{"title":"合成 FLAIR 替代 FLAIR 序列用于急性缺血性中风的多中心验证。","authors":"Guillaume Hamon, Laurence Legrand, Ghazi Hmeydia, Guillaume Turc, Wagih Ben Hassen, Sylvain Charron, Clement Debacker, Olivier Naggara, Bertrand Thirion, Bailiang Chen, Bertrand Lapergue, Catherine Oppenheim, Joseph Benzakoun","doi":"10.1177/23969873241263418","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate performance of synthetic and real FLAIR for identifying early stroke in a multicenter cohort.</p><p><strong>Methods: </strong>This retrospective study was conducted using DWI and FLAIR extracted from the Endovascular Treatment in Ischemic Stroke image registry (2017-2021). The database was partitioned into subsets according to MRI field strength and manufacturer, and randomly divided into training set (70%) used for model fine-tuning, validation set (15%), and test set (15%). In test set, five readers, blinded to FLAIR sequence type, assessed DWI-FLAIR mismatch using real and synthetic FLAIR. Interobserver agreement for DWI-FLAIR rating and concordance between synthetic and real FLAIR were evaluated with kappa statistics. Sensitivity and specificity for identification of ⩽4.5 h AIS were compared in patients with known onset-to-MRI delay using McNemar's test.</p><p><strong>Results: </strong>1454 complete MRI sets (1172 patients, median (IQR) age: 73 years (62-82); 762 women) acquired on 125 MRI units were analyzed. In test set (207 MRI), interobserver reproducibility for DWI-FLAIR mismatch labeling was substantial for real and synthetic FLAIR (Fleiss κ = 0.79 (95%CI: 0.73-0.84) and 0.77 (95%CI: 0.71-0.82), respectively). After consensus, concordance between real and synthetic FLAIR was excellent (κ = 0.85 (95%CI: 0.78-0.92)). In 141 MRI sets with known onset-to-MRI delay, diagnostic performances for ⩽4.5 h AIS identification did not differ between real and synthetic FLAIR (sensitivity: 60/71 (85%) vs 59/71 (83%), <i>p</i> = .56; specificity: 65/70 (93%) vs 65/70 (93%), <i>p</i> > 0.99).</p><p><strong>Conclusion: </strong>A deep-learning-based FLAIR fine-tuned on multicenter data can provide comparable performances to real FLAIR for early AIS identification. This approach may help reducing MR protocol duration and motion artifacts.</p>","PeriodicalId":46821,"journal":{"name":"European Stroke Journal","volume":null,"pages":null},"PeriodicalIF":5.8000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multicenter validation of synthetic FLAIR as a substitute for FLAIR sequence in acute ischemic stroke.\",\"authors\":\"Guillaume Hamon, Laurence Legrand, Ghazi Hmeydia, Guillaume Turc, Wagih Ben Hassen, Sylvain Charron, Clement Debacker, Olivier Naggara, Bertrand Thirion, Bailiang Chen, Bertrand Lapergue, Catherine Oppenheim, Joseph Benzakoun\",\"doi\":\"10.1177/23969873241263418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To evaluate performance of synthetic and real FLAIR for identifying early stroke in a multicenter cohort.</p><p><strong>Methods: </strong>This retrospective study was conducted using DWI and FLAIR extracted from the Endovascular Treatment in Ischemic Stroke image registry (2017-2021). The database was partitioned into subsets according to MRI field strength and manufacturer, and randomly divided into training set (70%) used for model fine-tuning, validation set (15%), and test set (15%). In test set, five readers, blinded to FLAIR sequence type, assessed DWI-FLAIR mismatch using real and synthetic FLAIR. Interobserver agreement for DWI-FLAIR rating and concordance between synthetic and real FLAIR were evaluated with kappa statistics. Sensitivity and specificity for identification of ⩽4.5 h AIS were compared in patients with known onset-to-MRI delay using McNemar's test.</p><p><strong>Results: </strong>1454 complete MRI sets (1172 patients, median (IQR) age: 73 years (62-82); 762 women) acquired on 125 MRI units were analyzed. In test set (207 MRI), interobserver reproducibility for DWI-FLAIR mismatch labeling was substantial for real and synthetic FLAIR (Fleiss κ = 0.79 (95%CI: 0.73-0.84) and 0.77 (95%CI: 0.71-0.82), respectively). After consensus, concordance between real and synthetic FLAIR was excellent (κ = 0.85 (95%CI: 0.78-0.92)). In 141 MRI sets with known onset-to-MRI delay, diagnostic performances for ⩽4.5 h AIS identification did not differ between real and synthetic FLAIR (sensitivity: 60/71 (85%) vs 59/71 (83%), <i>p</i> = .56; specificity: 65/70 (93%) vs 65/70 (93%), <i>p</i> > 0.99).</p><p><strong>Conclusion: </strong>A deep-learning-based FLAIR fine-tuned on multicenter data can provide comparable performances to real FLAIR for early AIS identification. This approach may help reducing MR protocol duration and motion artifacts.</p>\",\"PeriodicalId\":46821,\"journal\":{\"name\":\"European Stroke Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Stroke Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/23969873241263418\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Stroke Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/23969873241263418","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Multicenter validation of synthetic FLAIR as a substitute for FLAIR sequence in acute ischemic stroke.
