analysis is a promising tool for the detection of subtle but relevant alterations of left ventricular function, also in asymptomatic subjects. Thus, we determined the feasibility of cardiac magnetic resonance–based 2D global strain
analysis using feature tracking
and its association with cardiovascular risk factors in a sample from the general population.
Materials and Methods:
Subjects without a history of cardiocerebrovascular disease were enrolled in a substudy of the population-based KORA (Cooperative Health Research in the Region of Augsburg) cohort. In all participants with the absence of late gadolinium enhancement, longitudinal and circumferential global strains were measured on Cine SSFP imaging (TR: 29.97 ms, TE: 1.46 ms, ST: 8 mm), using a semiautomatic segmentation algorithm (CVI42, Circle, Canada). Differences in strain
values according to age, sex, body mass index, hypertension, diabetes mellitus, and hyperlipidemia were derived using linear regression analysis.
Among 360 subjects (mean age, 56.2±9.2 y, 57% male), the average global systolic radial strain
was 40.1±8.2%, circumferential 19.9±2.7%, and longitudinal 19.8±3.2%. Male sex was associated with decreased global strain
values, independent of the strain
direction (all P
<0.001). Although many cardiovascular risk factors were correlated with strain
in univariate analysis, mainly waist-to-hip ratio and HbA1c remained associated with decreased radial and circumferential strains in fully adjusted models. Similarly, higher radial and circumferential strains were observed in older subjects (β=0.14, P
=0.01 and β=0.11, P
analysis using magnetic resonance feature tracking
is feasible in population-based cohort
studies and shows differences with respect to age and sex as well as an independent association with markers of metabolic syndrome.