{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T16:36:34Z","timestamp":1791650194564,"version":"4.3.4"},"reference-count":78,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T00:00:00Z","timestamp":1579737600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Neuroradiol J"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:p>Hemorrhagic transformation (HT) is one of the most common adverse events related to acute ischemic stroke (AIS) that affects the treatment plan and clinical outcome. Identification of a sensitive radiological marker may influence the controversial thrombolytic decision in the setting of AIS and may at a minimum indicate more intensive monitoring or further prophylactic interventions. In this article we summarize possible radiological biomarkers and the role of different radiological modalities including computed tomography (CT), magnetic resonance imaging, angiography, and ultrasound in predicting HT. Different radiological indices of early ischemic changes, large ischemic lesion volume, severe blood flow restriction, blood-brain barrier disruption, poor collaterals and high blood flow velocities have been reported to be associated with higher risk of HT. The current levels of evidence of the available studies highlight the role of the different CT perfusion parameters in predicting HT. Further large standardized studies are recommended to compare the sensitivity and specificity of the different radiological markers combined and delineate the most reliable predictor.<\/jats:p>","DOI":"10.1177\/1971400919900275","type":"journal-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T07:02:17Z","timestamp":1579762937000},"page":"118-133","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":33,"title":["Radiological predictors of hemorrhagic transformation after acute ischemic stroke: An evidence-based analysis"],"prefix":"10.1177","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2476-5652","authenticated-orcid":false,"given":"Nada","family":"Elsaid","sequence":"first","affiliation":[{"name":"Department of Neurology, University of Mansoura Faculty of Medicine, 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