作者
Joseph Benzakoun, Marc-Antoine Deslys, Laurence Legrand, Ghazi Hmeydia, Guillaume Turc, Wagih Ben Hassen, Sylvain Charron, Clément Debacker, Olivier Naggara, Jean-Claude Baron, Bertrand Thirion, Catherine Oppenheim
发表日期
2022/4
期刊
Radiology
卷号
303
期号
1
页码范围
153-159
出版商
Radiological Society of North America
简介
Background
In acute ischemic stroke (AIS), fluid-attenuated inversion recovery (FLAIR) is used for treatment decisions when onset time is unknown. Synthetic FLAIR could be generated with deep learning from information embedded in diffusion-weighted imaging (DWI) and could replace acquired FLAIR sequence (real FLAIR) and shorten MRI duration.
Purpose
To compare performance of synthetic and real FLAIR for DWI-FLAIR mismatch estimation and identification of patients presenting within 4.5 hours from symptom onset.
Materials and Methods
In this retrospective study, all pretreatment and early follow-up (<48 hours after symptom onset) MRI data sets including …
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