucose levels.Conclusion The effects of hyperglycemia upon FDG uptake in brain and liver, over a range of blood glucose values generally considered acceptable for clinical PET imaging, may have measurable effects on semi-quantitative image analysis.
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Several studies suggested that the blood pool is a more optimal and stable reference tissue than the liver, as it is much less dependent than the liver on glycemia and other variables.
“Several studies suggested that the blood pool is a more optimal and stable reference tissue than the liver,[1,3,25,39,41] as it is much less dependent than the liver on glycemia and other variables.[10]”
From Intrapatient variability of 18F-FDG uptake in normal tissues (2022) · cites this paper as [10]
The Results and Discussion report that blood-pool SUV had less overall variability than liver SUV, including variability associated with glucose and patient-specific factors. But the Discussion says the glucose effects on blood and liver were not statistically different, so the claim that blood pool is much less dependent on glycemia overstates this source. (LLM, conf=0.87)
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Cites
From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors
Wahl, R. L., Jacene, H., Kasamon, Y., & Lodge, M. A. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.057307 · Cited by 3,777 · 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
FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0
Boellaard, R., O’Doherty, M. J., Weber, W., Mottaghy, F. M., Lonsdale, M. N., Stroobants, S. G., Oyen, W. J. G., Kotzerke, J., Hoekstra, O. S., Pruim, J., et al. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1297-4 · Cited by 1,329 · see citing works
Sokoloff, L. (1981) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1038/jcbfm.1981.4 · Cited by 560 · see citing works
EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2
Varrone, A., Asenbaum, S., Borght, T. V., Booij, J., Nobili, F. M., Någren, K., Darcourt, J., Ozlem Kapucu, L., Tatsch, K., Bartenstein, P., et al. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1264-0 · Cited by 545 · see citing works
Pharmacokinetic models for propofol—defining and illuminating the devil in the detail
Absalom, A. R., Mani, V., Smet, T. D., & Struys, M. M. R. F. (2009) · British Journal of Anaesthesia · doi:10.1093/bja/aep143 · Cited by 435 · see citing works
Estimated lean body mass as an index for normalization of body fluid volumes in humans
de Boer, P. (1984) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.1984.247.4.f632 · Cited by 280 · see citing works
Brain FDG PET and the Diagnosis of Dementia
Shivamurthy, V. K. N., Tahari, A. K., Marcus, C., & Subramaniam, R. M. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.13.12363 · Cited by 227 · see citing works
Suda, S., Shinohara, M., Miyaoka, M., Lucignani, G., Kennedy, C., & Sokoloff, L. (1990) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1990.92 · Cited by 108 · see citing works
Kinetics of Transport and Phosphorylation of 2‐Fluoro‐2‐Deoxy‐ d ‐Glucose in Rat Brain
Crane, P. D., Pardridge, W. M., Braun, L. D., & Oldendorf, W. H. (1983) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1983.tb12666.x · Cited by 104 · see citing works
Schuier, F. J., Orzi, F., Suda, S., Lucignani, G., Kennedy, C., & Sokoloff, L. (1990) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1990.134 · Cited by 88 · see citing works
Estimation of lean body mass in children
Peters, A. M., Snelling, H. L. R., Glass, D. M., & Bird, N. J. (2011) · British Journal of Anaesthesia · doi:10.1093/bja/aer057 · Cited by 83 · see citing works
Effects of blood glucose level on FDG uptake by liver: a FDG-PET/CT study
Kubota, K., Watanabe, H., Murata, Y., Yukihiro, M., Ito, K., Morooka, M., Minamimoto, R., Hori, A., & Shibuya, H. (2011) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2010.09.004 · Cited by 66 · see citing works
Kawasaki, K., Ishii, K., Saito, Y., Oda, K., Kimura, Y., & Ishiwata, K. (2008) · Annals of Nuclear Medicine · doi:10.1007/s12149-007-0099-7 · 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
Positron Emission Tomography Diagnosis of Alzheimer's Disease
