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Original Article
- Mineral, Bone & Muscle
- End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography
- Jieun Oh, Boah Kim, Gyutaek Oh, Yul Hwangbo, Jong Chul Ye
- Endocrinol Metab. 2024;39(3):500-510. Published online May 9, 2024
- DOI: https://doi.org/10.3803/EnM.2023.1860
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- 1 Web of Science
- 4 Crossref
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Abstract
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Supplementary Material
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ePub - Background
Osteoporosis is the most common metabolic bone disease and can cause fragility fractures. Despite this, screening utilization rates for osteoporosis remain low among populations at risk. Automated bone mineral density (BMD) estimation using computed tomography (CT) can help bridge this gap and serve as an alternative screening method to dual-energy X-ray absorptiometry (DXA).
Methods
The feasibility of an opportunistic and population agnostic screening method for osteoporosis using abdominal CT scans without bone densitometry phantom-based calibration was investigated in this retrospective study. A total of 268 abdominal CT-DXA pairs and 99 abdominal CT studies without DXA scores were obtained from an oncology specialty clinic in the Republic of Korea. The center axial CT slices from the L1, L2, L3, and L4 lumbar vertebrae were annotated with the CT slice level and spine segmentation labels for each subject. Deep learning models were trained to localize the center axial slice from the CT scan of the torso, segment the vertebral bone, and estimate BMD for the top four lumbar vertebrae.
Results
Automated vertebra-level DXA measurements showed a mean absolute error (MAE) of 0.079, Pearson’s r of 0.852 (P<0.001), and R2 of 0.714. Subject-level predictions on the held-out test set had a MAE of 0.066, Pearson’s r of 0.907 (P<0.001), and R2 of 0.781.
Conclusion
CT scans collected during routine examinations without bone densitometry calibration can be used to generate DXA BMD predictions. -
Citations
Citations to this article as recorded by
- Phantomless estimation of bone mineral density on computed tomography: a scoping review
Aleena Waqar, Alberto Bazzocchi, Maria Pilar Aparisi Gómez
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.2025;[Epub] CrossRef - Diagnostic Accuracy of Axial and Sagittal CT Measurements for Osteoporosis: A Multi-Vertebra Evaluation
Sevde Nur EMİR, Ahmet Kürşat Soydan, Safiye Sanem DERELİ BULUT
Journal of Clinical Densitometry.2025; : 101596. CrossRef - Artificial intelligence in spine surgery
Cheng Zhang, Shanshan Liu, Jialin Shi, Xingyu Zhou, Peter Passias, Nanfang Xu, Weishi Li
Spine Research.2025;[Epub] CrossRef - Unaccounted Variations Can Surreptitiously Spoil the Validity of “Good” Biostatistical Models
Abhaya Indrayan
Journal of the Epidemiology Foundation of India.2024; 2(4): 205. CrossRef
- Phantomless estimation of bone mineral density on computed tomography: a scoping review
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