Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank
Abstract Background 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 b...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-07-01
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| Series: | Journal of Cardiovascular Magnetic Resonance |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12968-019-0551-6 |
| _version_ | 1827279524748853248 |
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| author | Charlène Mauger Kathleen Gilbert Aaron M. Lee Mihir M. Sanghvi Nay Aung Kenneth Fung Valentina Carapella Stefan K. Piechnik Stefan Neubauer Steffen E. Petersen Avan Suinesiaputra Alistair A. Young |
| author_facet | Charlène Mauger Kathleen Gilbert Aaron M. Lee Mihir M. Sanghvi Nay Aung Kenneth Fung Valentina Carapella Stefan K. Piechnik Stefan Neubauer Steffen E. Petersen Avan Suinesiaputra Alistair A. Young |
| author_sort | Charlène Mauger |
| collection | DOAJ |
| description | Abstract Background 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. Methods 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). Results 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 < 0.005 for each). High blood pressure was associated with outward displacement of the LV free walls, but inward displacement of the RV free wall and thickening of the septum. Smoking was associated with a rounder RV with inward displacement of the RV free wall and increased relative wall thickness. Conclusion Morphometric relationships between biventricular shape and cardiovascular risk factors in a large cohort show complex interactions between RV and LV morphology. These can be quantified by z-scores, which can be used to study the morphological correlates of disease. |
| first_indexed | 2024-04-24T08:20:25Z |
| format | Article |
| id | doaj.art-6b93b6698c604bbfb2022e2bf1c52709 |
| institution | Directory Open Access Journal |
| issn | 1532-429X |
| language | English |
| last_indexed | 2024-04-24T08:20:25Z |
| publishDate | 2019-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Cardiovascular Magnetic Resonance |
| spelling | doaj.art-6b93b6698c604bbfb2022e2bf1c527092024-04-17T01:27:11ZengElsevierJournal of Cardiovascular Magnetic Resonance1532-429X2019-07-0121111310.1186/s12968-019-0551-6Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK BiobankCharlène Mauger0Kathleen Gilbert1Aaron M. Lee2Mihir M. Sanghvi3Nay Aung4Kenneth Fung5Valentina Carapella6Stefan K. Piechnik7Stefan Neubauer8Steffen E. Petersen9Avan Suinesiaputra10Alistair A. Young11Department of Anatomy and Medical Imaging, University of AucklandDepartment of Anatomy and Medical Imaging, University of AucklandWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of LondonWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of LondonWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of LondonWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of LondonOxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of OxfordOxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of OxfordOxford NIHR Biomedical Research Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of OxfordWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of LondonDepartment of Anatomy and Medical Imaging, University of AucklandDepartment of Anatomy and Medical Imaging, University of AucklandAbstract Background 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. Methods 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). Results 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 < 0.005 for each). High blood pressure was associated with outward displacement of the LV free walls, but inward displacement of the RV free wall and thickening of the septum. Smoking was associated with a rounder RV with inward displacement of the RV free wall and increased relative wall thickness. Conclusion Morphometric relationships between biventricular shape and cardiovascular risk factors in a large cohort show complex interactions between RV and LV morphology. These can be quantified by z-scores, which can be used to study the morphological correlates of disease.http://link.springer.com/article/10.1186/s12968-019-0551-6Cardiovascular magnetic resonanceVentricular functionAtlasesUK biobank |
| spellingShingle | Charlène Mauger Kathleen Gilbert Aaron M. Lee Mihir M. Sanghvi Nay Aung Kenneth Fung Valentina Carapella Stefan K. Piechnik Stefan Neubauer Steffen E. Petersen Avan Suinesiaputra Alistair A. Young Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank Journal of Cardiovascular Magnetic Resonance Cardiovascular magnetic resonance Ventricular function Atlases UK biobank |
| title | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank |
| title_full | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank |
| title_fullStr | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank |
| title_full_unstemmed | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank |
| title_short | Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank |
| title_sort | right ventricular shape and function cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in uk biobank |
| topic | Cardiovascular magnetic resonance Ventricular function Atlases UK biobank |
| url | http://link.springer.com/article/10.1186/s12968-019-0551-6 |
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