Can CT Radiomics Detect Osteoporosis?

Radiomics analysis of lumbar spine computed tomography is compared with established imaging-based measures of bone density.

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A machine-learning radiomics model from lumbar spine CT outperformed traditional methods in detecting osteoporosis.
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The study analyzed 166 patients, identifying 210 vertebrae classified as osteoporotic based on dual-energy X-ray absorptiometry.
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The XGBoost model achieved an area under the curve of 0.89 in training and 0.91 in testing, indicating high predictive performance.
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The radiomics model demonstrated greater net clinical benefit compared to vertebral bone quality scores and Hounsfield unit measurements.
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Limitations of the study included its retrospective design, modest sample size, and the need for external validation in multicenter cohorts.

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