Purpose: To evaluate performance of synthetic and real FLAIR for identifying early stroke in a multicenter cohort.
Methods: This retrospective study was conducted using DWI and FLAIR extracted from the Endovascular Treatment in Ischemic Stroke image registry (2017-2021). The database was partitioned into subsets according to MRI field strength and manufacturer, and randomly divided into training set (70%) used for model fine-tuning, validation set (15%), and test set (15%). In test set, five readers, blinded to FLAIR sequence type, assessed DWI-FLAIR mismatch using real and synthetic FLAIR. Interobserver agreement for DWI-FLAIR rating and concordance between synthetic and real FLAIR were evaluated with kappa statistics. Sensitivity and specificity for identification of ⩽4.5 h AIS were compared in patients with known onset-to-MRI delay using McNemar's test.
Results: 1454 complete MRI sets (1172 patients, median (IQR) age: 73 years (62-82); 762 women) acquired on 125 MRI units were analyzed. In test set (207 MRI), interobserver reproducibility for DWI-FLAIR mismatch labeling was substantial for real and synthetic FLAIR (Fleiss κ = 0.79 (95%CI: 0.73-0.84) and 0.77 (95%CI: 0.71-0.82), respectively). After consensus, concordance between real and synthetic FLAIR was excellent (κ = 0.85 (95%CI: 0.78-0.92)). In 141 MRI sets with known onset-to-MRI delay, diagnostic performances for ⩽4.5 h AIS identification did not differ between real and synthetic FLAIR (sensitivity: 60/71 (85%) vs 59/71 (83%), p = .56; specificity: 65/70 (93%) vs 65/70 (93%), p > 0.99).
Conclusion: A deep-learning-based FLAIR fine-tuned on multicenter data can provide comparable performances to real FLAIR for early AIS identification. This approach may help reducing MR protocol duration and motion artifacts.
期刊介绍：
Launched in 2016 the European Stroke Journal (ESJ) is the official journal of the European Stroke Organisation (ESO), a professional non-profit organization with over 1,400 individual members, and affiliations to numerous related national and international societies. ESJ covers clinical stroke research from all fields, including clinical trials, epidemiology, primary and secondary prevention, diagnosis, acute and post-acute management, guidelines, translation of experimental findings into clinical practice, rehabilitation, organisation of stroke care, and societal impact. It is open to authors from all relevant medical and health professions. Article types include review articles, original research, protocols, guidelines, editorials and letters to the Editor. Through ESJ, authors and researchers have gained a new platform for the rapid and professional publication of peer reviewed scientific material of the highest standards; publication in ESJ is highly competitive. The journal and its editorial team has developed excellent cooperation with sister organisations such as the World Stroke Organisation and the International Journal of Stroke, and the American Heart Organization/American Stroke Association and the journal Stroke. ESJ is fully peer-reviewed and is a member of the Committee on Publication Ethics (COPE). Issues are published 4 times a year (March, June, September and December) and articles are published OnlineFirst prior to issue publication.
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