Literature DB >> 23335425

Reproducibility of first-pass cardiovascular magnetic resonance myocardial perfusion.

Abdulghani M Larghat1, Neil Maredia, John Biglands, John P Greenwood, Stephen G Ball, Michael Jerosch-Herold, Aleksandra Radjenovic, Sven Plein.   

Abstract

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.
Copyright © 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23335425     DOI: 10.1002/jmri.23889

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  28 in total

1.  Variability in quantitative cardiac magnetic resonance perfusion analysis.

Authors:  K Bratis; Eike Nagel
Journal:  J Thorac Dis       Date:  2013-06       Impact factor: 2.895

2.  Going with the flow: how reproducible are cardiac magnetic resonance measurements of myocardial perfusion?

Authors:  John Biglands; Sven Plein
Journal:  J Thorac Dis       Date:  2013-06       Impact factor: 2.895

3.  Myocardial perfusion reserve index during adenosine stress magnetic resonance for the detection of coronary artery disease - ready for prime time?

Authors:  Grigorios Korosoglou; Hugo A Katus
Journal:  J Thorac Dis       Date:  2013-06       Impact factor: 2.895

4.  Influence of the cardiac cycle on time-intensity curves using multislice dynamic magnetic resonance perfusion.

Authors:  Alain Nchimi; Isabelle Mancini; Thomas K Y Broussaud
Journal:  Int J Cardiovasc Imaging       Date:  2014-06-14       Impact factor: 2.357

Review 5.  Women with Stable Angina Pectoris and No Obstructive Coronary Artery Disease: Closer to a Diagnosis.

Authors:  Marie Mide Michelsen; Naja Dam Mygind; Daria Frestad; Eva Prescott
Journal:  Eur Cardiol       Date:  2017-08

6.  Impact of baseline calibration on semiquantitative assessment of myocardial perfusion reserve by adenosine stress MRI.

Authors:  Andreas Seitz; Giancarlo Pirozzolo; Udo Sechtem; Raffi Bekeredjian; Peter Ong; Heiko Mahrholdt
Journal:  Int J Cardiovasc Imaging       Date:  2019-11-14       Impact factor: 2.357

7.  Cardiac magnetic resonance myocardial perfusion reserve index is reduced in women with coronary microvascular dysfunction. A National Heart, Lung, and Blood Institute-sponsored study from the Women's Ischemia Syndrome Evaluation.

Authors:  Louise E J Thomson; Janet Wei; Megha Agarwal; Afsaneh Haft-Baradaran; Chrisandra Shufelt; Puja K Mehta; Edward B Gill; B Delia Johnson; Tanya Kenkre; Eileen M Handberg; Debiao Li; Behzad Sharif; Daniel S Berman; John W Petersen; Carl J Pepine; C Noel Bairey Merz
Journal:  Circ Cardiovasc Imaging       Date:  2015-04       Impact factor: 7.792

Review 8.  Coronary Microvascular Dysfunction Across the Spectrum of Cardiovascular Diseases: JACC State-of-the-Art Review.

Authors:  Marco Giuseppe Del Buono; Rocco A Montone; Massimiliano Camilli; Salvatore Carbone; Jagat Narula; Carl J Lavie; Giampaolo Niccoli; Filippo Crea
Journal:  J Am Coll Cardiol       Date:  2021-09-28       Impact factor: 24.094

9.  Interstudy repeatability of self-gated quantitative myocardial perfusion MRI.

Authors:  Devavrat Likhite; Promporn Suksaranjit; Ganesh Adluru; Nan Hu; Cindy Weng; Eugene Kholmovski; Chris McGann; Brent Wilson; Edward DiBella
Journal:  J Magn Reson Imaging       Date:  2015-12-13       Impact factor: 4.813

Review 10.  Coronary Microvascular Dysfunction: A Practical Approach to Diagnosis and Management.

Authors:  Daria Frestad Bechsgaard; Eva Prescott
Journal:  Curr Atheroscler Rep       Date:  2021-07-16       Impact factor: 5.113

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