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ABSTRACT: Purpose
To develop and validate a CT diagnostic algorithm for bicuspid aortic valve (BAV) classification.Materials and methods
This retrospective study included 212 consecutive patients with severe aortic stenosis who underwent CT followed by aortic valve replacement (mean age, 71 years [range, 27-93 years]; 125 women; 37% with a BAV) from 2012 to 2017. BAV diagnosis and BAV category were determined by using the CT diagnostic algorithm developed and were compared with those attained through surgical diagnosis. Reproducibility and agreement were assessed using the Cohen kappa (κ) coefficient. The value of adding CT to age, aortic diameter index, and transthoracic echocardiography (TTE) was evaluated by using the area under the receiver operating characteristic curve (AUC), n
SUBMITTER: Takagi H
PROVIDER: S-EPMC7977746 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature