Detecting lumbar lesions in Tc-MDP SPECT by deep learning: Comparison with physicians.
Journal:
Medical physics
Published Date:
Jul 11, 2021
Abstract
PURPOSE: Tc-MDP single-photon emission computed tomography (SPECT) is an established tool for diagnosing lumbar stress, a common cause of low back pain (LBP) in pediatric patients. However, detection of small stress lesions is complicated by the low quality of SPECT, leading to significant interreader variability. The study objectives were to develop an approach based on a deep convolutional neural network (CNN) for detecting lumbar lesions in Tc-MDP scans and to compare its performance to that of physicians in a localization receiver operating characteristic (LROC) study.