Cardiac Magnetic Resonance Imaging in Appraising Myocardial Strain and Biomechanics: A Current Overview.
Alexandru ZlibutCosmin CojocaruSebastian OnciulLucia Agoston-ColdeaPublished in: Diagnostics (Basel, Switzerland) (2023)
Subclinical alterations in myocardial structure and function occur early during the natural disease course. In contrast, clinically overt signs and symptoms occur during late phases, being associated with worse outcomes. Identification of such subclinical changes is critical for timely diagnosis and accurate management. Hence, implementing cost-effective imaging techniques with accuracy and reproducibility may improve long-term prognosis. A growing body of evidence supports using cardiac magnetic resonance (CMR) to quantify deformation parameters. Tissue-tagging (TT-CMR) and feature-tracking CMR (FT-CMR) can measure longitudinal, circumferential, and radial strains and recent research emphasize their diagnostic and prognostic roles in ischemic heart disease and primary myocardial illnesses. Additionally, these methods can accurately determine LV wringing and functional dynamic geometry parameters, such as LV torsion, twist/untwist, LV sphericity index, and long-axis strain, and several studies have proved their utility in prognostic prediction in various cardiovascular patients. More recently, few yet important studies have suggested the superiority of fast strain-encoded imaging CMR-derived myocardial strain in terms of accuracy and significantly reduced acquisition time, however, more studies need to be carried out to establish its clinical impact. Herein, the current review aims to provide an overview of currently available data regarding the role of CMR in evaluating myocardial strain and biomechanics.
Keyphrases
- left ventricular
- magnetic resonance
- high resolution
- end stage renal disease
- case control
- heart failure
- ejection fraction
- machine learning
- escherichia coli
- chronic kidney disease
- epithelial mesenchymal transition
- adipose tissue
- mass spectrometry
- photodynamic therapy
- peritoneal dialysis
- metabolic syndrome
- fluorescence imaging
- big data
- sleep quality
- patient reported outcomes
- ultrasound guided
- patient reported