Heart failure & cardiomyopathies

Myocardial strain analysis by cardiac magnetic resonance 3D feature-tracking identifies subclinical abnormalities in patients with neuromuscular disease and no overt cardiac involvement

Eur Heart J Cardiovasc ImagingPublished Retrospective case-control study

Authors' conclusion

3D-FT CMR detects subclinical cardiac muscle disease in patients with NMD even before the development of replacement fibrosis or ventricular remodelling which may be a useful imaging biomarker for early detection of cardiac involvement.

Study context

Population
Patients with neuromuscular disease
Participants
111 vs 57
Comparison
NMD patients vs healthy volunteers
  • NMDn = 111
  • Healthy volunteersn = 57reference
Outcome
2D and 3D LV myocardial strain (GCS, global radial strain (GRS), GLS, torsion) by FT-CMR
Methodological detailsage- and sex-matched healthy volunteers
  • Age- and sex-matched healthy volunteers

Main finding

As reported in the abstract

LV myocardial strain, NMD vs healthy volunteers
Impaired 2D-GCS in NMD
P < 0.001
Impaired 2D-GRS (short-axis) in NMD
P < 0.001
No significant difference in 2D-GRS long-axis
P = 0.101
No significant difference in 2D-GLS
P = 0.069
No significant difference in torsion
P = 0.122
3D-GRS, 3D-GCS and 3D-GLS significantly different vs control
P < 0.0001 for all

Observational data: associations, not effects.

Further findings

3D strain in NMD without overt cardiac involvement (no LV dilation/hypertrophy, reduced LVEF or late gadolinium enhancement (LGE)) (subgroup)

Significantly impaired 3D-GRS, global circumferential strain (GCS) and global longitudinal strain (GLS) vs control
P < 0.0001

3D-GRS and GCS by LGE presence and pattern

Significantly associated with LGE presence and pattern; most impaired with transmural LGE

Original publication

Myocardial strain analysis by cardiac magnetic resonance 3D feature-tracking identifies subclinical abnormalities in patients with neuromuscular disease and no overt cardiac involvement. Eur Heart J Cardiovasc Imaging. Published 6 July 2022. doi:10.1093/ehjci/jeac129

Summarised from the published abstract; every number is checked against it

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