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Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease

Authors :
Daniel A. Auger
Sona. Ghadimi
Xiaoying Cai
Claire E. Reagan
Changyu Sun
Mohamad Abdi
Jie Jane Cao
Joshua Y. Cheng
Nora Ngai
Andrew D. Scott
Pedro F. Ferreira
John N. Oshinski
Nick Emamifar
Daniel B. Ennis
Michael Loecher
Zhan-Qiu Liu
Pierre Croisille
Magalie Viallon
Kenneth C. Bilchick
Frederick H. Epstein
Source :
Journal of Cardiovascular Magnetic Resonance, Vol 24, Iss 1, Pp 1-12 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Abstract Background While multiple cardiovascular magnetic resonance (CMR) methods provide excellent reproducibility of global circumferential and global longitudinal strain, achieving highly reproducible segmental strain is more challenging. Previous single-center studies have demonstrated excellent reproducibility of displacement encoding with stimulated echoes (DENSE) segmental circumferential strain. The present study evaluated the reproducibility of DENSE for measurement of whole-slice or global circumferential (Ecc), longitudinal (Ell) and radial (Err) strain, torsion, and segmental Ecc at multiple centers. Methods Six centers participated and a total of 81 subjects were studied, including 60 healthy subjects and 21 patients with various types of heart disease. CMR utilized 3 T scanners, and cine DENSE images were acquired in three short-axis planes and in the four-chamber long-axis view. During one imaging session, each subject underwent two separate DENSE scans to assess inter-scan reproducibility. Each subject was taken out of the scanner and repositioned between the scans. Intra-user, inter-user-same-site, inter-user-different-site, and inter-user-Human-Deep-Learning (DL) comparisons assessed the reproducibility of different users analyzing the same data. Inter-scan comparisons assessed the reproducibility of DENSE from scan to scan. The reproducibility of whole-slice or global Ecc, Ell and Err, torsion, and segmental Ecc were quantified using Bland–Altman analysis, the coefficient of variation (CV), and the intraclass correlation coefficient (ICC). CV was considered excellent for CV ≤ 10%, good for 10% 40. ICC values were considered excellent for ICC > 0.74, good for ICC 0.6

Details

Language :
English
ISSN :
1532429X
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Cardiovascular Magnetic Resonance
Publication Type :
Academic Journal
Accession number :
edsdoj.fe4c319e1d6f4b27805a0629c97aa6c6
Document Type :
article
Full Text :
https://doi.org/10.1186/s12968-022-00851-7