The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index; 8 of the 20 sources its claims cite were checked for support.
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
Open accessAbstract
Objectives: To compare spinal bone measures derived from automatic and manual assessment in routine CT with dual energy X-ray absorptiometry (DXA) in their association with prevalent osteoporotic vertebral fractures using our fully automated framework (https://anduin.bonescreen.de) to assess various bone measures in clinical CT. Methods: We included 192 patients (141 women, 51 men; age 70.2 ± 9.7 years) who had lumbar DXA and CT available (within 1 year). Automatic assessment of spinal bone measures in CT included segmentation of vertebrae using a convolutional neural network (CNN), reduction to the vertebral body, and extraction of bone mineral content (BMC), trabecular and integral volumetric bone mineral density (vBMD), and CT-based areal BMD (aBMD) using asynchronous calibration. Moreover, trabecular bone was manually sampled (manual vBMD). Results: A total of 148 patients (77%) had vertebral fractures and significantly lower values in all bone measures compared to patients without fractures (p ≤ 0.001). Except for BMC, all CT-based measures performed significantly better as predictors for vertebral fractures compared to DXA (e.g., AUC = 0.885 for trabecular vBMD and AUC = 0.86 for integral vBMD vs. AUC = 0.668 for DXA aBMD, respectively; both p < 0.001). Age- and sex-adjusted associations with fracture status were strongest for manual vBMD (OR = 7.3, [95%] CI 3.8–14.3) followed by automatically assessed trabecular vBMD (OR = 6.9, CI 3.5–13.4) and integral vBMD (OR = 4.3, CI 2.5–7.6). Diagnostic cutoffs of integral vBMD for osteoporosis (< 160 mg/cm 3) or low bone mass (160 ≤ BMD < 190 mg/cm 3) had sensitivity (84%/41%) and specificity (78%/95%) similar to trabecular vBMD. Conclusions: Fully automatic osteoporosis screening in routine CT of the spine is feasible. CT-based measures can better identify individuals with reduced bone mass who suffered from vertebral fractures than DXA. Key Points: • Opportunistic osteoporosis screening of spinal bone measures derived from clinical routine CT is feasible in a fully automatic fashion using a deep learning-driven framework (https://anduin.bonescreen.de). • Manually sampled volumetric BMD (vBMD) and automatically assessed trabecular and integral vBMD were the best predictors for prevalent vertebral fractures. • Except for bone mineral content, all CT-based bone measures performed significantly better than DXA-based measures. • We introduce diagnostic thresholds of integral vBMD for osteoporosis (< 160 mg/cm3) and low bone mass (160 ≤ BMD < 190 mg/cm3) with almost equal sensitivity and specificity compared to conventional thresholds of quantitative CT as proposed by the American College of Radiology (osteoporosis < 80 mg/cm3).
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This retrospective study compared fully automatic CT-derived spinal bone measures with DXA for identifying prevalent osteoporotic vertebral fractures in 192 patients. CT-based volumetric measures, especially trabecular and integral vBMD, predicted prevalent fractures better than DXA, and the authors propose integral vBMD thresholds for osteoporosis and low bone mass.
Key findings
- Among 192 patients (141 women, 51 men; mean age 70.2 ± 9.7 years), 148 (77%) had at least one prevalent vertebral fracture; fractured patients were older (72.0 ± 9.3 vs. 64.3 ± 8.6 years, p < 0.001) and had significantly lower values in all bone measures (p ≤ 0.001).
- Except for BMC, all CT-based measures predicted prevalent vertebral fractures significantly better than DXA aBMD: AUC = 0.885 for trabecular vBMD, 0.86 for integral vBMD, and 0.894 for manual vBMD vs. 0.668 for DXA aBMD (p < 0.001 for vBMD comparisons); CT-based BMC was not significantly different from DXA aBMD or T-score.
- Age- and sex-adjusted associations with fracture status were strongest for manual vBMD (OR = 7.3, 95% CI 3.8–14.3), followed by automatically assessed trabecular vBMD (OR = 6.9, CI 3.5–13.4) and integral vBMD (OR = 4.3, CI 2.5–7.6); DXA T-score and aBMD each had OR = 1.9 (CI 1.3–2.8).
