Prediction of Infarct Growth Based on Apparent Diffusion Coefficients: Penumbral Assessment without Intravenous Contrast Material-Reference-Cited by-同舟云学术

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Prediction of Infarct Growth Based on Apparent Diffusion Coefficients: Penumbral Assessment without Intravenous Contrast Material

Published:2009-01 Issue:1 Volume:250 Page:184-192
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Rosso Charlotte,Hevia-Montiel Nidiyare,Deltour Sandrine,Bardinet Eric,Dormont Didier,Crozier Sophie,Baillet Sylvain,Samson Yves

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2493080107

Reference35 articles.

1. Expanding the Window for Thrombolytic Therapy in Acute Stroke

2. Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study

3. Proof-of-Principle Phase II MRI Studies in Stroke

4. The Use of PWI and DWI Measures in the Design of “Proof-of-Concept” Stroke Trials

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1. Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning;Radiology;2023-04-01

2. Diffusion-weighted Imaging and Arterial Spin Labeling for Prediction of Cerebral Infarct Volume in Acute Atherothrombotic Stroke;Current Medical Imaging Reviews;2023-03

3. Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network;NeuroImage: Clinical;2023

4. Diffusion-Weighted Imaging-Alone Endovascular Thrombectomy Triage in Acute Stroke: Simulating Diffusion-Perfusion Mismatch Using Machine Learning;Journal of Stroke;2022-01-31

5. Novel Estimation of Penumbra Zone Based on Infarct Growth Using Machine Learning Techniques in Acute Ischemic Stroke;Journal of Clinical Medicine;2020-06-24

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