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Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

Left ventricular (LV) mass and volume are important indicators of clinical and pre-clinical disease processes. However, much of the shape information present in modern imaging examinations is currently ignored. Morphometric atlases enable precise quantification of shape and function, but there has b...

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Autores principales: Gilbert, Kathleen, Bai, Wenjia, Mauger, Charlene, Medrano-Gracia, Pau, Suinesiaputra, Avan, Lee, Aaron M., Sanghvi, Mihir M., Aung, Nay, Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Rueckert, Daniel, Young, Alistair A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362245/
https://www.ncbi.nlm.nih.gov/pubmed/30718635
http://dx.doi.org/10.1038/s41598-018-37916-6
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author Gilbert, Kathleen
Bai, Wenjia
Mauger, Charlene
Medrano-Gracia, Pau
Suinesiaputra, Avan
Lee, Aaron M.
Sanghvi, Mihir M.
Aung, Nay
Piechnik, Stefan K.
Neubauer, Stefan
Petersen, Steffen E.
Rueckert, Daniel
Young, Alistair A.
author_facet Gilbert, Kathleen
Bai, Wenjia
Mauger, Charlene
Medrano-Gracia, Pau
Suinesiaputra, Avan
Lee, Aaron M.
Sanghvi, Mihir M.
Aung, Nay
Piechnik, Stefan K.
Neubauer, Stefan
Petersen, Steffen E.
Rueckert, Daniel
Young, Alistair A.
author_sort Gilbert, Kathleen
collection PubMed
description Left ventricular (LV) mass and volume are important indicators of clinical and pre-clinical disease processes. However, much of the shape information present in modern imaging examinations is currently ignored. Morphometric atlases enable precise quantification of shape and function, but there has been no objective comparison of different atlases in the same cohort. We compared two independent LV atlases using MRI scans of 4547 UK Biobank participants: (i) a volume atlas derived by automatic non-rigid registration of image volumes to a common template, and (ii) a surface atlas derived from manually drawn epicardial and endocardial surface contours. The strength of associations between atlas principal components and cardiovascular risk factors (smoking, diabetes, high blood pressure, high cholesterol and angina) were quantified with logistic regression models and five-fold cross validation, using area under the ROC curve (AUC) and Akaike Information Criterion (AIC) metrics. Both atlases exhibited similar principal components, showed similar relationships with risk factors, and had stronger associations (higher AUC and lower AIC) than a reference model based on LV mass and volume, for all risk factors (DeLong p < 0.05). Morphometric variations associated with each risk factor could be quantified and visualized and were similar between atlases. UK Biobank LV shape atlases are robust to construction method and show stronger relationships with cardiovascular risk factors than mass and volume.
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spelling pubmed-63622452019-02-06 Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study Gilbert, Kathleen Bai, Wenjia Mauger, Charlene Medrano-Gracia, Pau Suinesiaputra, Avan Lee, Aaron M. Sanghvi, Mihir M. Aung, Nay Piechnik, Stefan K. Neubauer, Stefan Petersen, Steffen E. Rueckert, Daniel Young, Alistair A. Sci Rep Article Left ventricular (LV) mass and volume are important indicators of clinical and pre-clinical disease processes. However, much of the shape information present in modern imaging examinations is currently ignored. Morphometric atlases enable precise quantification of shape and function, but there has been no objective comparison of different atlases in the same cohort. We compared two independent LV atlases using MRI scans of 4547 UK Biobank participants: (i) a volume atlas derived by automatic non-rigid registration of image volumes to a common template, and (ii) a surface atlas derived from manually drawn epicardial and endocardial surface contours. The strength of associations between atlas principal components and cardiovascular risk factors (smoking, diabetes, high blood pressure, high cholesterol and angina) were quantified with logistic regression models and five-fold cross validation, using area under the ROC curve (AUC) and Akaike Information Criterion (AIC) metrics. Both atlases exhibited similar principal components, showed similar relationships with risk factors, and had stronger associations (higher AUC and lower AIC) than a reference model based on LV mass and volume, for all risk factors (DeLong p < 0.05). Morphometric variations associated with each risk factor could be quantified and visualized and were similar between atlases. UK Biobank LV shape atlases are robust to construction method and show stronger relationships with cardiovascular risk factors than mass and volume. Nature Publishing Group UK 2019-02-04 /pmc/articles/PMC6362245/ /pubmed/30718635 http://dx.doi.org/10.1038/s41598-018-37916-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gilbert, Kathleen
Bai, Wenjia
Mauger, Charlene
Medrano-Gracia, Pau
Suinesiaputra, Avan
Lee, Aaron M.
Sanghvi, Mihir M.
Aung, Nay
Piechnik, Stefan K.
Neubauer, Stefan
Petersen, Steffen E.
Rueckert, Daniel
Young, Alistair A.
Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title_full Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title_fullStr Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title_full_unstemmed Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title_short Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study
title_sort independent left ventricular morphometric atlases show consistent relationships with cardiovascular risk factors: a uk biobank study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362245/
https://www.ncbi.nlm.nih.gov/pubmed/30718635
http://dx.doi.org/10.1038/s41598-018-37916-6
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