TL;DR
DL analysis of lumbar radiographs, combined with transfer learning and metaheuristic optimization, may support BMD category classification as a complementary screening tool for osteoporosis screening and diagnosis.
The proposed hierarchical approach enhances the diagnostic utility of standard X-ray images by enabling more accurate classification of lumbar fracture types and may reduce reliance on advanced imaging and support faster and more informed clinical decision-making.
A potential screening method using low-cost foot radiographs to identify patients with low BMD, which may support earlier detection and referral for bone health evaluation is described.
Both HU and VBQ offer useful assessments of vertebral bone quality, but HU provides higher and more stable diagnostic accuracy, demonstrating higher sensitivity, specificity, and accuracy for detecting osteopenia and osteoporosis.
The WBOS showed the best exploratory discrimination but requires further validation against DXA or quantitative CT before clinical implementation, and Opportunistic multisite assessment of bone status using WBCT in polytrauma appears feasible.
Lumbar vertebral MRI signal alterations showed weak but statistically significant associations with DEXAderived BMD, suggesting that routinely acquired lumbar MRI may provide supplementary, opportunistic information on VBQ, although the modest strength of these correlations indicates that MRI signal cannot currently re...
A two-stage decomposition that separates systemic skeletal fragility from within-patient vertebral outlier status produces well-calibrated per-vertebra fracture-risk estimates from routine clinical lumbar spine CT and opportunistic abdominal CT.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
