{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T20:34:03Z","timestamp":1774038843422,"version":"3.50.1"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","ejradiology.com","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.ejrad.2024.111456","type":"journal-article","created":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T02:21:13Z","timestamp":1712715673000},"page":"111456","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Elevated cortical blood flow insufficiency volume as a predictor of adverse outcomes in aneurysmal subarachnoid hemorrhage: a large prospective quantitative computed tomography perfusion study"],"prefix":"10.1016","volume":"175","author":[{"given":"Tu","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junlin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runting","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fa","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heze","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanli","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejrad.2024.111456_b0005","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1016\/S0140-6736(22)00938-2","article-title":"Spontaneous subarachnoid haemorrhage","volume":"400","author":"Claassen","year":"2022","journal-title":"Lancet"},{"key":"10.1016\/j.ejrad.2024.111456_b0010","first-page":"e314","article-title":"2023 guideline for the management of patients with aneurysmal subarachnoid hemorrhage: a guideline from the american heart association\/american stroke association","volume":"54","author":"Hoh","year":"2023","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2024.111456_b0015","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1038\/sj.jcbfm.9600283","article-title":"Mechanisms of early brain injury after subarachnoid hemorrhage","volume":"26","author":"Cahill","year":"2006","journal-title":"J. Cereb. Blood Flow Metab."},{"key":"10.1016\/j.ejrad.2024.111456_b0020","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1186\/s13054-016-1193-9","article-title":"The critical care management of poor-grade subarachnoid haemorrhage","volume":"20","author":"de Oliveira Manoel","year":"2016","journal-title":"Crit. Care"},{"key":"10.1016\/j.ejrad.2024.111456_b0025","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1097\/01.WCB.0000125886.48838.7E","article-title":"Signaling pathways for early brain injury after subarachnoid hemorrhage","volume":"24","author":"Kusaka","year":"2004","journal-title":"J. Cereb. Blood Flow Metab."},{"key":"10.1016\/j.ejrad.2024.111456_b0030","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1007\/s12975-013-0257-2","article-title":"Early brain injury, an evolving frontier in subarachnoid hemorrhage research","volume":"4","author":"Fujii","year":"2013","journal-title":"Transl. Stroke Res."},{"key":"10.1016\/j.ejrad.2024.111456_b0035","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1179\/016164106X115008","article-title":"Molecular mechanisms of early brain injury after subarachnoid hemorrhage","volume":"28","author":"Ostrowski","year":"2006","journal-title":"Neurol. Res."},{"key":"10.1016\/j.ejrad.2024.111456_b0040","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.ejrad.2019.05.008","article-title":"Whole-brain CT perfusion on admission predicts delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage","volume":"116","author":"Dong","year":"2019","journal-title":"Eur. J. Radiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0045","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1007\/s00234-015-1529-1","article-title":"Early CT perfusion changes and blood-brain barrier permeability after aneurysmal subarachnoid hemorrhage","volume":"57","author":"Murphy","year":"2015","journal-title":"Neuroradiology"},{"key":"10.1016\/j.ejrad.2024.111456_b0050","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1161\/STROKEAHA.109.574392","article-title":"Diagnostic threshold values of cerebral perfusion measured with computed tomography for delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage","volume":"41","author":"Dankbaar","year":"2010","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2024.111456_b0055","doi-asserted-by":"crossref","first-page":"292","DOI":"10.3174\/ajnr.A3225","article-title":"Evaluating CT perfusion using outcome measures of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage","volume":"34","author":"Sanelli","year":"2013","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0060","doi-asserted-by":"crossref","first-page":"1956","DOI":"10.3174\/ajnr.A7279","article-title":"Impact of implementing an elaborated CT perfusion protocol for aneurysmal SAH on functional outcome: CTP protocol for SAH","volume":"42","author":"Malinova","year":"2021","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0065","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.3174\/ajnr.A7169","article-title":"MTT heterogeneity in perfusion CT imaging as a predictor of outcome after aneurysmal