Skip to content

Arrhythmogenic right ventricular cardiomyopathy (ARVC) mimics: the knot unravelled by cardiovascular MRI

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)228-234
Number of pages7
JournalClinical Radiology
Volume74
Issue number3
Early online date23 Jan 2019
DOIs
DateAccepted/In press - 6 Dec 2018
DateE-pub ahead of print - 23 Jan 2019
DatePublished (current) - Mar 2019

Abstract

AIM: To assess the role of cardiovascular magnetic resonance imaging (CMRI) in patients referred for suspected arrhythmogenic right ventricular cardiomyopathy (ARVC), its ability to identify ARVC mimics, and subsequent clinical impact.

MATERIALS AND METHODS: The CMRI registry of the year 2014 was analysed to identify all consecutive patients referred for suspected ARVC. A comprehensive CMRI protocol that included anatomy, bi-ventricular function modules, and late gadolinium enhancement (LGE) was performed in all patients.

RESULTS: Out of 2,481 CMRI performed, 124 patients (5%) were referred for suspected ARVC. A pathological substrate was identified at CMRI in 36 patients (29%): five patients (4%) had ischaemic heart disease (IHD) and 10 (8%) non-IHD; five patients (4%) met CMRI criteria for ARVC and 16 (13%) were ARVC mimics. right ventricular end-diastolic volume (RVEDV) and right ventricular stroke volume (RVSV) were significantly higher in patients with ARVC mimics (RVEDV p=0.007, RVSV p=0.012) and ARVC (RVEDV p=0.013, RVSV p=0.013), as compared to those with structurally normal hearts. CMRI was superior to echocardiography in the identification of ARVC mimics (13% versus 1%, p=0.01).

CONCLUSIONS: CMRI was able to identify 16 (13%) ARVC mimics, from congenital abnormalities to acquired heart disease. CMRI was superior in identifying ARVC mimics compared to echocardiography, and overall provided a change in diagnosis in 22% of patients.

    Structured keywords

  • Centre for Surgical Research

Documents

Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.crad.2018.12.002 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 136 KB, PDF document

    Embargo ends: 23/01/20

    Request copy

    Licence: CC BY-NC-ND

DOI

View research connections

Related faculties, schools or groups