Please use this identifier to cite or link to this item: https://doi.org/10.1186/1532-429X-16-16
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dc.titlePopulation-based studies of myocardial hypertrophy: High resolution cardiovascular magnetic resonance atlases improve statistical power
dc.contributor.authorDe Marvao A.
dc.contributor.authorDawes T.J.
dc.contributor.authorShi W.
dc.contributor.authorMinas C.
dc.contributor.authorKeenan N.G.
dc.contributor.authorDiamond T.
dc.contributor.authorDurighel G.
dc.contributor.authorMontana G.
dc.contributor.authorRueckert D.
dc.contributor.authorCook S.A.
dc.contributor.authorO'Regan D.P.
dc.date.accessioned2019-01-15T08:25:56Z
dc.date.available2019-01-15T08:25:56Z
dc.date.issued2014
dc.identifier.citationDe Marvao A., Dawes T.J., Shi W., Minas C., Keenan N.G., Diamond T., Durighel G., Montana G., Rueckert D., Cook S.A., O'Regan D.P. (2014). Population-based studies of myocardial hypertrophy: High resolution cardiovascular magnetic resonance atlases improve statistical power. Journal of Cardiovascular Magnetic Resonance 16 (1) : 16. ScholarBank@NUS Repository. https://doi.org/10.1186/1532-429X-16-16
dc.identifier.issn10976647
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/150854
dc.description.abstractBackground: Cardiac phenotypes, such as left ventricular (LV) mass, demonstrate high heritability although most genes associated with these complex traits remain unidentified. Genome-wide association studies (GWAS) have relied on conventional 2D cardiovascular magnetic resonance (CMR) as the gold-standard for phenotyping. However this technique is insensitive to the regional variations in wall thickness which are often associated with left ventricular hypertrophy and require large cohorts to reach significance. Here we test whether automated cardiac phenotyping using high spatial resolution CMR atlases can achieve improved precision for mapping wall thickness in healthy populations and whether smaller sample sizes are required compared to conventional methods. Methods. LV short-axis cine images were acquired in 138 healthy volunteers using standard 2D imaging and 3D high spatial resolution CMR. A multi-atlas technique was used to segment and co-register each image. The agreement between methods for end-diastolic volume and mass was made using Bland-Altman analysis in 20 subjects. The 3D and 2D segmentations of the LV were compared to manual labeling by the proportion of concordant voxels (Dice coefficient) and the distances separating corresponding points. Parametric and nonparametric data were analysed with paired t-tests and Wilcoxon signed-rank test respectively. Voxelwise power calculations used the interstudy variances of wall thickness. Results: The 3D volumetric measurements showed no bias compared to 2D imaging. The segmented 3D images were more accurate than 2D images for defining the epicardium (Dice: 0.95 vs 0.93, P < 0.001; mean error 1.3 mm vs 2.2 mm, P < 0.001) and endocardium (Dice 0.95 vs 0.93, P < 0.001; mean error 1.1 mm vs 2.0 mm, P < 0.001). The 3D technique resulted in significant differences in wall thickness assessment at the base, septum and apex of the LV compared to 2D (P < 0.001). Fewer subjects were required for 3D imaging to detect a 1 mm difference in wall thickness (72 vs 56, P < 0.001). Conclusions: High spatial resolution CMR with automated phenotyping provides greater power for mapping wall thickness than conventional 2D imaging and enables a reduction in the sample size required for studies of environmental and genetic determinants of LV wall thickness. ? 2014 de Marvao et al.; licensee BioMed Central Ltd.
dc.sourceScopus
dc.subjectBiobank
dc.subjectCardiomyopathy
dc.subjectCardiovascular magnetic resonance
dc.subjectGWAS
dc.subjectImage analysis
dc.subjectImaging-genetics
dc.subjectLVH
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1186/1532-429X-16-16
dc.description.sourcetitleJournal of Cardiovascular Magnetic Resonance
dc.description.volume16
dc.description.issue1
dc.description.page16
dc.description.codenJCMRF
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