Keywords: Diagnosis/Prediction, Joints, meniscus; MRI signal; deep learning
Motivation: The pathogenesis of knee osteoarthritis is affected by many factors. Among them, meniscus of patients with different stages of disease in magnetic resonance imaging reveal different degrees of abnormal signals.
Goal(s): In this work, abnormal meniscus signals in 400 MRI images of 40 cases were quantified.
Approach: The quantitative indicators were evaluated according to the clinical manifestations of patients.
Results: Results showed that the average area ratios of abnormal meniscal signals were different between the case group and the control group, and the different degrees of abnormal signals could be used as biomarkers of knee osteoarthritis.
Impact: The average area ratios of abnormal signals of meniscus can be used as new biomarkers to provide some objective and accurate biomarkers for knee osteoarthritis.
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