Coleman, R. E. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.007 · Cited by 60 · see citing works
Heertum, R. L. V., & Tikofsky, R. S. (2003) · Seminars in Nuclear Medicine · doi:10.1053/snuc.2003.127294 · Cited by 53 · see citing works
Quantification 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
Ishibashi, K., Kawasaki, K., Ishiwata, K., & Ishii, K. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.127 · Cited by 37 · see citing works
Mori, K., Cruz, N. F., Dienel, G. A., Nelson, T. J., & Sokoloff, L. (1989) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1989.48 · Cited by 37 · see citing works
Normoglycemic plasma glucose levels affect F-18 FDG uptake in the brain
Claeys, J., Mertens, K., D’Asseler, Y., & Goethals, I. (2010) · Annals of Nuclear Medicine · doi:10.1007/s12149-010-0359-9 · Cited by 28 · see citing works
Gallucci, M., Limbucci, N., Catalucci, A., & Caulo, M. (2008) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2008.06.002 · Cited by 25 · see citing works
Effects of varying serum glucose levels on 18F-FDG biodistribution
Webb, R. L., Landau, E., Klein, D., DiPoce, J., Volkin, D., Belman, J., Voutsinas, N., & Brenner, A. I. (2015) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000319 · Cited by 18 · see citing works
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Eskian, M., Alavi, A., Khorasanizadeh, M., Viglianti, B. L., Jacobsson, H., Barwick, T. D., Meysamie, A., Yi, S. K., Iwano, S., Bybel, B., et al. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4194-x · Cited by 109 · see citing works
Self-citationEffects 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
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
Sarikaya, İ., Sarıkaya, A., & Sharma, P. N. (2019) · Journal of Nuclear Medicine Technology · doi:10.2967/jnmt.119.226969 · Cited by 45 · see citing works
FDG-PET/CT imaging findings of hepatic tumors and tumor-like lesions based on molecular background
Ozaki, K., Harada, K., Terayama, N., Kosaka, N., Kimura, H., & Gabata, T. (2020) · Japanese Journal of Radiology · doi:10.1007/s11604-020-00961-1 · Cited by 44 · see citing works
Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor
Zwezerijnen, G., Eertink, J. J., Ferrández, M. C., Wiegers, S., Burggraaff, C., Lugtenburg, P., Heymans, M., de Vet, H. D., Zijlstra, J., & Boellaard, R. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05977-5 · Cited by 35 · see citing works
Hackett, E. P., Pinho, M. C., Harrison, C. E., Reed, G. D., Liticker, J., Raza, J. A., Hall, R. G., Malloy, C. R., Barshikar, S., Madden, C. J., et al. (2020) · iScience · doi:10.1016/j.isci.2020.101885 · Cited by 33 · see citing works
Soltani, S., Dolatshahi, M., Soltani, S., Khazaei, K., Rahmani, M., & Raji, C. A. (2025) · Human Brain Mapping · doi:10.1002/hbm.70180 · Cited by 30 · see citing works
Boursier, C., Duval, X., Mahida, B., Hoen, B., Goehringer, F., Selton‐Suty, C., Chevalier, E., Roch, V., Lamiral, Z., Bourdon, A., et al. (2020) · Journal of Nuclear Cardiology · doi:10.1007/s12350-020-02050-2 · Cited by 29 · see citing works
Choi, Y., Kang, S., Ko, S.-Y., Lee, S., Kim, J. Y., Lee, H., Song, J. E., Kim, D., Kim, E., Kim, C. H., et al. (2018) · Molecular Brain · doi:10.1186/s13041-018-0415-2 · Cited by 25 · 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-citationPrando, S., Carneiro, C. D. G., Otsuki, D. A., & Sapienza, M. T. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14252 · Cited by 22 · see citing works
Lamar, Z. S., Dothard, A., Kennedy, L. D., Isom, S. P., Robinson, M., Vaidya, R., Hurd, D. D., McClain, D. A., & Lesser, G. J. (2017) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2017.1410889 · Cited by 20 · see citing works
Palix, C., Felisatti, F., Gonneaud, J., Kuhn, E., Mézenge, F., Landeau, B., Chocat, A., Quillard, A., Egret, S., Delarue, M., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.06.004 · Cited by 18 · see citing works
Zhang, H. J., Mitchell, S. J., Fang, Y., Tsai, H., Piao, L. H., Ousta, A., Leoni, L., Chen, C.-T., & Sharp, W. W. (2020) · Neurocritical Care · doi:10.1007/s12028-020-00984-6 · Cited by 17 · see citing works
Effect of various blood glucose levels on regional FDG uptake in the brain.
