Literature DB >> 20099344

Quantification of 3D regional myocardial wall thickening from gated magnetic resonance images.

Mithun Prasad1, Amit Ramesh, Paul Kavanagh, Balaji K Tamarappoo, Ryo Nakazato, James Gerlach, Victor Cheng, Louise E J Thomson, Daniel S Berman, Guido Germano, Piotr J Slomka.   

Abstract

PURPOSE: To develop 3D quantitative measures of regional myocardial wall motion and thickening using cardiac magnetic resonance imaging (MRI) and to validate them by comparison to standard visual scoring assessment.
MATERIALS AND METHODS: In all, 53 consecutive subjects with short-axis slices and mid-ventricular 2-chamber/4-chamber views were analyzed. After correction for breath-hold-related misregistration, 3D myocardial boundaries were fitted to images and edited by an imaging cardiologist. Myocardial thickness was quantified at end-diastole and end-systole by computing the 3D distances using Laplace's equation. 3D thickening was represented using the standard 17-segment polar coordinates. 3D thickening was compared with 3D wall motion and with expert visual scores (6-point visual scoring of wall motion and wall thickening; 0 = normal; 5 = greatest abnormality) assigned by imaging cardiologists.
RESULTS: Correlation between ejection fraction and thickening measurements was (r = 0.84; P < 0.001) compared to correlation between ejection fraction and motion measurements (r = 0.86; P < 0.001). Good negative correlation between summed visual scores and global wall thickening and motion measurements were also obtained (r(thick) = -0.79; r(motion) = -0.74). Additionally, overall good correlation between individual segmental visual scores with thickening/wall motion (r(thick) = -0.69; r(motion) = -0.65) was observed (P < 0.0001).
CONCLUSION: 3D quantitative regional thickening and wall motion measures obtained from MRI correlate strongly with expert clinical scoring.

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Year:  2010        PMID: 20099344      PMCID: PMC2945248          DOI: 10.1002/jmri.22033

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


  30 in total

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