Cardiac Magnetic Resonance Feature Tracking: A Novel Method to Assess Left Ventricular Three-Dimensional Strain Mechanics After Chronic Myocardial Infarction

Liping Yang; Shaodong Cao; Wei Liu; Tianzuo Wang; Hanshan Xu; Chao Gao; Lingbo Zhang; Kezheng Wang

doi:10.1016/j.acra.2020.03.013

Cardiac Magnetic Resonance Feature Tracking: A Novel Method to Assess Left Ventricular Three-Dimensional Strain Mechanics After Chronic Myocardial Infarction

Acad Radiol. 2021 May;28(5):619-627. doi: 10.1016/j.acra.2020.03.013. Epub 2020 Apr 24.

Authors

Liping Yang¹, Shaodong Cao², Wei Liu¹, Tianzuo Wang³, Hanshan Xu¹, Chao Gao², Lingbo Zhang⁴, Kezheng Wang⁵

Affiliations

¹ PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
² Medical imaging Department, the 4th Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
³ Medical imaging Department, the 2nd Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
⁴ Head-neck and Oral Department, the 2nd Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
⁵ PET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China. Electronic address: wangkezheng9954001@163.com.

PMID: 32340915
DOI: 10.1016/j.acra.2020.03.013

Abstract

Rationale and objectives: This study was designed to assess left ventricular deformation after chronic myocardial infarction (CMI) using cardiac magnetic resonance feature tracking (CMR-FT) technology, and analyze its relationship with left ventricular ejection fraction (LVEF) and infarcted transmurality.

Materials and methods: Ninety-six patients with CMI and 72 controls underwent 3.0 T CMR scanning. Strain parameters were measured by dedicated software, including global peak longitudinal strain (GPLS), global peak circumferential strain (GPCS), global peak radial strain (GPRS), segmental peak longitudinal strain (PLS), peak circumferential strain (PCS), and peak radial strain (PRS). All enhanced myocardium segments were divided into subendocardial infarction (SI) and transmural infarction (TI) group. Pearson, intraclass correlation coefficient and receiver operating characteristic analysis were performed to compare the parameters' mean values between SI and TI groups.

Results: GPLS, GPRS, and GPCS in CMI group were significantly decreased comparing with control group. PRS and PCS in TI group were significantly lower than those in SI group, whereas no statistical difference was observed in PLS. In Pearson correlation analysis, LVEF was strongly correlated with GPLS, GPRS, and GPCS in CMI patients. Additionally, excellent reproducibility of all strain parameters was observed. In receiver operating characteristic analysis, segmental PRS and PCS might differentiate SI from TI with higher diagnostic efficiency (p < 0.05), while PLS was less valuable (p > 0.05).

Conclusion: CMR-FT could noninvasively and quantitatively assess global and regional myocardial strain in CMI patients with excellent reproducibility and strong correlation with LVEF. Additionally, segmental myocardial strain parameters indicate potential clinical value in differentiating myocardial infarction subtype.

Keywords: Cardiac magnetic resonance (CMR); Feature-tracking (FT); Myocardial deformation; Myocardial infarction (MI).

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Humans
Magnetic Resonance Imaging, Cine
Magnetic Resonance Spectroscopy
Myocardial Infarction* / diagnostic imaging
Reproducibility of Results
Stroke Volume
Ventricular Function, Left*