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基于体素内不相干运动扩散加权成像(IVIM-DWI)图像预测运动员的心脏重塑和心肌纤维化

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

作者信息

Deng Yujiao, Tang Min, Liu Qian, Fan Xinrong, Shu Jian, Chen Jing, Chen Meining, Yang Lu

机构信息

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.

出版信息

iScience. 2024 Dec 11;28(1):111567. doi: 10.1016/j.isci.2024.111567. eCollection 2025 Jan 17.

DOI:10.1016/j.isci.2024.111567
PMID:39829680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11742616/
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) and perfusion fraction (f) in 16 myocardial segments and each blood supply area compared to controls ( < 0.05). Athletes with CR and/or MF had lower myocardial slow apparent diffusion coefficient (ADC) values than those without ( < 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.

摘要

运动员的心肌微循环及其与心脏重塑(CR)和心肌纤维化(MF)的关系尚未完全明确。我们前瞻性地招募了174名运动员和54名健康久坐对照者,进行心脏磁共振成像的体素内不相干运动(IVIM)扩散加权成像。与对照组相比,运动员在16个心肌节段和每个供血区域的快速表观扩散系数(ADC)和灌注分数(f)显著更低(<0.05)。患有CR和/或MF的运动员的心肌慢表观扩散系数(ADC)值低于未患CR和/或MF的运动员(<0.05)。基于这些灌注不足参数,梯度提升机(GBM)有效地预测了CR和/或MF,在训练集中受试者工作特征曲线下面积为0.947,在测试集中为0.841。利用IVIM参数的GBM模型可以预测CR和/或MF的发生,为监测和管理运动员的健康提供了一种潜在工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/622cdda5a042/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/7ee29b308094/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/959de5444b28/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/af107cd48085/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/f4a6dad3db3a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/622cdda5a042/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/7ee29b308094/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/959de5444b28/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/af107cd48085/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/f4a6dad3db3a/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c53a/11742616/622cdda5a042/fx2.jpg

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