A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scansCentral MessagePerspective

A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scansCentral MessagePerspective

Objective: Hypoattenuated leaflet thickening (HALT) is a computed tomography (CT) finding after transcatheter aortic valve replacement (TAVR) that is indicative of bioprosthetic valvular thrombosis. There are currently no standardized or validated methods for predicting HALT, which can cause biopros...

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Main Authors: Aniket Venkatesh, MS, Fateme Esmailie, PhD, Noah Tregobov, BSc, Hoda Hatoum, PhD, Breandan Yeats, PhD, Huang Chen, PhD, Beom Jun Lee, MS, Philipp Ruile, MD, Franz-Josef Neumann, MD, Philipp Blanke, MD, Jonathon Leipsic, MD, Gaurav Gulsin, MD, Vinod Thourani, MD, David Meier, MD, Lakshmi Prasad Dasi, PhD, Stephanie L. Sellers, PhD
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:JTCVS Structural and Endovascular
Subjects:
transcatheter aortic valve implantation/replacement
thrombosis
hypoattenuated leaflet thickening
machine learning
computed tomography
reduced order modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S295060502400041X
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