Prediction of cardiac remodeling and myocardial fibrosis in athletes based on IVIM-DWI images
Yujiao Deng,
Min Tang,
Qian Liu,
Xinrong Fan,
Jian Shu,
Jing Chen,
Meining Chen,
Lu Yang
Affiliations
Yujiao Deng
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China; Department of Nuclear Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, 32#, West Second Section of First Ring Road, Chengdu, Sichuan 610000, China
Min Tang
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China
Qian Liu
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China
Xinrong Fan
Department of Cardiology, the Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China
Jian Shu
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China
Jing Chen
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China; Corresponding author
Meining Chen
MR Research Collaboration, Siemens Healthineers Ltd., Chengdu, China
Lu Yang
Department of Radiology, The Affiliated Hospital of Southwest Medical University, 25# Tai Ping Street, Luzhou, Sichuan 646000, China
Summary: Myocardial microcirculation in athletes and its relationship with cardiac remodeling (CR) and myocardial fibrosis (MF) are not fully understood. We prospectively enrolled 174 athletes and 54 healthy sedentary controls for intravoxel incoherent motion (IVIM) diffusion-weighted imaging of cardiac magnetic resonance imaging. Athletes exhibited significantly lower fast apparent diffusion coefficient (ADCfast) and perfusion fraction (f) in 16 myocardial segments and each blood supply area compared to controls (p < 0.05). Athletes with CR and/or MF had lower myocardial slow apparent diffusion coefficient (ADCslow) values than those without (p < 0.05). A gradient boosting machine (GBM) effectively predicted CR and/or MF based on these hypoperfusion parameters, with an area under the receiver operating characteristic curve of 0.947 in the training set and 0.841 in the test set. The GBM model, leveraging IVIM parameters, could predict the occurrence of CR and/or MF, offering a potential tool for monitoring and managing the athletes’ health.