- Proposed integral vBMD thresholds were osteoporosis < 160 mg/cm³ and low bone mass 160 ≤ BMD < 190 mg/cm³, with sensitivity/specificity of 84%/78% and 41%/95%, respectively, similar to trabecular vBMD (86%/78% and 41%/98%).
Methods
- Monocentric retrospective study: 360 patients were identified, exclusions left 192 with lumbar DXA and CT available within 1 year; prevalent vertebral fractures were classified using the Genant semiquantitative technique (grade ≥ 1).
- CT bone measures used a fully automatic framework: CNN-based vertebral segmentation, reduction to vertebral bodies, asynchronous HU-to-BMD calibration with contrast correction, and extraction of integral vBMD, trabecular vBMD (eroded by 5 mm), BMC, and CT-based aBMD; manual trabecular vBMD was also sampled.
- Statistical analysis used t tests and chi-squared tests for group comparisons, logistic regression for odds ratios per 1 SD change (unadjusted and age/sex-adjusted), and ROC AUC analysis with DeLong’s test for correlated ROC curves; significance was p < 0.05.
Limitations
- Stated: retrospective selection bias toward elderly, mainly neurosurgical and oncological patients who already had both CT and DXA within 1 year, meaning osteoporosis was already suspected; the study assessed prevalent, not incident, vertebral fractures, so the new integral vBMD thresholds require validation in follow-up fracture-risk studies.
- Evident: the single-center design and high fracture prevalence (77%) may limit generalizability, and the automatic framework and proposed thresholds were not externally validated in this paper.
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Claims the paper makes
8 of 20 cited sources checked · 3 supported · 1 flagged · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“We recently introduced a framework for fully automatic segmentation of vertebrae in any CT dataset within several seconds [16, 17].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Partly supportedcites [16] Löffler MT, Sekuboyina A, Jacob A et al (2020) A vertebral segmentation dataset with fracture grading. Radiol Artif Intell 2:e190138. https://doi.org/10.1148/ryai.2020190138 sourceExperimental — accuracy not yet measured
The Materials and Methods section (Vertebral Segmentation; page unavailable) describes a framework that predicts vertebral segmentations from CT images. It does not establish that the framework works on any CT dataset or completes segmentation within several seconds, and the dataset’s final masks were manually refined. (LLM, conf=0.87)
- Not matchedcites [17] Sekuboyina A, Bayat A, Husseini ME et al (2020) VerSe: a vertebrae labelling and segmentation benchmark. arXiv:200109193 [cs, eess]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“AUC analysis showed that all bone measures were statistically significant predictors of prevalent vertebral fractures (Table 3, Fig. 4).”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Only CT-based BMC showed no significant difference in discriminatory power to DXA-based aBMD or T-score (AUC = 0.735 vs. 0.668 or 0.67, respectively).”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Bland-Altman plots showed a bias of − 0.054 and − 0.015 g/cm2 at L2 and L3, respectively, for CT-based aBMD (Supplementary Fig. 1). Thus, CT-based assessment seemed to slightly underestimate aBMD compared to DXA.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Opportunistic CT-based measurements of bone mass
Strength:hedged· not yet calibratedn = 29Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Except for BMC, all CT-based bone measures showed significantly better discriminatory power for the prevalence of vertebral fractures compared to DXA-based measures.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Fractured patients (107 women, 41 men; Fig. 2) were significantly older (72.0 ± 9.3 years vs. 64.3 ± 8.6 years, p < 0.001)”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Looking 25 years back in time, the insight that trabecular vBMD (QCT; AUC = 0.81) offers better discriminatory power for the prevalence of vertebral fractures than aBMD (DXA; AUC = 0.65) appears familiar [31]. Here, we were able to reproduce these results on modern scanner hardware.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
What the sources say
