Automatic machine learning based on native T1 mapping can identify myocardial fibrosis in patients with hypertrophic cardiomyopathy

被引:0
作者
Wan-Lin Peng
Tian-Jing Zhang
Ke Shi
Hai-Xia Li
Ying Li
Sen He
Chen Li
Dong Xia
Chun-Chao Xia
Zhen-Lin Li
机构
[1] West China Hospital,Department of Radiology
[2] Sichuan University,Department of Electronic , Communication Engineering, School of Information and Communication Engineering
[3] Philips Healthcare,Department of Cardiology
[4] University of Electronic Science and Technology of China,Chengdu Library and Information Center
[5] West China Hospital,undefined
[6] Sichuan University,undefined
[7] Chinese Academy of Sciences,undefined
来源
European Radiology | 2022年 / 32卷
关键词
Machine learning; Cardiomyopathy, hypertrophy; Magnetic resonance imaging; Fibrosis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1044 / 1053
页数:9
相关论文
共 75 条
  • [1] Bogaert J(2014)MR imaging in hypertrophic cardiomyopathy: from magnet to bedside Radiology 273 329-348
  • [2] Olivotto I(2014)Hypertrophic cardiomyopathy: present and future, with translation into contemporary cardiovascular medicine J Am Coll Cardiol 64 83-99
  • [3] Maron BJ(2018)Late gadolinium enhancement in patients with hypertrophic cardiomyopathy and preserved systolic function J Am Coll Cardiol 72 857-870
  • [4] Ommen SR(2017)Radiologic-pathologic correlation of primary and secondary cardiomyopathies: MR imaging and histopathologic findings in hearts from autopsy and transplantation Radiographics 37 719-736
  • [5] Semsarian C(2018)Gadolinium retention: a research roadmap from the 2018 NIH/ACR/RSNA workshop on gadolinium chelates Radiology 289 517-534
  • [6] Spirito P(2019)Myocardial T1 and ECV measurement: underlying concepts and technical considerations JACC Cardiovasc Imaging 12 2332-2344
  • [7] Olivotto I(2013)Myocardial T1 and T2 mapping at 3 T: reference values, influencing factors and implications J Cardiovasc Magn Reson 15 53-326
  • [8] Maron MS(2019)Native T1 and extracellular volume measurements by cardiac MRI in healthy adults: a meta-analysis Radiology 290 317-1954
  • [9] Mentias A(2019)Machine learning in cardiovascular magnetic resonance: basic concepts and applications J Cardiovasc Magn Reson 21 61-919
  • [10] Raeisi-Giglou P(2019)Radiomic analysis of myocardial native T1 imaging discriminates between hypertensive heart disease and hypertrophic cardiomyopathy JACC Cardiovasc Imaging 12 1946-1721