Multiparametric Cardiovascular Magnetic Resonance Approach in Diagnosing, Monitoring, and Prognostication of Myocarditis

被引：88

作者：

Eichhorn, Christian ^{[1
]}

Greulich, Simon ^{[2
]}

Bucciarelli-Ducci, Chiara ^{[3
,4
]}

Sznitman, Raphael ^{[5
]}

Kwong, Raymond Y. ^{[6
]}

Graeni, Christoph ^{[1
]}

机构：

[1] Univ Bern, Bern Univ Hosp, Dept Cardiol, Inselspital, Bern, Switzerland

[2] Univ Tubingen, Dept Cardiol & Angiol, Tubingen, Germany

[3] Univ Hosp Bristol NHS Fdn Trust, Bristol Heart Inst, NIHR Bristol Biomed Res Ctr, Bristol, Avon, England

[4] Univ Bristol, Bristol, Avon, England

[5] Univ Bern, ARTORG Ctr, Artificial Intelligence Med Imaging, Bern, Switzerland

[6] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Noninvas Cardiovasc Imaging Sect,Cardiovasc Div, Boston, MA 02115 USA

来源：

JACC-CARDIOVASCULAR IMAGING | 2022年 / 15卷 / 07期

关键词：

artificial intelligence; cardiac magnetic resonance (CMR); ECV; feature-tracking; Lake Louise criteria (LLC); LGE; myocardial strain; myocarditis; postprocessing; radiomics; T1; mapping; T2; texture analysis; LATE GADOLINIUM ENHANCEMENT; AMERICAN-HEART-ASSOCIATION; RISK STRATIFYING PATIENTS; FEATURE-TRACKING; SUSPECTED MYOCARDITIS; ENDOMYOCARDIAL BIOPSY; INCREMENTAL VALUE; VENTRICULAR DYSFUNCTION; TISSUE CHARACTERIZATION; SCIENTIFIC STATEMENT;

D O I：

10.1016/j.jcmg.2021.11.017

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Myocarditis represents the entity of an inflamed myocardium and is a diagnostic challenge caused by its heterogeneous presentation. Contemporary noninvasive evaluation of patients with clinically suspected myocarditis using cardiac magnetic resonance (CMR) includes dimensions and function of the heart chambers, conventional T2-weighted imaging, late gadolinium enhancement, novel T1 and T2 mapping, and extracellular volume fraction calculation. CMR feature-tracking, texture analysis, and artificial intelligence emerge as potential modern techniques to further improve diagnosis and prognostication in this clinical setting. This review describes the evidence surrounding different CMR methods and image postprocessing methods and highlights their values for clinical decision making, monitoring, and risk stratification across stages of this condition. (C) 2022 by the American College of Cardiology Foundation.

引用

页码：1325 / 1338

页数：14

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