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Published in: Journal of Cardiovascular Magnetic Resonance 1/2021

Open Access 01-12-2021 | Heart Failure | Research

Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction

Authors: Ying Zhang, David Mui, Julio A. Chirinos, Payman Zamani, Victor A. Ferrari, Yucheng Chen, Yuchi Han

Published in: Journal of Cardiovascular Magnetic Resonance | Issue 1/2021

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Abstract

Background

Cardiovascular magnetic resonance (CMR) myocardial strain analysis using feature tracking (FT) is an increasingly popular method to assess cardiac function. 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. 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.

Method

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. The three different post-processing software used were SuiteHeart, cvi42, and DRA-Trufistrain.

Results

All three software packages were able to distinguish HFpEF patients from controls. 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.

Conclusion

We illustrated a framework to compare feature tracking GLS derived from different post-processing software packages. Publicly available imaging data sets with outcomes would be important to validate the growing number of CMR-FT software packages.
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Metadata
Title
Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction
Authors
Ying Zhang
David Mui
Julio A. Chirinos
Payman Zamani
Victor A. Ferrari
Yucheng Chen
Yuchi Han
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Heart Failure
Published in
Journal of Cardiovascular Magnetic Resonance / Issue 1/2021
Electronic ISSN: 1532-429X
DOI
https://doi.org/10.1186/s12968-021-00747-y

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