Abstract 153: Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy

Abstract 153: Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy

Introduction Difficult or impossible femoral access remains a significant burden for mechanical thrombectomy (MT) in stroke, affecting between 4.4% (impossible) to ∼10% of cases (time to first angiography [T1A] > 30 min) [1]. Visualization of CT angiography (CTA) or MR angiography are the only av...

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Main Authors: Pere Canals, Manuel Requena, Álvaro García‐Tornel, Marc Molina, Alejandro Tomasello, Jiahui Li, Simone Balocco, Oliver Díaz, Marc Ribó
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Stroke: Vascular and Interventional Neurology
Online Access:https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_2.153
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https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_2.153

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