- Not checked — no full text of the sourcecites [31] Yu W, Glüer CC, Grampp S et al (1995) Spinal bone mineral assessment in postmenopausal women: a comparison between dual X-ray absorptiometry and quantitative computed tomography. Osteoporos Int 5:433–439 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Prevalent vertebral fractures were significantly associated with all DXA- and CT-based bone measures irrespective of adjustment for age and sex (Table 2).”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This yielded a final study group of 192 patients, with 148 patients (77%) showing at least one prevalent osteoporotic vertebral fracture.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Study population
Strength:plain· not yet calibratedn = 148Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Diagnostic cutoffs of integral vBMD for osteoporosis (< 160 mg/cm3) or low bone mass (160 ≤ BMD < 190 mg/cm3) had sensitivity (84%/41%) and specificity (78%/95%) similar to trabecular vBMD.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Abstract > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 12
- It may state two separate claims as one. 15
- The quote only partly states this claim. 1
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“Previously published HU-to-BMD conversion equations were used for all CT scanners in this study [22].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Opportunistic CT-based measurements of bone mass
What the sources say
- Disputedcites [22] Löffler MT, Jacob A, Valentinitsch A et al (2019) Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA. Eur Radiol. https://doi.org/10.1007/s00330-019-06018-w sourceExperimental — accuracy not yet measured
The Methods (Opportunistic QCT) state that HU-to-BMD conversion equations were calculated by linear regression using phantom measurements for the scanners in this study. Table 4 (Results) lists the resulting scanner-specific equations. The paper does not describe using previously published conversion equations for all scanners; the previously investigated values mentioned in Methods are contrast-enhancement correction offsets. (LLM, conf=0.92)
Checked by a reasoning model — may be wrong.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Disputed
Every source the paper cites for this claim was checked and supports it.
In the paper
“First, vertebrae were automatically segmented in CT scans using a framework of CNNs that identifies the spine, labels each vertebral body, and creates segmentation masks [16].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Opportunistic CT-based measurements of bone mass
What the sources say
- Supportedcites [16] Löffler MT, Sekuboyina A, Jacob A et al (2020) A vertebral segmentation dataset with fracture grading. Radiol Artif Intell 2:e190138. https://doi.org/10.1148/ryai.2020190138 source
The Materials and Methods section (Vertebral Segmentation) describes a CNN framework that detects the spine, labels vertebrae, and segments vertebral patches that are fused into a labeled mask. The resulting masks were subsequently refined manually; this does not negate the described automatic segmentation step. (LLM, conf=0.92)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Besides hip fractures, vertebral fractures are the most common and most consequential osteoporotic fractures [4].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Partly supportedcites [4] Ensrud KE (2013) Epidemiology of fracture risk with advancing age. J Gerontol A Biol Sci Med Sci 68:1236–1242. https://doi.org/10.1093/gerona/glt092 sourceExperimental — accuracy not yet measured
The Vertebral Fractures section calls vertebral fractures the most common manifestation of osteoporosis and describes associations with pain, disability, mortality, and subsequent fractures. It does not establish that they are the most consequential after hip fractures; it reports that clinical vertebral fractures accounted for only 6% of fracture-related costs in the United States in 2005. (LLM, conf=0.84)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These differences in the study population—paired with the focus on prevalent instead of incident fractures and better sensitivity to detect fractures by using ≤ 1-mm instead of 2.5-mm axial slices [26]—could lead to the relatively higher ORs compared to Allaire et al (OR = 2.7 vs. 1.6 for CT-based aBMD, OR = 4.8 vs. 2.8 for integral vBMD, and OR = 6.8 vs. 2.1 for trabecular vBMD) [27]; though, CT–”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
What the sources say
- Not checked — no full text of the sourcecites [26] Bauer JS, Müller D, Ambekar A et al (2006) Detection of osteoporotic vertebral fractures using multidetector CT. Osteoporos Int 17:608–615. https://doi.org/10.1007/s00198-005-0023-8 source
