# Head-to-head comparison of left ventricular strain assessed by CMR post-processing tools and fast strain-ENCoded imaging

**Authors:** Andreas Ochs, Marc Zahlten, Janek Salatzki, Lukas D Weberling, James G Whayne, Christian Stehning, Evangelos Giannitsis, Claudia M Denkinger, Uta Merle, Sebastian Buss, Norbert Frey, Henning Steen, Florian André

PMC · DOI: 10.1093/ehjimp/qyag014 · European Heart Journal. Imaging Methods and Practice · 2026-01-23

## TL;DR

This study compares different methods for measuring heart muscle strain using MRI and finds that results vary significantly between techniques, emphasizing the need for standardized reference values.

## Contribution

The study provides a direct comparison of CMR strain measurement techniques, revealing significant differences in strain values between methods.

## Key findings

- Strain values differ significantly between feature tracking, tissue tracking, and fSENC methods.
- Agreement between feature tracking and tissue tracking is high for longitudinal strain but poor for radial strain.
- Post-COVID-19 patients show a mild reduction in longitudinal strain compared to controls across all techniques.

## Abstract

Cardiovascular magnetic resonance (CMR) strain imaging allows early detection of subclinical myocardial dysfunction and provides incremental diagnostic and prognostic information. Strain can be derived from dedicated sequences such as fast Strain-ENCoded imaging (fSENC) or from post-processing of cine images using feature tracking (FT) and tissue tracking (TT). However, it remains unclear whether strain values from different approaches are directly comparable, making the definition of universal reference values difficult. This study compared left ventricular (LV) strain assessed by FT, TT, and fSENC.

We studied 240 individuals (183 patients recovered from coronavirus disease 2019 [COVID-19] and 57 age- and sex-matched healthy controls), who underwent standardized CMR including cine imaging and fSENC. LV global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) were analysed using FT and TT; fSENC provided GLS and GCS. Global strain values differed significantly between all methods (P < 0.001). Agreement between FT and TT was high for GLS (bias −0.8%, r = 0.77) and moderate for GCS (bias −1.2%, r = 0.63), but poor for GRS (bias −6.0%, r = 0.37). Compared with fSENC, GLS showed moderate agreement for FT (bias 2.3%, r = 0.57) and TT (bias 3.0%, r = 0.59), while agreement for GCS was weaker. All approaches demonstrated excellent reproducibility. Post-COVID-19 patients showed a consistent but mild reduction in GLS compared with controls across all techniques (all P < 0.05).

CMR strain imaging provides fast, reliable, and reproducible measurements. However, strain values are not directly interchangeable even between similar post-processing methods or when compared with dedicated sequences, highlighting the need for standardization and method-specific reference values.

Graphical Abstract

## Linked entities

- **Diseases:** coronavirus disease 2019 (MONDO:0100096)

## Full-text entities

- **Diseases:** hypertension (MESH:D006973), motion (MESH:D009041), cerebrovascular (MESH:D002561), infection (MESH:D007239), TT (MESH:D017695), stroke (MESH:D020521), obesity (MESH:D009765), myocarditis (MESH:D009205), Strain (MESH:D013180), fatigue (MESH:D005221), disease (MESH:D004194), end-systole (MESH:D003643), ischaemia (MESH:D007511), heart failure (MESH:D006333), COVID-19 (MESH:D000086382), memory deficits (MESH:D008569), cardiomyopathies (MESH:D009202), Post-COVID-19 (MESH:D000094024), cardiac (MESH:D006331), myocardial infarction (MESH:D009203), coronary artery disease (MESH:D003324), arterial hypertension (MESH:D000081029)
- **Chemicals:** thyroid medication (-), gadolinium (MESH:D005682)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12877874/full.md

## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12877874/full.md

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Source: https://tomesphere.com/paper/PMC12877874