Abstract
Background Significant morphological heterogeneity is known to exist among subjects with bicuspid aortic valves (BAV). Accompanying this is the recognition of varied penetrance of phenotypic aortopathy. A genetic contribution possibly influenced by blood flow patterns in the aortic root has been postulated. Current BAV classification schemes do not comprehensively characterize the heterogeneous expression of BAV morphology (Fig 1a). The purpose of this study is to describe a novel comprehensive classification system for BAV morphology in a consecutive cohort of patients referred for evaluation of the thoracic aortic size.
Highlights
Significant morphological heterogeneity is known to exist among subjects with bicuspid aortic valves (BAV)
The purpose of this study is to describe a novel comprehensive classification system for BAV morphology in a consecutive cohort of patients referred for evaluation of the thoracic aortic size
Our results demonstrate a comprehensive, non-invasive MRI-based method to categorize BAV morphology, highlighting the considerable heterogeneity of valve morphology
Summary
Significant morphological heterogeneity is known to exist among subjects with bicuspid aortic valves (BAV). Accompanying this is the recognition of varied penetrance of phenotypic aortopathy. A genetic contribution possibly influenced by blood flow patterns in the aortic root has been postulated. Current BAV classification schemes do not comprehensively characterize the heterogeneous expression of BAV morphology (Fig 1a). The purpose of this study is to describe a novel comprehensive classification system for BAV morphology in a consecutive cohort of patients referred for evaluation of the thoracic aortic size
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