- Partly supportedcites [27] Allaire BT, Lu D, Johannesdottir F et al (2019) Prediction of incident vertebral fracture using CT-based finite element analysis. Osteoporos Int 30:323–331. https://doi.org/10.1007/s00198-018-4716-1 sourceExperimental — accuracy not yet measured
The Methods and Results identify Allaire et al.’s study as examining incident vertebral fractures, and the Results report an OR of 1.6 for CT-based aBMD. Our copy says integral and trabecular vBMD were associated with incident fracture, but the passages do not give the specific ORs of 2.8 and 2.1 attributed to Allaire et al. The proposed reasons for the higher ORs are the citing authors’ interpretation; the slice-thickness comparison is attached to a different citation. (LLM, conf=0.82)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Second, there is significant variability in the access to DXA services and many fall short of international quality standards [14].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Supportedcites [14] Clynes MA, Westbury LD, Dennison EM et al (2020) Bone densitometry worldwide: a global survey by the ISCD and IOF. Osteoporos Int 31:1779–1786. https://doi.org/10.1007/s00198-020-05435-8 source
The Abstract conclusion says access to DXA services varies significantly and many centres fall short of IOF-ISCD Osteoporosis Essentials standards. The survey concerns established Fracture Liaison Services worldwide. (LLM, conf=0.94)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Bias of BMD values due to intravenous injection of contrast medium was corrected for using linear correction equations for arterial and portal/venous contrast phases [23].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Opportunistic CT-based measurements of bone mass
What the sources say
- Supportedcites [23] Kaesmacher J, Liebl H, Baum T, Kirschke JS (2017) Bone mineral density estimations from routine multidetector computed tomography: a comparative study of contrast and calibration effects. J Comput Assist Tomogr 41:217–223. https://doi.org/10.1097/RCT.0000000000000518 source
The Methods describe BMD measurements in arterial and portal-venous contrast phases and linear fitting for each phase. The Discussion refers to additional correction equations defined in the study, and the Conclusions state that adjustment with simple linear regression can even out contrast-related BMD bias. Page numbers are not available in our copy. (LLM, conf=0.91)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Compared to a study of incident vertebral fractures in the Osteoporotic Fractures in Men (MrOS) Study cohort of elderly men, the AUCs we report seem considerably higher for trabecular vBMD (AUC = 0.885 vs. 0.79), but lower for DXA-based aBMD (AUC = 0.668 vs. 0.72) [28].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
What the sources say
- Partly supportedcites [28] Chalhoub D, Orwoll ES, Cawthon PM et al (2016) Areal and volumetric bone mineral density and risk of multiple types of fracture in older men. Bone 92:100–106. https://doi.org/10.1016/j.bone.2016.08.014 sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) identifies this as a MrOS study and reports that trabecular spine vBMD predicted spine fractures better than DXA-based spine aBMD. The cited paper passages do not give the specific AUCs of 0.79 and 0.72, so those numerical comparisons are not verified by our copy. (LLM, conf=0.78)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Age- and sex-adjusted associations with fracture status were strongest for manual vBMD (OR = 7.3, [95%] CI 3.8–14.3) followed by automatically assessed trabecular vBMD (OR = 6.9, CI 3.5–13.4) and integral vBMD (OR = 4.3, CI 2.5–7.6).”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Abstract > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All automatically assessed CT-based bone measures had a highly significant association with the prevalence of osteoporotic vertebral fractures with no significant differences between automatic and manual measurements.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and showed significantly lower values in all bone measures (DXA-based aBMD, CT-based aBMD, manual vBMD, trabecular vBMD, integral vBMD, and BMC, p < 0.001 each; DXA-based T-score, p = 0.001) compared to patients without fractures”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We included 192 patients (141 women, 51 men; age 70.2 ± 9.7 years) who had lumbar DXA and CT available (within 1 year).”