Sarikaya, İ., Albatineh, A. N., & Sarikayaa, A. (2020) · Europe PMC (PubMed Central) · doi:10.22038/aojnmb.2019.14418 · Cited by 15 · see citing works
Viglianti, B. L., Wale, D. J., Ma, T., Johnson, T. D., Bohnen, N. I., Wong, K. K., Ky, C., Frey, K. A., Townsend, D. M., Rubello, D., et al. (2019) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2019.108628 · Cited by 11 · see citing works
Self-citationRecent progress in functional peptides designed for tumor-targeted imaging and therapy
Wang, X., Wang, Y., Song, Z., Hu, X., Wei, J.-P., Zhang, J., & Wang, H. (2021) · Journal of Materials Chemistry C · doi:10.1039/d0tc05405d · Cited by 10 · 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
Kaiser, A., Davenport, M. S., Frey, K. A., Greenspan, B. S., & Brown, R. K. J. (2018) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2018.09.006 · Cited by 9 · see citing works
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Bennett, O., Ramsay, S. C., Malacova, E., Bourgeat, P., Goodman, S. J., Dunn, C. J., Robinson, B. M., Lee, K., & Pattison, D. A. (2022) · European Journal of Hybrid Imaging · doi:10.1186/s41824-022-00150-5 · Cited by 9 · see citing works
Rosica, D., Cheng, S., Hudson, M., Sakellis, C. G., den Abbeele, A. D. V., Kim, C. K., & Jacene, H. A. (2018) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000829 · Cited by 8 · see citing works
Measurement of brain glucose metabolism in obesity and diabetes
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Predictors 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
Diabetes Mellitus–Related Fractional Glucose Uptake in Men and Women Imaged With 18F-FDG PET-CT
Waqas, K., van Haard, P. M. M., Postema, J. W. A., & Schweitzer, D. H. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2019-00001 · Cited by 7 · see citing works
Galvez, T., Berkane, I., Thézénas, S., Éberlé, M., Flori, N., Guillemard, S., Ilonca, A.-D., Santoro, L., Kotzki, P., Senesse, P., et al. (2023) · Nutrients · doi:10.3390/nu15133042 · Cited by 4 · see citing works
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Bang, J.-I., Moon, C. M., Kim, H. O., Kang, S. Y., Yoon, H., & Kim, B. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-74443-9 · 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
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Yao, Y., Cheng, J., Su, M., & Ou, X. (2020) · Molecular Imaging and Biology · doi:10.1007/s11307-020-01486-9 · Cited by 5 · see citing works
Otomi, Y., Otsuka, H., Shono, N., Onishi, H., Mitsuhashi, R., Matsuzaki, S., Takaoka, Y., Enomoto, H., Sakamoto, Y., Sasahara, M., et al. (2021) · The Journal of Medical Investigation · doi:10.2152/jmi.68.181 · Cited by 4 · see citing works
Liang, 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
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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
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Elvig, S. K., McGinn, M. A., Li, X., Vendruscolo, J. C. M., Gomez, J. L., Pawlosky, R. J., Mackowiak, B., Gonzalez, L., King, M., Michaelides, M., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02383-5 · Cited by 2 · see citing works
Diagnostic accuracy of 18F-FDG-PET in abdominal sepsis in rats
Azevedo, Í. M., Filho, R. M., Rocha, K. B. F., Oliveira, C. N., & Medeiros, A. C. (2020) · Acta Cirúrgica Brasileira · doi:10.1590/s0102-865020200050000005 · Cited by 2 · see citing works
Morland, D., Kanagaratnam, L., Hubelé, F., Toussaint, E., Choquet, S., Kas, A., Caquot, P.-A., Haïoun, C., Itti, E., Leprêtre, S., et al. (2024) · EJNMMI Research · doi:10.1186/s13550-024-01111-8 · Cited by 2 · see citing works