SAH","volume":"42","author":"Hofmann","year":"2021","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0070","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1007\/s12028-020-01108-w","article-title":"Cortical blood flow insufficiency scores with computed tomography perfusion can predict outcomes in aneurysmal subarachnoid hemorrhage patients: a cohort study","volume":"34","author":"Tanabe","year":"2021","journal-title":"Neurocrit. Care"},{"key":"10.1016\/j.ejrad.2024.111456_b0075","doi-asserted-by":"crossref","first-page":"4949","DOI":"10.1007\/s00330-018-5505-0","article-title":"Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission","volume":"28","author":"Rubbert","year":"2018","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0080","doi-asserted-by":"crossref","first-page":"2517","DOI":"10.1007\/s10143-022-01779-3","article-title":"The value of early CT perfusion parameters for predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis","volume":"45","author":"Han","year":"2022","journal-title":"Neurosurg. Rev."},{"key":"10.1016\/j.ejrad.2024.111456_b0085","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.3174\/ajnr.A4363","article-title":"Performance and predictive value of a user-independent platform for CT perfusion analysis: threshold-derived automated systems outperform examiner-driven approaches in outcome prediction of acute ischemic stroke","volume":"36","author":"Dehkharghani","year":"2015","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0090","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.1016\/S0140-6736(07)61602-X","article-title":"The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies","volume":"370","author":"von Elm","year":"2007","journal-title":"Lancet"},{"key":"10.1016\/j.ejrad.2024.111456_b0095","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1097\/00006123-199707000-00029","article-title":"A new subarachnoid hemorrhage grading system based on the glasgow coma scale: a comparison with the hunt and hess and world federation of neurological surgeons scales in a clinical series","volume":"41","author":"Oshiro","year":"1997","journal-title":"Neurosurgery"},{"key":"10.1016\/j.ejrad.2024.111456_b0100","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1093\/neuros\/nyx364","article-title":"The Subarachnoid hemorrhage early brain edema score predicts delayed cerebral ischemia and clinical outcomes","volume":"83","author":"Ahn","year":"2018","journal-title":"Neurosurgery"},{"key":"10.1016\/j.ejrad.2024.111456_b0105","first-page":"21","article-title":"Prediction of symptomatic vasospasm after subarachnoid hemorrhage: the modified fisher scale","volume":"59","author":"Frontera","year":"2006","journal-title":"Neurosurgery"},{"key":"10.1016\/j.ejrad.2024.111456_b0110","doi-asserted-by":"crossref","first-page":"2391","DOI":"10.1161\/STROKEAHA.110.589275","article-title":"Definition of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage as an outcome event in clinical trials and observational studies: proposal of a multidisciplinary research group","volume":"41","author":"Vergouwen","year":"2010","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2024.111456_b0115","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1093\/eurheartj\/ehab600","article-title":"Atherothrombotic factors and atherosclerotic cardiovascular events: the multi-ethnic study of atherosclerosis","volume":"43","author":"DeFilippis","year":"2022","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.ejrad.2024.111456_b0120","doi-asserted-by":"crossref","first-page":"3566","DOI":"10.1200\/JCO.2016.70.7794","article-title":"Effect of comorbidity on prostate cancer-specific mortality: a prospective observational study","volume":"35","author":"Rajan","year":"2017","journal-title":"J. Clini. Oncol.: Official Journal of the American Society of Clinical Oncology."},{"key":"10.1016\/j.ejrad.2024.111456_b0125","doi-asserted-by":"crossref","first-page":"3388","DOI":"10.1002\/sim.5753","article-title":"A tutorial on propensity score estimation for multiple treatments using generalized boosted models","volume":"32","author":"McCaffrey","year":"2013","journal-title":"Stat. Med."},{"key":"10.1016\/j.ejrad.2024.111456_b0130","doi-asserted-by":"crossref","first-page":"3083","DOI":"10.1002\/sim.3697","article-title":"Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples","volume":"28","author":"Austin","year":"2009","journal-title":"Stat. Med."},{"key":"10.1016\/j.ejrad.2024.111456_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v048.i02","article-title":"lavaan: an R package for structural equation modeling","volume":"48","author":"Rosseel","year":"2012","journal-title":"J. Statist. Software"},{"key":"10.1016\/j.ejrad.2024.111456_b0140","doi-asserted-by":"crossref","first-page":"e0190811","DOI":"10.1371\/journal.pone.0190811","article-title":"The ratio between cerebral blood flow and tmax predicts the quality of collaterals in acute ischemic stroke","volume":"13","author":"Galinovic","year":"2018","journal-title":"PLoS One."