Myocardial strain measurement with feature-tracking cardiovascular magnetic resonance: normal values.

RJ Taylor, WE Moody, F Umar, NC Edwards, TJ Taylor, B Stegemann, JN Townend, KN Hor, RP Steeds, W Mazur, F Leyva

Research output: Contribution to journalArticlepeer-review

Abstract

Aims Myocardial deformation is a key to clinical decision-making. Feature-tracking cardiovascular magnetic resonance (FT-CMR) provides quantification of motion and strain using standard steady-state in free-precession (SSFP) imaging, which is part of a routine CMR left ventricular (LV) study protocol. An accepted definition of a normal range is essential if this technique is to enter the clinical arena. Methods and results One hundred healthy individuals, with 10 men and women in each of 5 age deciles from 20 to 70 years, without a history of cardiovascular disease, diabetes, renal impairment, or family history of cardiovascular disease, and with a normal stress echocardiogram, underwent FT-CMR assessment of LV myocardial strain and strain rate using SSFP cines. Peak systolic longitudinal strain (Ell) was −21.3 ± 4.8%, peak systolic circumferential strain (Ecc) was −26.1 ± 3.8%, and peak systolic radial strain (Err) was 39.8 ± 8.3%. On Bland–Altman analyses, peak systolic Ecc had the best inter-observer agreement (bias 0.63 ± 1.29% and 95% CI −1.90 to 3.16) and peak systolic Err the least inter-observer agreement (bias 0.13 ± 6.41 and 95% CI −12.44 to 12.71). There was an increase in the magnitude of peak systolic Ecc with advancing age, which was greatest in subjects over the age of 50 years (R2 = 0.11, P = 0.003). There were significant gender differences (P < 0.001) in peak systolic Ell, with a greater magnitude of deformation in females (−22.7%) than in males (−19.3%). Conclusion Normal values for myocardial strain measurements using FT-CMR are provided. All circumferential and longitudinal based variables had excellent intra- and inter-observer variability.
Original languageEnglish
Pages (from-to)871–881
JournalEuropean Heart Journal- Cardiovascular Imaging
Volume16
Issue number8
Early online date23 Feb 2015
DOIs
Publication statusPublished - 1 Aug 2015

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