Deep Learning to Detect Triangular Fibrocartilage Complex Injury in Wrist MRI: Retrospective Study with Internal and External Validation.

Objective: To use deep learning to predict the probability of triangular fibrocartilage complex (TFCC) injury in patients' MRI scans.

Methods: We retrospectively studied medical records over 11 years and 2 months (1 January 2009-29 February 2019), collecting 332 contrast-enhanced hand MRI scans showing TFCC injury (143 scans) or not (189 scans) from a general hospital. We employed two convolutional neural networks with the MRNet (Algorithm 1) and ResNet50 (Algorithm 2) framework for deep learning.