{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T10:52:04Z","timestamp":1785927124397,"version":"3.56.0"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Acute ischemic stroke (AIS) is a leading cause of mortality and morbidity worldwide. This study explores the potential of using carotid duplex ultrasound (CDU) radiomics to predict outcomes in AIS patients, enhancing prognostic assessments through advanced imaging technologies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We enrolled 105 AIS patients at the Stroke Center of the First Affiliated Hospital of Soochow University. CDU images were obtained and processed using artificial intelligence to extract 1,477 radiomic features. Key features were identified and used to develop a predictive model for patient outcomes 3 months post-stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The developed predictive model demonstrated high accuracy and clinical utility, confirmed by decision curve analysis. Inter-observer reliability was excellent, with a Cohen\u2019s kappa coefficient of 0.93, indicating consistent assessments of plaque vulnerability across different observers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Carotid duplex ultrasound radiomics significantly enhances the ability to predict adverse outcomes in AIS, offering a precision-based approach that supports personalized management strategies. It could improve clinical outcomes by allowing targeted interventions based on specific radiomic profiles.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2026.1878428","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T10:42:30Z","timestamp":1785926550000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Advanced radiomics techniques applied on carotid duplex ultrasound data predict adverse outcomes in acute ischemic stroke"],"prefix":"10.3389","volume":"17","author":[{"given":"Lianlian","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People\u2019s Hospital of Yancheng","place":["Yancheng, Jiangsu, China"]},{"name":"Department of Stroke Center, The First Affiliated Hospital of Soochow University","place":["Suzhou, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiyan","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People\u2019s Hospital of Yancheng","place":["Yancheng, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lizhu","family":"Miao","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People\u2019s Hospital of Yancheng","place":["Yancheng, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People\u2019s Hospital of Yancheng","place":["Yancheng, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guofu","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People\u2019s Hospital","place":["Yancheng, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,5]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"105164","DOI":"10.1016\/j.jstrokecerebrovasdis.2020.105164","article-title":"Clinical characteristics and analysis of lung cancer-associated acute ischemic stroke","volume":"29","author":"Zhang","year":"2020","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1016\/s1474-4422(21)00252-0","article-title":"Global, regional, and national burden of stroke and its risk factors, 1990\u20132019: a systematic analysis for the global burden 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