- Also stated in: § Results · plain
“Overall, 192 patients (141 women, 51 men) with a mean age of 70.2 ± 9.7 years were included in this study.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Abstract > Methods
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Also stated in: § Results · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, most CT-based measures performed significantly better than DXA, e.g., when comparing DXA-based aBMD with intergral, trabecual, or manual vBMD (AUC = 0.668 vs. 0.735, 0.860, or 0.885, respectively, p < 0.001 each; Table 3).”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one. The quote only partly states this claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We reported on elderly patients that all received DXA scans, thereby implicating that osteoporosis was already suspected; thus, the high prevalence of at least mild (Genant grade 1) osteoporotic vertebral fractures (77%) is not surprising.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Discussion
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Opportunistic quantitative evaluation of preexisting clinical routing CT entails neither additional costs nor radiation exposure [15].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Not checked — no full text of the sourcecites [15] Löffler MT, Sollmann N, Mei K et al (2020) X-Ray-based quantitative osteoporosis imaging at the spine. Osteoporos Int 31:233–250. https://doi.org/10.1007/s00198-019-05212-2 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“CT scans of the remaining 258 patients were screened for prevalent osteoporotic vertebral fractures using the semi-quantitative technique by Genant [18].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Study population
What the sources say
- Not checked — no full text of the sourcecites [18] Genant HK, Wu CY, van Kuijk C, Nevitt MC (1993) Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res 8:1137–1148. https://doi.org/10.1002/jbmr.5650080915 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The local institutional review board approved this monocentric retrospective study (ethics committee’s reference number 27/19S/SR) and waived written informed consent.”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Study population
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“To date, the standard screening method includes assessing clinical risk factors and measuring areal bone mineral density (aBMD) using dual-energy X-ray absorptiometry (DXA) [1].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Not checked — no full text of the sourcecites [1] NIH Consensus Development Panel on Osteoporosis Prevention, Diagnosis, and Therapy (2001) Osteoporosis prevention, diagnosis, and therapy. JAMA 285:785–795 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“For trabecular vBMD, we used the diagnostic thresholds for osteoporosis (BMD < 80 mg/cm3) and for low bone mass (80 ≤ BMD ≤ 120 mg/cm3) proposed by the American College of Radiology (ACR) [24].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Clinical thresholds for volumetric BMD measures
What the sources say
- Not checked yetcites [24] American College of Radiology (2018) ACR–SPR–SSR practice parameter for the performance of musculoskeletal quantitative computed tomography (QCT). American College of Radiology, Reston. Available via https://www.acr.org/-/media/ACR/Files/Practice-Parameters/QCT.pdf?la=en. Accessed 7 Nov 2018
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“First, less than half of women (44%) and even fewer men (21%) with osteoporotic fractures exhibited low aBMD in a large observational study [12]”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Not checked — no full text of the sourcecites [12] Schuit SCE, van der Klift M, Weel AEAM et al (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34:195–202 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Scans were performed by trained technologists and quality was assured through evaluation by experienced physicians following current recommendations [19].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Methods > Dual-energy X-ray absorptiometry
What the sources say
- Not checked — no full text of the sourcecites [19] Shepherd JA, Schousboe JT, Broy SB, Engelke K, Leslie WD (2015) Executive summary of the 2015 ISCD Position Development Conference on Advanced Measures From DXA and QCT: fracture prediction beyond BMD. J Clin Densitom 18:274–286. https://doi.org/10.1016/j.jocd.2015.06.013 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Yet, other methods of bone densitometry exhibit even more disadvantages: quantitative computed tomography (QCT) has limited availability, is more expensive, and is associated with a substantially higher radiation dose (> 100-fold) [15].”
§ Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA > Introduction
What the sources say
- Not checked — no full text of the sourcecites [15] Löffler MT, Sollmann N, Mei K et al (2020) X-Ray-based quantitative osteoporosis imaging at the spine. Osteoporos Int 31:233–250. https://doi.org/10.1007/s00198-019-05212-2 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The authors state this as an assumption.
CT-based aBMD has superior accuracy to DXA because of the 3-dimensional character of CT scans, despite being a monoenergetic technique.
“We chose this approach to take advantage of the 3-dimensional character of CT scans compared to DXA, thus postulating its superior accuracy notwithstanding the fact that it is a monoenergetic technique.”
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.
AUCs are assigned to the wrong CT measures
MinorThe results assign AUCs of 0.735, 0.860, and 0.885 to integral, trabecular, and manual vBMD, respectively. Table 3 instead reports 0.86, 0.885, and 0.894 for those measures; 0.735 belongs to BMC.
“when comparing DXA-based aBMD with intergral, trabecual, or manual vBMD (AUC = 0.668 vs. 0.735, 0.860, or 0.885, respectively, p < 0.001 each; Table 3).”
“| CT-Based BMC | 0.735 (0.653–0.818) | n.s. | n.s. | | Integral vBMD | 0.86 (0.801–0.92) | p < 0.001 | p < 0.001 | | Trabecular vBMD | 0.885 (0.833–0.938) | p < 0.001 | p < 0.001 | | Manual vBMD | 0.894 (0.841–0.947) | p < 0.001 | p = 0.003 |”
A T-score of −2.5 is classified as both low bone mass and osteoporosis
MinorThe methods define osteoporosis as T ≤ −2.5 SD, but the Fig. 2 caption calls a T-score of −2.5 SD low bone mass.
