Back to search

Article

Automated Prediction of Ischemic Brain Tissue Fate from Multi-Phase CT-Angiography in Patients with Acute Ischemic Stroke Using Machine Learning

2020-05-19

Abstract excerpt

<h4>Background: </h4> Multiphase CT-Angiography (mCTA) provides time variant images of the pial vasculature supplying brain in patients with acute ischemic stroke (AIS). To develop a machine learning (ML) technique to predict infarct, penumbra and tissue perfusion from mCTA source images. <h4>Methods:</h4> 284 patients with AIS were included from the PRoveIT study. All patients had non-contrast CT, mCTA and CTP im...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7295fe04-ce0a-53cc-927d-e934caa7d1e1
DOI
10.1101/2020.05.14.20101014
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Automated Prediction of Ischemic Brain Tissue Fate from Multi-Phase CT-Angiography in Patients with Acute Ischemic Stroke Using Machine LearningDOI 10.1101/2020.05.14.20101014
Select a neighboring publication to make it the new centre.