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• W3001429907 abstract "<h2>Abstract</h2><h3>Background</h3> No indication are available for transcatheter aortic valve implantation (TAVI) sizing in bicuspid aortic valve (BAV). Aim of the study is to develop and validate a Multi-Slice Computed Tomography (MSCT)-based algorithm for transcatheter heart valve (THV) sizing in patients with stenotic BAV under evaluation for TAVI. <h3>Methods</h3> A two steps method was applied: 1)evaluation of a cohort of 19 consecutive patients with type I BAV stenosis undergoing TAVI through pre and post-procedural MSCT, and development of an algorithm for THV sizing; 2)validation of the algorithm on a new cohort of 21 patients. <h3>Results</h3> In the first cohort, a high correlation was found between the raphe-level area measured at pre-procedural MSCT and the smallest THV area measured at post-procedural MSCT (p < 0.001). Moreover, reduced THV expansion was observed among patients with higher calcium burden (p = 0.048). Then, a new algorithm for TAVI sizing in BAV was develop (<b>CASPER</b>: Calcium Algorithm Sizing for bicusPid Evaluation with Raphe). This algorithm is based on the reassessment of the perimeter/area derived annulus diameter, according to three main anatomical features: 1) the ratio between raphe length and annulus diameter; 2)calcium burden; 3)calcium distribution in relation to the raphe. The algorithm was then validated in a new cohort of 21 patients, achieving 100% of procedural success and excellent TAVI performance. <h3>Conclusion</h3> MSCT assessment of raphe length, calcium burden and its distribution is of crucial relevance in the pre-procedural evaluation of patients with BAV. These anatomical features can be combined in a new and simple algorithm for TAVI sizing." @default.
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• W3001429907 date "2020-09-01" @default.
• W3001429907 modified "2023-10-11" @default.
• W3001429907 title "Bicuspid aortic valve sizing for transcatheter aortic valve implantation: Development and validation of an algorithm based on multi-slice computed tomography" @default.
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• W3001429907 doi "https://doi.org/10.1016/j.jcct.2020.01.007" @default.
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