Why the study?
To determine whether RV strain parameters can discriminate patients with revised Task Force Criteria-diagnosed ARVC incrementally to existing CMR criteria and improve diagnostic yield.
Does right ventricular strain analysis using CMR feature tracking improve the diagnostic accuracy for arrhythmogenic right ventricular cardiomyopathy compared to existing CMR criteria alone?
Does right ventricular strain analysis using CMR feature tracking improve the diagnostic accuracy for arrhythmogenic right ventricular cardiomyopathy compared to existing CMR criteria alone?
Answers are grounded in this paper and cite their sources.
Adding right ventricular global longitudinal strain (RV GLS) to standard CMR criteria significantly improves the diagnostic accuracy for arrhythmogenic right ventricular cardiomyopathy, particularly in borderline cases.
Background Strain analysis is a sensitive method for the assessment of ventricular structural or functional alterations. The authors aimed to determine whether right ventricular (RV) strain parameters can discriminate patients with revised Task Force Criteria–diagnosed arrhythmogenic RV cardiomyopathy (ARVC) incremental to the existing cardiovascular magnetic resonance (CMR) criteria, thus improving the diagnostic yield of CMR in ARVC. Methods and Results A total of 74 patients with revised Task Force Criteria–diagnosed ARVC (37 borderline and 37 definite) and 37 controls were retrospectively enrolled for analysis. Using CMR feature tracking, RV global longitudinal (GLS), circumferential, and radial strain of all participants were evaluated. Compared with controls, the study patients demonstrated significantly impaired global biventricular strain in all 3 directions (all P <0.001). Receiver operating characteristic curve analysis indicated that RV GLS was the strongest discriminator among all RV strain parameters for the identification of patients with ARVC (area under the curve, 0.92). Using the Youden index, the authors determined RV GLS ≥−19.95% as the diagnostic criterion of ARVC. In patients diagnosed with borderline ARVC according to revised Task Force Criteria but with no or only minor CMR criteria, there were >50% presenting with impaired RV GLS. When both conventional criteria and RV GLS were considered together, this new diagnostic method demonstrated an overall diagnostic accuracy of 90%. The likelihood ratio test showed a significant incremental diagnostic value of RV GLS ( P =0.02) over the existing CMR major criteria. Conclusions The current study showed an improved diagnostic accuracy when both RV GLS and the existing CMR criteria were considered together, especially for patients with borderline diagnosis, suggesting the incremental value of strain analysis to the initial assessment of ARVC.
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Dong et al. (2023) studied this question.
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