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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Hauptverfasser:	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:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-03-01
Schriftenreihe:	JTCVS Structural and Endovascular
Schlagworte:	transcatheter aortic valve implantation/replacement thrombosis hypoattenuated leaflet thickening machine learning computed tomography reduced order modeling
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S295060502400041X
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