},{"key":"10.1016\/j.ejrad.2024.111456_b0145","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1007\/s00330-016-4415-2","article-title":"A novel method to assess pial collateralization from stroke perfusion MRI: subdividing T(max) into anatomical compartments","volume":"27","author":"Potreck","year":"2017","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0150","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1161\/STROKEAHA.110.580670","article-title":"The physiological significance of the time-to-maximum (Tmax) parameter in perfusion MRI","volume":"41","author":"Calamante","year":"2010","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2024.111456_b0155","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1177\/0284185119858701","article-title":"Temporal evolution of cerebral computed tomography perfusion after acute subarachnoid hemorrhage: a prospective cohort study","volume":"61","author":"Fragata","year":"2020","journal-title":"Acta Radiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0160","doi-asserted-by":"crossref","first-page":"2506","DOI":"10.1161\/01.STR.0000144654.79393.cf","article-title":"Early vasospasm on admission angiography in patients with aneurysmal subarachnoid hemorrhage is a predictor for in-hospital complications and poor outcome","volume":"35","author":"Baldwin","year":"2004","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2024.111456_b0165","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.jstrokecerebrovasdis.2016.09.004","article-title":"Computed tomography perfusion deficits during the baseline period in aneurysmal subarachnoid hemorrhage are predictive of delayed cerebral ischemia","volume":"26","author":"Duan","year":"2017","journal-title":"J. Stroke Cerebrovasc. Dis."},{"key":"10.1016\/j.ejrad.2024.111456_b0170","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10143-012-0430-1","article-title":"The value of perfusion computed tomography in predicting clinically relevant vasospasm in patients with aneurysmal subarachnoid hemorrhage","volume":"36","author":"Hickmann","year":"2013","journal-title":"Neurosurg. Rev."},{"key":"10.1016\/j.ejrad.2024.111456_b0175","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1007\/s00330-015-4135-z","article-title":"Early quantitative CT perfusion parameters variation for prediction of delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage","volume":"26","author":"Rodriguez-R\u00e9gent","year":"2016","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0180","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1007\/s10143-020-01322-2","article-title":"Optimal intracranial pressure in patients with aneurysmal subarachnoid hemorrhage treated with coiling and requiring external ventricular drainage","volume":"44","author":"Cagnazzo","year":"2021","journal-title":"Neurosurg. Rev."},{"key":"10.1016\/j.ejrad.2024.111456_b0185","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1136\/neurintsurg-2020-015966","article-title":"Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of sphere, vitrea, and RAPID","volume":"13","author":"Rava","year":"2021","journal-title":"J. Neurointerv. Surg."},{"key":"10.1016\/j.ejrad.2024.111456_b0190","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3174\/ajnr.A6395","article-title":"Assessment of a bayesian vitrea CT perfusion analysis to predict final Infarct and penumbra volumes in patients with acute ischemic stroke: a comparison with RAPID","volume":"41","author":"Rava","year":"2020","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"10.1016\/j.ejrad.2024.111456_b0195","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1186\/s13054-016-1447-6","article-title":"Management of delayed cerebral ischemia after subarachnoid hemorrhage","volume":"20","author":"Francoeur","year":"2016","journal-title":"Crit. Care"},{"key":"10.1016\/j.ejrad.2024.111456_b0200","doi-asserted-by":"crossref","first-page":"233","DOI":"10.25259\/SNI_14_2020","article-title":"Computed tomography perfusion imaging after aneurysmal subarachnoid hemorrhage can detect cerebral vasospasm and predict delayed cerebral ischemia after endovascular treatment","volume":"11","author":"Omoto","year":"2020","journal-title":"Surg. Neurol. Int."}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X24001724?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X24001724?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T15:21:26Z","timestamp":1729092086000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X24001724"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":40,"alternative-id":["S0720048X24001724"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2024.111456","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Elevated cortical blood flow insufficiency volume as a predictor of adverse outcomes in aneurysmal subarachnoid hemorrhage: a large prospective quantitative computed tomography perfusion study","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2024.111456","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"111456"}}