ArticleJournal of endocrinological investigation2025
A CT-based radiomic model for predicting vertebral fractures in older patients with type 2 diabetes mellitus: A longitudinal study.
Article in Journal of endocrinological investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- CT-based radiomics nomogram of vertebral bodies and paravertebral muscles for differential diagnosis of type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
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7 authors.
Funding
Abstract
purposeFractures are significant complications linked to type 2 diabetes mellitus (T2DM). In this study, we investigated the role of a computed tomography (CT)-based bone radiomic model for predicting vertebral fractures (VFs) in older patients with T2DM.
methodsA cohort of 1486 T2DM patients over the age of 50 years who were free from VFs from 2019 to 2021 were included and subsequently followed up until 2024. A total of 135 new cases of VFs were identified. A control group of 270 individuals without VFs during the follow-up was selected. Radiomic features were gathered from the main domains of the CT scans.
resultsRadiomics score (Radscore) (adjusted risk ratio (aHR) = 12.04; 95% confidence interval (CI): 5.88–24.64) was independently associated with VFs in T2DM patients. The radiomic model had an acceptable performance in predicting VF risk (area under the curve = 0.752 (95% CI: 0.712–0.792) for 2-year risk, 0.765 (95% CI: 0.714–0.816) for 3-year risk, and 0.811 (95% CI: 0.727–0.894) for 4-year risk). A combined model of the Radscore and bone CT attenuation demonstrated a greater AUC (AUC = 0.795 (95% CI: 0.747–0.843) for 2-year risk; 0.789 (95% CI: 0.730–0.837) for 3-year risk; and 0.842 (95% CI: 0.757–0.927) for 4-year risk) than models based on the Radscore or bone CT attenuation alone. The calibration and decision curves demonstrated the excellent predictive accuracy of the model.
conclusionsBone radiomics has great potential in predicting VFs in older patients with T2DM.
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