Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank

The associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of the right ventricle (RV) and left ventricle (LV) have been difficult to assess, due to subtle and complex shape changes. We sought to quantify reference RV morphology as well as biventricular variati...

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Veröffentlicht in:Journal of cardiovascular magnetic resonance 2019-07, Vol.21 (1), p.41-41, Article 41
Hauptverfasser: Mauger, Charlène, Gilbert, Kathleen, Lee, Aaron M, Sanghvi, Mihir M, Aung, Nay, Fung, Kenneth, Carapella, Valentina, Piechnik, Stefan K, Neubauer, Stefan, Petersen, Steffen E, Suinesiaputra, Avan, Young, Alistair A
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Sprache:eng
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Zusammenfassung:The associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of the right ventricle (RV) and left ventricle (LV) have been difficult to assess, due to subtle and complex shape changes. We sought to quantify reference RV morphology as well as biventricular variations associated with common cardiovascular risk factors. A biventricular shape atlas was automatically constructed using contours and landmarks from 4329 UK Biobank cardiovascular magnetic resonance (CMR) studies. A subdivision surface geometric mesh was customized to the contours using a diffeomorphic registration algorithm, with automatic correction of slice shifts due to differences in breath-hold position. A reference sub-cohort was identified consisting of 630 participants with no CVD risk factors. Morphometric scores were computed using linear regression to quantify shape variations associated with four risk factors (high cholesterol, high blood pressure, obesity and smoking) and three disease factors (diabetes, previous myocardial infarction and angina). The atlas construction led to an accurate representation of 3D shapes at end-diastole and end-systole, with acceptable fitting errors between surfaces and contours (average error less than 1.5 mm). Atlas shape features had stronger associations than traditional mass and volume measures for all factors (p 
ISSN:1097-6647
1532-429X
DOI:10.1186/s12968-019-0551-6