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Integrating Radiomics and Neural Networks for Knee Osteoarthritis Incidence Prediction | Synapse

May 16, 2024

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Integrating Radiomics and Neural Networks for Knee Osteoarthritis Incidence Prediction

SLShengfa LiSun Yat-sen University PCPeihua CaoZhujiang Hospital JLJia LiAnhui Medical University

Key Points

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Abstract

Accurately predicting knee osteoarthritis (KOA) is essential for early detection and personalized treatment. We aimed to develop and test a magnetic resonance imaging (MRI)-based joint space (JS) radiomic model (RM) to predict radiographic KOA incidence through neural networks by integrating meniscus and femorotibial cartilage radiomic features.

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Cite This Study

Li et al. (Thu,) studied this question.

synapsesocial.com/papers/68e69af9b6db643587620c4e https://doi.org/https://doi.org/10.1002/art.42915

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