Abstract #2692

Discovering MRI Imaging Biomarkers Associated with Progression of Knee Pain Using Deep Learning for Survival Analysis

Jinhee Jenny Lee¹, Chul Young Chung², Felix Liu³, Sharmila Majumdar¹, and Valentina Pedoia¹

¹Department of Radiology and Biomedical Engineering, UCSF, San Francisco, CA, United States, ²Bay Imaging Consultants, Walnut Creek, CA, United States, ³Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States

Medical attention for knee osteoarthritis (OA) is currently focused on symptomatic pain management in clinical setting. Associating future knee OA pain development with baseline characteristics of knee OA cohort is important in understanding of disease prognosis and designing treatment strategies. We built a predictive model of knee OA pain-free survival time using baseline MRI and other image-independent clinical measurements.

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