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January 1, 2003Cardiology192 citations

MR Imaging of Arrhythmogenic Right Ventricular Cardiomyopathy: Morphologic Findings and Interobserver Reliability

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DBDavid A. BluemkeEKElizabeth A. KrupinskiTOTheron W. Ovitt

Key Result

Cardiac MR imaging evaluation identified right ventricular chamber enlargement (58% vs 14%) and abnormal morphology (47% vs 15%) significantly more often in definite ARVC/D cases than controls (p<0.0001).

Key Points

  • This study aimed to identify morphologic MR imaging features with high interobserver reliability for diagnosing arrhythmogenic right ventricular cardiomyopathy (ARVC/D).
  • Forty-five sets of cardiac MR images reviewed by 8 radiologists and 5 cardiologists.
  • Assessment of images for right ventricle enlargement, morphology, and presence of high T(1) signal.
  • Used Likert scale for formatted responses.
  • Task Force ARVC/D cases had 58% RV chamber enlargement, significantly higher than suspected ARVC/D (12%) or non-ARVC/D (14%).
  • When RV chamber size was reported as enlarged, the likelihood of diagnosing ARVC/D increased (chi(2)=33.98, p<0.0001).
  • Abnormal RV morphology was noted in 47% of Task Force ARVC/D cases compared to 20% and 15% for suspected and non-ARVC/D cases, respectively.

Study Design

Type

Observational (n=45)

Structured PICO

Which morphologic MR imaging features have the greatest interobserver reliability for diagnosing ARVC/D?

P
Population
45 sets of cardiac MR images (7 definite ARVC/D by Task Force criteria, 6 controls, 32 suspected ARVC/D) evaluated by 8 radiologists and 5 cardiologists
I
Intervention
Evaluation of cardiac MR images for morphologic features (RV enlargement, RV abnormal morphology, LV enlargement, high T1 signal/fat presence and location)
O
Outcome
Interobserver reliability of morphologic MR imaging features for diagnosing ARVC/Dsurrogate

RV size and shape abnormalities, rather than the presence of fat (high T1 signal), are the key reliable MR imaging discriminators for diagnosing ARVC/D.

Main Result

p-value: p=<0.0001

Abstract

BACKGROUND: Magnetic resonance (MR) imaging is frequently used to diagnose arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC/D). However, the reliability of various MR imaging features for diagnosing ARVC/D is unknown. The purpose of this study was to determine which morphologic MR imaging features have the greatest interobserver reliability for diagnosing ARVC/D. METHODS: Forty-five sets of films of cardiac MR images were sent to 8 radiologists and 5 cardiologists with experience in this field. There were 7 cases of definite ARVC/D as defined by the Task Force criteria. Six cases were controls. The remaining 32 cases had MR imaging because of clinical suspicion of ARVC/D. Readers evaluated the images for the presence of (a) right ventricle (RV) enlargement, (b) RV abnormal morphology, (c) left ventricle enlargement, (d) presence of high T(1) signal (fat) in the myocardium, and (e) location of high T(1) signal (fat) on a Likert scale with formatted responses. RESULTS: Readers indicated that the Task Force ARVC/D cases had significantly more (chi(2) = 119.93, d.f. = 10, p 0.05). CONCLUSIONS: Reviewers found that the size and shape of abnormalities in the RV are key MR imaging discriminates of ARVD. Subsequent protocol development and multicenter trials need to address these parameters. Essential steps in improving accuracy and reducing variability include a standardized acquisition protocol and standardized analysis with dynamic cine review of regional RV function and quantification of RV and left ventricle volumes.

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Cite This Study

Bluemke et al. (2003) conducted an observational in Arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC/D) (n=45). Cardiac magnetic resonance (MR) imaging was evaluated on Presence of right ventricle enlargement and abnormal morphology (p=<0.0001). Cardiac MR imaging evaluation identified right ventricular chamber enlargement (58% vs 14%) and abnormal morphology (47% vs 15%) significantly more often in definite ARVC/D cases than controls (p<0.0001).

synapsesocial.com/papers/6a081bc31e0fcf4a43e8a7e5https://doi.org/10.1159/000070672
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