ArticleFrontiers in medicine2026
Prognostic model for osteoarthritis combining imaging and clinical biomarkers.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Objective: This study aims to construct and validate a prognostic prediction model for knee osteoarthritis (OA) based on baseline characteristics, imaging manifestations and clinical indicators, in order to effectively assess the risk of adverse outcomes of individual patients, and to provide scientific basis for early identification of high-risk groups, formulation of precise intervention strategies and individualized management plans. Methods: This retrospective study enrolled 345 knee OA patients. The patients were randomly divided into a training set ( Results: No significant differences were observed in baseline characteristics between the training and validation sets ( Conclusion: The RF model, constructed based on imaging features and clinical indicators, effectively predicts the risk of sustained clinical deterioration in knee OA patients, with BMI, TBLV, and serum uCTX-II serving as key predictive markers.
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