Krizan, I. M., Sai, K. K. S., Damuka, N., Macauley, S. L., Thurman, B. M., Long, M., & Kavanagh, K. (2024) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2024.129906 · Cited by 2 · see citing works
Choi, Y., Song, J. E., Kim, E., Kim, C. H., Lee, J. E., & Song, H. (2023) · Yonsei Medical Journal · doi:10.3349/ymj.2022.0554 · Cited by 2 · see citing works
Prando, S., Ono, C. R., Robilotta, C. C., & Sapienza, M. T. (2018) · Research on Biomedical Engineering · doi:10.1590/2446-4740.04517 · Cited by 2 · see citing works
Li, J., Luo, Y., Liu, P., Zhang, J., Duan, C., Xiong, H., Li, M., Zhang, B., Li, L., Gong, L., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70613 · Cited by 1 · see citing works
Fanni, G., Kvernby, S., Radhi, S. H., Mathioudaki, A., Sundbom, M., Haller, S., Roman, E., Wikström, J., Lubberink, M., & Eriksson, J. W. (2024) · Endocrine · doi:10.1007/s12020-024-04127-1 · 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
Regional differences in the reduction of cerebral FDG uptake induced by the ketogenic dietPreprint
Bennett, O., Ramsay, S. C., Malacova, E., Bourgeat, P., Goodman, S. J., Dunn, C. J., Robinson, B. M., Lee, K., & Pattison, D. A. (2022) · Research Square · doi:10.21203/rs.3.rs-1931026/v1 · Cited by 1 · see citing works
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Tuzcu, Ş. A. (2019) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2019.539
Fukunaga, K., Nagatani, Y., Nakagawa, H., Nitta‐Seko, A., Nagata, T., Nishizono, M., Kobashi, K., Iguchi, H., Nitta, N., Hanaoka, J., et al. (2020) · doi:10.21203/rs.3.rs-19006/v1
Sohn, J.-Y., Chae, Y., Koo, Y., Yun, T., Lee, D., Park, J., Son, M., Choi, Y.-J., Ku, D., Kim, H., et al. (2022) · PubMed Central
Krizan, I. M., Sai, K. K. S., Damuka, N., Macauley, S. L., Thurman, B. M., Long, M., & Kavanagh, K. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4821607
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Bártulos, C. R., & Wiggermann, P. (2024) · Gastro-News · doi:10.1007/s15036-024-3786-5
Slart, R. H. J. A., Treglia, G., Abikhzer, G., Aghayev, A., Ahlman, M. A., Alberini, J., Besson, F. L., Bölek, E. Ç., Bley, T. A., Camellino, D., et al. (2026) · The EANM Journal · doi:10.1016/j.eanmj.2026.100243
- Authors
- 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.
- Affiliations
- University of Michigan (US)
- VA Ann Arbor Healthcare System (US)
- Medical University of South Carolina (US)
- Ospedale Santa Maria della Misericordia di Rovigo (IT)
- Corresponding author
- Viglianti, Benjamin L.
- Rubello, Domenico
- Venue
- Biomedicine & Pharmacotherapy
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 88
- Pages
- 1038-1045
- ISSN
- 0753-3322 (ISSN-L)
- PMC
- PMC5553544
- OpenAlex
- W2587668340
- Cited by
- 48
- References
- 23
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 6 · 2021: 2 · 2020: 9 · 2019: 4 · 2018: 9 · 2017: 1
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Biomedicine & Pharmacotherapy (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Siemens Medical Solutions USA
- National Institutes of Health (UL1TR002240)
- National Institute of General Medical Sciences (P20GM103542)
- National Center for Research Resources (P20RR024485)
- National Center for Advancing Translational Sciences
- 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
- hyperglycemia, blood glucose, 18F-FDG PET, PET image quality
- MeSH terms
- Basal Ganglia, Blood Glucose, Brain, Female, Humans, Hyperglycemia, Liver, Male, Middle Aged, Multivariate Analysis, Linear Models, Fluorodeoxyglucose F18, Positron-Emission Tomography
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