Multiparametric Cardiovascular Magnetic Resonance Approach in Diagnosing, Monitoring, and Prognostication of Myocarditis.
Publisher DOI
PubMed ID
35592889
Abstract
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 will describe the evidence surrounding different CMR methods and image postprocessing methods and highlight their values for clinical decision making, monitoring, and risk stratification across stages of this condition.
Date Issued
2022-07
Publication Type
Article
Subject(s)
Subjects
CMR ECV LGE LLC Lake Louise criteria T1 mapping T2 mapping artificial intelligence feature-tracking magnetic resonance myocardial strain myocarditis postprocessing radiomics texture analysis
Language(s)
en
Author(s)
Eichhorn, Christian | |
Greulich, Simon | |
Bucciarelli-Ducci, Chiara | |
Kwong, Raymond Y |
Journal
JACC. Cardiovascular imaging
Publisher
Elsevier
ISSN
1936-878X