Researchradiomicsosteoarthritisx rayshap
X-Ray Radiomics Predicts Knee Osteoarthritis Pain Progression
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7.2
Researchers used FNIH Osteoarthritis Biomarkers Project x-ray data (follow-up 24–48 months) to build and validate nomogram models combining subchondral bone radiomics and clinical features to predict knee osteoarthritis (KOA) pain progression in 450 participants. Using LASSO-selected features and SHAP for interpretability, the nomograms achieved AUCs of 0.766 and 0.753, showed good calibration (mean absolute errors 0.012 and 0.008), and offered positive net benefit across thresholds.
Scoring Rationale
Solid predictive performance and clinical applicability, balanced by moderate novelty and need for external validation.
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