From the Journals
Can CT Radiomics Detect Osteoporosis?
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By
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February 24, 2026
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3 min
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Machine-learning radiomics model shows superior accuracy for osteoporosis detection.
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Study involved 166 patients with concurrent imaging studies.
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XGBoost achieved AUC of 0.91 in the test cohort.
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Sensitivity was 89%, specificity 82%.
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Models demonstrated higher predictive accuracy than traditional methods.
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Further multicenter validation is necessary for generalizability.
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Limitations include small sample size and single-center design.
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The model is intended as a screening tool, not a replacement for dual-energy X-ray absorptiometry.
