Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm

Acute Infarct Core Volume Estimation on Noncontrast Computed Tomography With a Deep Learning Algorithm

Background A simplified patient selection paradigm with noncontrast computed tomography (NCCT) can reduce the time to reperfusion and widen the eligibility of acute ischemic stroke large vessel occlusions (LVOs) for endovascular therapy. The objectives of this article are (1) to develop, train, and...

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Bibliographic Details
Main Authors: Santiago Ortega‐Gutierrez, Juan Vivanco‐Suarez, Aaron Rodriguez‐Calienes, Victor Salvia, Milagros Galecio‐Castillo, Mahmoud Dibas, Yujing Lu, Alba Garcia Rey, Cristian Marti, Leonardo Tanzi, Maria Hernandez‐Perez, Tudor Jovin, Marc Ribo
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Stroke: Vascular and Interventional Neurology
Subjects:
computed tomography
infarct
machine learning
radiographic imaging
software
stroke
Online Access:https://www.ahajournals.org/doi/10.1161/SVIN.124.001509
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https://www.ahajournals.org/doi/10.1161/SVIN.124.001509

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