Regional myocardial strain by cardiac magnetic resonance feature tracking for detection of scar in ischemic heart disease.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
05 2020
Historique:
received: 01 10 2019
revised: 23 12 2019
accepted: 18 02 2020
pubmed: 23 2 2020
medline: 1 12 2020
entrez: 22 2 2020
Statut: ppublish

Résumé

Although cardiac magnetic resonance (CMR) can accurately quantify global left ventricular strain using feature tracking (FT), it has been suggested that FT cannot reliably quantify regional strain. We aimed to determine whether abnormalities in regional strain measured using FT can be detected within areas of myocardial scar and to determine the extent to which the regional strain measurement is impacted by LV ejection fraction (EF). We retrospectively studied 96 patients (46 with LVEF ≤ 40%, 50 with LVEF > 40%) with coronary artery disease and a late gadolinium enhancement (LGE) pattern consistent with myocardial infarction, who underwent CMR imaging (1.5T). Regional peak systolic longitudinal and circumferential strains (RLS, RCS) were measured within LGE and non-LGE areas. Linear regression analysis was performed for strain in both areas against LVEF to determine whether the relationship between strain and LGE holds across the LV function spectrum. Receiver-operating curve (ROC) analysis was performed in 33 patients (derivation cohort) to optimize strain cutoff, which was tested in the remaining 63 patients (validation cohort) for its ability to differentiate LGE from non-LGE areas. Both RLS and RCS magnitudes were reduced in LGE areas: RLS = -10.4 ± 6.2% versus -21.0 ± 8.5% (p < 0.001); RCS = -10.4 ± 6.0% versus -18.9 ± 8.6%, respectively (p < 0.001), but there was considerable overlap between LGE and non-LGE areas. Linear regression revealed that it was partially driven by the natural dependence between strain and EF, suggesting that EF-corrected strain cutoff is needed to detect LGE. ROC analysis showed the ability of both RLS and RCS to differentiate LGE from non-LGE areas: area under curve 0.95 and 0.89, respectively. In the validation cohort, optimal cutoffs of RLS/EF = 0.36 and RCS/EF = 0.37 yielded sensitivity, specificity and accuracy 0.74-0.78. Abnormalities in RLS and RCS within areas of myocardial scar can be detected using CMR-FT; however, LVEF must be accounted for.

Sections du résumé

BACKGROUND
Although cardiac magnetic resonance (CMR) can accurately quantify global left ventricular strain using feature tracking (FT), it has been suggested that FT cannot reliably quantify regional strain. We aimed to determine whether abnormalities in regional strain measured using FT can be detected within areas of myocardial scar and to determine the extent to which the regional strain measurement is impacted by LV ejection fraction (EF).
METHODS
We retrospectively studied 96 patients (46 with LVEF ≤ 40%, 50 with LVEF > 40%) with coronary artery disease and a late gadolinium enhancement (LGE) pattern consistent with myocardial infarction, who underwent CMR imaging (1.5T). Regional peak systolic longitudinal and circumferential strains (RLS, RCS) were measured within LGE and non-LGE areas. Linear regression analysis was performed for strain in both areas against LVEF to determine whether the relationship between strain and LGE holds across the LV function spectrum. Receiver-operating curve (ROC) analysis was performed in 33 patients (derivation cohort) to optimize strain cutoff, which was tested in the remaining 63 patients (validation cohort) for its ability to differentiate LGE from non-LGE areas.
RESULTS
Both RLS and RCS magnitudes were reduced in LGE areas: RLS = -10.4 ± 6.2% versus -21.0 ± 8.5% (p < 0.001); RCS = -10.4 ± 6.0% versus -18.9 ± 8.6%, respectively (p < 0.001), but there was considerable overlap between LGE and non-LGE areas. Linear regression revealed that it was partially driven by the natural dependence between strain and EF, suggesting that EF-corrected strain cutoff is needed to detect LGE. ROC analysis showed the ability of both RLS and RCS to differentiate LGE from non-LGE areas: area under curve 0.95 and 0.89, respectively. In the validation cohort, optimal cutoffs of RLS/EF = 0.36 and RCS/EF = 0.37 yielded sensitivity, specificity and accuracy 0.74-0.78.
CONCLUSION
Abnormalities in RLS and RCS within areas of myocardial scar can be detected using CMR-FT; however, LVEF must be accounted for.

Identifiants

pubmed: 32084516
pii: S0730-725X(19)30591-0
doi: 10.1016/j.mri.2020.02.009
pii:
doi:

Substances chimiques

Contrast Media 0
Gadolinium DTPA K2I13DR72L

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

190-196

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Konstantinos Stathogiannis (K)

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA; First Department of Cardiology, Hippokration Hospital, University of Athens, Athens, Greece.

Victor Mor-Avi (V)

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA. Electronic address: vmoravi@bsd.uchicago.edu.

Nina Rashedi (N)

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA. Electronic address: nina.rashedi@uchospitals.edu.

Roberto M Lang (RM)

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA. Electronic address: rlang@bsd.uchicago.edu.

Amit R Patel (AR)

Department of Medicine, University of Chicago Medicine, Chicago, IL, USA. Electronic address: amitpatel@uchicago.edu.

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Classifications MeSH