Right ventricular scalloping index as CMR-derived marker for diagnosis of arrhythmogenic right ventricular cardiomyopathy

Author:

Huang Ko-Ying1,Chung Fa-Po234,Guo Chao-Yu5,Chiu Jui-Han1,Kuo Ling234,Lee Ying-Chi1,Weng Ching-Yao1,Chang Ying-Yueh1,Lin Yenn-Jiang234,Chen Chun-Ku13

Affiliation:

1. Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC

2. Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC

3. School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC

4. Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC

5. Institute of Public Health, National Yang Ming Chiao Tung University, Taipei Taiwan, ROC

Abstract

Background: The cardiac magnetic resonance (CMR) evaluation of right ventricular (RV) morphologic abnormalities in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) is subjective. Here we aimed to use a quantitative index, the right ventricular scalloping index (RVSI), to standardize the measurement of RV free wall scalloping and aid in the imaging diagnosis. Methods: We retrospectively included 15 patients with definite ARVC and 45 age- and sex-matched patients with idiopathic right ventricular outflow tract ventricular arrhythmia (RVOT-VA) as controls. The RVSI was measured from cine images on four-chamber view to evaluate its ability to distinguish between ARVC and RVOT-VA patients. Other cardiac functional parameters including strain analysis were also performed. Results: The RVSI was significantly higher in the ARVC than RVOT-VA group (1.56±0.23 vs. 1.30±0.08, p<0.001). The diagnostic performance of the RVSI was superior to the RV global longitudinal, circumferential, and radial strains, RV ejection fraction, and RV end-diastolic volume index. The RVSI demonstrated high intra- and interobserver reliability (intraclass correlation coefficient, 0.94 and 0.96, respectively). RVSI was a strong discriminator between ARVC and RVOT-VA patients (Area under curve [AUC], 0.91; 95% confidence interval [CI], 0.82–0.99). A cut-off value of RVSI ≥ 1.49 provided an accuracy of 90.0%, specificity of 97.8%, sensitivity of 66.7%, positive predictive value (PPV) of 90.9%, and a negative predictive value (NPV) of 89.8%. In a multivariable analysis, a family history of ARVC or sudden cardiac death (odds ratio, 38.71; 95% confidence interval, 1.48–1011.05; p=0.028) and an RVSI ≥ 1.49 (odds ratio, 64.72; 95% confidence interval, 4.58–914.63; p=0.002) remained predictive of definite ARVC. Conclusion: RVSI is a quantitative method with good performance for the diagnosis of definite ARVC.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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