Meeting Banner
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here