Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Amir Hillal"'
Publikováno v:
European Journal of Radiology Open, Vol 12, Iss , Pp 100542- (2024)
Objective: To systematically evaluate the ability of the CINA® LVO software to detect large vessel occlusions eligible for mechanical thrombectomy on CTA using conventional neuroradiological assessment as gold standard. Methods: Retrospectively, two
Externí odkaz:
https://doaj.org/article/650d41338ee2497a8244dcff9e6b6de7
Autor:
Trine Apostolaki-Hansson, Amir Hillal, Nathanael Göransson, Björn M. Hansen, Bo Norrving, Birgitta Ramgren, Johan Wassélius, Teresa Ullberg
Publikováno v:
Frontiers in Stroke, Vol 3 (2024)
ObjectiveFollowing the favorable outcomes demonstrated by the Early MiNimally-invasive Removal of IntraCerebral Hemorrhage (ENRICH) trial in supratentorial intracerebral hemorrhage (ICH) patients treated with minimally invasive surgery (MIS), and con
Externí odkaz:
https://doaj.org/article/41b5feb1455d42c1b97eedd8b65abb97
Autor:
Bradley J. MacIntosh, Qinghui Liu, Till Schellhorn, Mona K. Beyer, Inge Rasmus Groote, Pål C. Morberg, Joshua M. Poulin, Maiken N. Selseth, Ragnhild C. Bakke, Aina Naqvi, Amir Hillal, Teresa Ullberg, Johan Wassélius, Ole M. Rønning, Per Selnes, Espen S. Kristoffersen, Kyrre Eeg Emblem, Karoline Skogen, Else C. Sandset, Atle Bjørnerud
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
IntroductionRadiological assessment is necessary to diagnose spontaneous intracerebral hemorrhage (ICH) and traumatic brain injury intracranial hemorrhage (TBI-bleed). Artificial intelligence (AI) deep learning tools provide a means for decision supp
Externí odkaz:
https://doaj.org/article/2623a5d887dc47b48a11c9d75ae7ecba
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-16 (2022)
Abstract Intracerebral hemorrhage (ICH) accounts for 10–20% of all strokes worldwide and is associated with serious outcomes, including a 30-day mortality rate of up to 40%. Neuroimaging is pivotal in diagnosing ICH as early detection and determina
Externí odkaz:
https://doaj.org/article/cad83502347f4dd88da26ca636a143ef
Autor:
Amir Hillal, Gabriella Sultani, Birgitta Ramgren, Bo Norrving, Johan Wassélius, Teresa Ullberg
Publikováno v:
Neuroradiology.
Purpose Hematoma volume is the strongest predictor of patient outcome after intracerebral hemorrhage (ICH). The aim of this study was to validate novel fully automated software for quantification of ICH volume on non-contrast computed tomography (CT)