![]() ![]() ![]() Myocardial strain analysis using feature tracking (FT) has emerged to be a simple post-processing method to assess cardiac function in heart failure (HF) with preserved ejection fraction (HFpEF) patients. Publicly available imaging data sets with outcomes would be important to validate the growing number of CMR-FT software packages.Ĭardiovascular magnetic resonance imaging (CMR) is recommended as the gold standard for the assessment of left ventricular (LV) systolic function. ![]() We illustrated a framework to compare feature tracking GLS derived from different post-processing software packages. 4-chamber peak GLS by SuiteHeart was shown to be a better discriminator of adverse outcomes in HFpEF patients than 4-chamber GLS derived from cvi42 or DRA-Trufistrain. ResultsĪll three software packages were able to distinguish HFpEF patients from controls. The three different post-processing software used were SuiteHeart, cvi42, and DRA-Trufistrain. ![]() To illustrate this concept, we compared 4-chamber left ventricular (LV) peak longitudinal strain (GLS) analyzed from retrospective electrocardiogram gated cine imaging performed on 1.5 T CMR scanners using three CMR post-processing software packages in their abilities to discriminate a group of 45 patients with heart failure with preserved ejection fraction (HFpEF) from 26 controls without cardiovascular disease and to discriminate disease severity based on outcomes. We explored a framework under which different software packages could be compared and used based on their abilities to differentiate disease from health and differentiate disease severity based on outcome. However, different software packages produce different strain values from the same images and there is little guidance regarding which software package would be the best to use. Cardiovascular magnetic resonance (CMR) myocardial strain analysis using feature tracking (FT) is an increasingly popular method to assess cardiac function. ![]()
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