Estimation of Acute Infarct Core and Hypoperfused Region from Baseline Noncontrast Computed Tomography and Computed Tomography Angiography Scans of Patients with Ischemic Stroke.

ABSTRACT:

Background

In acute ischemic stroke, the infarct core and hypoperfused regions are key indicators for assessing and prognosticating patients. They are typically estimated with computed tomography perfusion (CTP). However, because noncontrast CT and CT angiography are more widely available, we trained a neural network to estimate the ischemic lesion from noncontrast CT and CT angiography scans.

Methods

In this retrospective study, an nnU-Net model was trained to estimate infarcted and hypoperfused regions from noncontrast CT and CT angiography using reference standards from a commercial CTP software (StrokeViewer). We included data from 859 patients for training and 137 for testing. We used data from the Collaboration for New Treatments of Acute Stroke consortium, including M

SUBMITTER: Mojtahedi M 

PROVIDER: S-EPMC12697606 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature