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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Reproducibility of first-pass cardiovascular magnetic resonance myocardial perfusion
Journal of Magnetic Resonance Imaging, Volume 37, No. 4, Year 2013
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Description
Purpose: To assess the reproducibility of semiquantitative and quantitative analysis of first-pass myocardial perfusion cardiovascular magnetic resonance (CMR) in healthy volunteers. Materials and Methods: Eleven volunteers underwent myocardial perfusion CMR during adenosine stress and rest on 2 separate days. Perfusion data were acquired in a single mid-ventricular section in two cardiac phases to permit cardiac phase reproducibility comparisons. Semiquantitative analysis was performed to derive normalized upslopes of myocardial signal intensity profiles (myocardial perfusion index, MPI). The quantitative analysis estimated absolute myocardial blood flow (MBF) using Fermi-constrained deconvolution. The perfusion reserve index was calculated by dividing stress by rest data. Two observers performed all the measurements independently. One observer repeated all first scan measurements 4 weeks later. Results: The reproducibility of perfusion CMR was highest for semiquantitative analysis with an intraobserver coefficient of variability (CoV) of 3%-7% and interobserver CoV of 4%-10%. Semiquantitative interstudy comparison was less reproducible (CoV of 13%-27%). Quantitative intraobserver CoV of 10%-18%, interobserver CoV of 8%-15% and interstudy CoV of 20%-41%. Reproducibility of systolic and diastolic phases and the endocardial and epicardial myocardial layer showed similar reproducibility on both semiquantitative and quantitative analysis. Conclusion: The reproducibility of CMR myocardial perfusion estimates is good, but varies between intraobserver, interobserver, and interstudy comparisons. In this study semiquantitative analysis was more reproducible than quantitative analysis. © 2013 Wiley Periodicals, Inc.
Authors & Co-Authors
Larghat, Abdulghani M.
United Kingdom, Leeds
University of Leeds, School of Medicine
Libya, Tripoli
University of Tripoli
Maredia, Neil
United Kingdom, Leeds
University of Leeds, School of Medicine
Biglands, John D.
United Kingdom, Leeds
University of Leeds
Greenwood, John Pierre
United Kingdom, Leeds
University of Leeds, School of Medicine
Ball, Stephen Geoffry
United Kingdom, Leeds
University of Leeds, School of Medicine
Jerosch-Herold, Michael
United States, Boston
Brigham and Women's Hospital
Radjenović, Aleksandra
Libya, Tripoli
University of Tripoli
Plein, Sven
United Kingdom, Leeds
University of Leeds, School of Medicine
Statistics
Citations: 54
Authors: 8
Affiliations: 4
Identifiers
Doi:
10.1002/jmri.23889
ISSN:
10531807
e-ISSN:
15222586
Research Areas
Noncommunicable Diseases
Study Approach
Quantitative