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Sophocleous F, Bône A, Shearn AIU, Forte MNV, Bruse JL, Caputo M, Biglino G. Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease. Comput Biol Med 2022; 144:105326. [PMID: 35245697 DOI: 10.1016/j.compbiomed.2022.105326] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 01/28/2022] [Accepted: 02/14/2022] [Indexed: 12/12/2022]
Abstract
Studying anatomical shape progression over time is of utmost importance to refine our understanding of clinically relevant processes. These include vascular remodeling, such as aortic dilation, which is particularly important in some congenital heart defects (CHD). A novel methodological framework for three-dimensional shape analysis has been applied for the first time in a CHD scenario, i.e., bicuspid aortic valve (BAV) disease, the most common CHD. Three-dimensional aortic shapes (n = 94) reconstructed from cardiovascular magnetic resonance imaging (MRI) data as surface meshes represented the input for a longitudinal atlas model, using multiple scans over time (n = 2-4 per patient). This model relies on diffeomorphism transformations in the absence of point-to-point correspondence, and on the right combination of initialization, estimation and registration parameters. We computed the shape trajectory of an average disease progression in our cohort, as well as time-dependent parameters, geometric variations and the average shape of the population. Results cover a spatiotemporal spectrum of visual and numerical information that can be further used to run clinical associations. This proof-of-concept study demonstrates the feasibility of applying advanced statistical shape models to track disease progression and stratify patients with CHD.
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Affiliation(s)
- Froso Sophocleous
- Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Alexandre Bône
- ARAMIS Lab, ICM, Inserm U1127, CNRS UMR 7225, Sorbonne University, Inria, Paris, France
| | - Andrew I U Shearn
- Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | | | - Jan L Bruse
- Vicomtech Foundation, Basque Research and Technology Alliance BRTA, Mikeletegi 57, 20009, Donostia-San Sebastián, Spain
| | - Massimo Caputo
- Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK; Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Giovanni Biglino
- Bristol Medical School, Faculty of Life Sciences, University of Bristol, Bristol, UK; Bristol Heart Institute, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK; National Heart and Lung Institute, Imperial College London, London, UK.
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Wang J, Deng W, Lv Q, Li Y, Liu T, Xie M. Aortic Dilatation in Patients With Bicuspid Aortic Valve. Front Physiol 2021; 12:615175. [PMID: 34295254 PMCID: PMC8290129 DOI: 10.3389/fphys.2021.615175] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 06/03/2021] [Indexed: 12/16/2022] Open
Abstract
Bicuspid aortic valve (BAV) is the most common congenital cardiac abnormality. BAV aortic dilatation is associated with an increased risk of adverse aortic events and represents a potentially lethal disease and hence a considerable medical burden. BAV with aortic dilatation warrants frequent monitoring, and elective surgical intervention is the only effective method to prevent dissection or rupture. The predictive value of the aortic diameter is known to be limited. The aortic diameter is presently still the main reference standard for surgical intervention owing to the lack of a comprehensive understanding of BAV aortopathy progression. This article provides a brief comprehensive review of the current knowledge on BAV aortopathy regarding clinical definitions, epidemiology, natural course, and pathophysiology, as well as hemodynamic and clinically significant aspects on the basis of the limited data available.
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Affiliation(s)
- Jing Wang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenhui Deng
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qing Lv
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yuman Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Tianshu Liu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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