“DXA reported T-score of − 2.5 SD still in the range of low bone mass (not shown).”
“Osteoporosis was defined as T ≤ − 2.5 SD and low bone mass as − 2.5 < T ≤ − 1 SD [21].”
Citations
Cites
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MethodOsteoporosis Prevention, Diagnosis, and Therapy
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BackgroundVertebral fracture assessment using a semiquantitative technique
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“Vertebral fractures have dramatic consequences that include a reduced quality of life [6], a 2-fold increase in age-adjusted mortality risk [7], and a 3-fold increase in the risk of additional fractures compared to the normal population, respectively [8].”
BackgroundSchuit, S. C. E., van der Klift, M., Weel, A. E. A. M., de Laet, C. E. D. H., Burger, H., Seeman, E., Hofman, A., Uitterlinden, A. G., van Leeuwen, J. P. T. M., & Pols, H. A. P. (2004) · Bone · doi:10.1016/j.bone.2003.10.001 · Cited by 1,651 · cited 1×
“First, less than half of women (44%) and even fewer men (21%) with osteoporotic fractures exhibited low aBMD in a large observational study [12], emphasiz-”
BackgroundVertebral Fractures Predict Subsequent Fractures
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“Vertebral fractures have dramatic consequences that include a reduced quality of life [6], a 2-fold increase in age-adjusted mortality risk [7], and a 3-fold increase in the risk of additional fractures compared to the normal population, respectively [8].”
BackgroundWorldwide prevalence and incidence of osteoporotic vertebral fractures
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“Their prevalence among Europeans older than 50 years ranges between 18 and 26% [5].”
Background
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Bone-protective effects of deer-hide gelatin in cyclophosphamide-induced osteoporosis rats
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Opportunistic Osteoporosis Screening at the Spine – Clinical Applications and Diagnostic Value
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“In 2021, Löffler et al. demonstrated automated opportunistic osteoporosis screening using routine CT examinations and reported improved identification of patients with prevalent vertebral fractures [27].”
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XAI-Enhanced CNN Framework for Osteoporosis Screening Using Simple X-Ray Radiograph
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“This diagnostic gap has led to the concept of opportunistic screening, which is the use of medical images already collected for other diagnostic indications for assessing bone health without adding to the dose to the patient and at no extra expense [6].”
Heilmann, L. F., Schreiber, F., Schmitz, S. I., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10167597/v1
Metadata
- Authors
- Löffler, M. T., Jacob, A., Scharr, A., Sollmann, N., Burian, E., El Husseini, M., Sekuboyina, A., Tetteh, G., Zimmer, C., Gempt, J., Baum, T., & Kirschke, J. S.
- Affiliations
- University of Freiburg (DE)
- TUM Klinikum (DE)
- Technical University of Munich (DE)
- Corresponding author
- Löffler, Maximilian T.
- ORCID
- Venue
- European Radiology
- Published
- 2021-01-28
- Volume
- 31
- Issue
- 8
- Pages
- 6069-6077
- ISSN
- 0938-7994 (ISSN-L)
- 1432-1084
- PMC
- PMC8270840
- OpenAlex
- W3121936649
- Semantic Scholar
- b602a08ba27601fdcc1b4a1bbf3d057825bf73ee
- Cited by
- 120
- References
- 42
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 20 · 2023: 32 · 2022: 20 · 2021: 5
- FWCI
- 16.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- European Radiology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) (submittedVersion, cc-by)
- Universität Ulm, Kommunikations- und Informationszentrum (kiz) (cc-by)
- Funders
- European Research Council (637164)
- Deutsche Forschungsgemeinschaft (432290010)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Health Sciences › Medicine › Surgery › Scoliosis diagnosis and treatment
- Keywords
- osteoporosis screening, vertebral fractures, dual-energy X-ray absorptiometry, volumetric bone mineral density, trabecular bone, bone mineral content, vertebral segmentation, convolutional neural networks, osteopenia, fracture prediction, low-dose CT, diagnostic accuracy
- MeSH terms
- Aged, Female, Humans, Lumbar Vertebrae, Male, Middle Aged, Osteoporosis, Tomography, X-Ray Computed, Absorptiometry, Photon, Bone Density, Spinal Fractures
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