Prediction of cardiac remodeling and myocardial fibrosis in athletes based on IVIM-DWI images

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 (ADC<sub>fast</sub>) and perfusion fraction (f) in 16 myocardial segments and each blood supply area compared to controls (<i>p</i> < 0.05). Athletes with CR and/or MF had lower myocardial slow apparent diffusion coefficient (ADC<sub>slow</sub>) values than those without (<i>p</i> < 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.

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Publication Details

Journal
iScience
Published
2024-12-11
DOI
https://doi.org/10.1016/j.isci.2024.111567
Primary Topic
Cardiovascular Effects of Exercise
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of cardiac remodeling and myocardial fibrosis in athletes based on IVIM-DWI images

Meining Chen, Jing Chen, Yang Lü, Jian Hong Shu et al.
iScience
Cardiovascular Effects of Exercise
article

Prediction of cardiac remodeling and myocardial fibrosis in athletes based on IVIM-DWI images

Meining Chen, Jing Chen, Yang Lü, Jian Hong Shu, Qian Liu, Xinrong Fan, Yujiao Deng, Min Tang
article en

Abstract

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 (ADC<sub>fast</sub>) and perfusion fraction (f) in 16 myocardial segments and each blood supply area compared to controls (<i>p</i> < 0.05). Athletes with CR and/or MF had lower myocardial slow apparent diffusion coefficient (ADC<sub>slow</sub>) values than those without (<i>p</i> < 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.

iScienceVol. 28(1)
University of Electronic Science and Technology of China (CN), Sichuan University (CN), Affiliated Hospital of Southwest Medical University (CN), West China Second University Hospital of Sichuan University (CN), Siemens Healthcare (United States) (US)
Southwest Medical University
Good health and well-being
Openalex Percentile: Top 58%
Cardiovascular Effects of Exercise
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