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Comprehensive meta-analysis of futile recanalization in acute ischemic stroke patients undergoing endovascular thrombectomy: prevalence, factors, and clinical outcomes. <i>Life (Basel)<\/i> 2023; 13: 1965.","DOI":"10.3390\/life13101965"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2) Ni H, Liu X, Hang Y, et al. Predictors of futile recanalization in patients with acute ischemic stroke undergoing mechanical thrombectomy in late time windows. <i>Front Neurol<\/i> 2022; 13: 958236.","DOI":"10.3389\/fneur.2022.958236"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3) Kitano T, Todo K, Yoshimura S, et al. Futile complete recanalization: patients characteristics and its time course. <i>Sci Rep<\/i> 2020; 10: 4973.","DOI":"10.1038\/s41598-020-61748-y"},{"key":"4","doi-asserted-by":"crossref","unstructured":"4) Fu M, Yang J, Dong X, et al. Association of critical hypoperfusion biomarkers on CT with futile recanalization and poor outcome after mechanical thrombectomy in acute ischemic stroke. <i>BMC Neurol<\/i> 2024; 24: 406.","DOI":"10.1186\/s12883-024-03911-w"},{"key":"5","doi-asserted-by":"crossref","unstructured":"5) Dhillon PS, Butt W, Podlasek A, et al. Perfusion imaging for endovascular thrombectomy in acute ischemic stroke is associated with improved functional outcomes in the early and late time windows. <i>Stroke<\/i> 2022; 53: 2770\u20132778.","DOI":"10.1161\/STROKEAHA.121.038010"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6) Ribo M, Tomasello A, Lemus M, et al. Maximal admission core lesion compatible with favorable outcome in acute stroke patients undergoing endovascular procedures. <i>Stroke<\/i> 2015; 46: 2849\u20132852.","DOI":"10.1161\/STROKEAHA.115.010707"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7) Heit JJ, Mlynash M, Christensen S, et al. What predicts poor outcome after successful thrombectomy in late time windows? <i>J Neurointerv Surg<\/i> 2021; 13: 421\u2013425.","DOI":"10.1136\/neurintsurg-2020-016125"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8) Nakanishi K, Sano T, Iwaki K, et al. Quantitative evaluation of ischemic core volume in GE\u2019s CT perfusion imaging analysis software and its relationship to Alberta Stroke Program Early CT Score. <i>J Neuroendovasc Ther<\/i> 2025; 19: 2024\u20130090.","DOI":"10.5797\/jnet.oa.2024-0090"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9) Adams HP Jr., Bendixen BH, Kappelle LJ, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. <i>Stroke<\/i> 1993; 24: 35\u201341.","DOI":"10.1161\/01.STR.24.1.35"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10) Hart RG, Diener HC, Coutts SB, et al. Embolic strokes of undetermined source: the case for a new clinical construct. <i>Lancet Neurol<\/i> 2014; 13: 429\u2013438.","DOI":"10.1016\/S1474-4422(13)70310-7"},{"key":"11","doi-asserted-by":"crossref","unstructured":"11) Elgendy AY, Saver JL, Amin Z, et al. Proposal for updated nomenclature and classification of potential causative mechanism in patent foramen ovale-associated stroke. <i>JAMA Neurol<\/i> 2020; 77: 878\u2013886.","DOI":"10.1001\/jamaneurol.2020.0458"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12) Miyamoto S, Ogasawara K, Kuroda S, et al. Japan stroke society guideline 2021 for the treatment of stroke. <i>Int J Stroke<\/i> 2022; 17: 1039\u20131049.","DOI":"10.1177\/17474930221090347"},{"key":"13","doi-asserted-by":"crossref","unstructured":"13) Toyoda K, Koga M, Iguchi Y, et al. Guidelines for intravenous thrombolysis (recombinant tissue-type plasminogen activator), the third edition, March 2019: a guideline from the Japan Stroke Society. <i>Neurol Med Chir (Tokyo)<\/i> 2019; 59: 449\u2013491.","DOI":"10.2176\/nmc.st.2019-0177"},{"key":"14","doi-asserted-by":"crossref","unstructured":"14) Liu QC, Jia ZY, Zhao LB, et al. Agreement and accuracy of ischemic core volume evaluated by three CT perfusion software packages in acute ischemic stroke. <i>J Stroke Cerebrovasc Dis<\/i> 2021; 30: 105872.","DOI":"10.1016\/j.jstrokecerebrovasdis.2021.105872"},{"key":"15","doi-asserted-by":"crossref","unstructured":"15) Li X, Zeng C, Li Y, et al. Comparison of 3 CT perfusion software packages in estimation of ischemic lesions in acute ischemic stroke patients. <i>J Comput Assist Tomogr<\/i> 2023; 47: 500\u2013506.","DOI":"10.1097\/RCT.0000000000001421"},{"key":"16","doi-asserted-by":"crossref","unstructured":"16) Hacke W, Kaste M, Bluhmki E, et al. Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke. <i>N Engl J Med<\/i> 2008; 359: 1317\u20131329.","DOI":"10.1056\/NEJMoa0804656"},{"key":"17","doi-asserted-by":"crossref","unstructured":"17) Bruggeman AAE, Kappelhof M, den Hartog SJ, et al. Successful reperfusion in relation to the number of passes: comparing outcomes of first pass expanded Treatment in Cerebral Ischemia (eTICI) 2B with multiple-pass eTICI 3. <i>J Neurointerv Surg<\/i> 2023; 15: 120\u2013126.","DOI":"10.1136\/neurintsurg-2021-018465"},{"key":"18","doi-asserted-by":"crossref","unstructured":"18) Lin X, Zheng X, Zhang J, et al. Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy. <i>Front Neurol<\/i> 2022; 13: 909403.","DOI":"10.3389\/fneur.2022.909403"},{"key":"19","doi-asserted-by":"crossref","unstructured":"19) Meinel TR, Lerch C, Fischer U, et al. Multivariable prediction model for futile recanalization therapies in patients with acute ischemic stroke. <i>Neurology<\/i> 2022; 99: e1009\u2013e1018.","DOI":"10.1212\/WNL.0000000000200815"}],"container-title":["Journal of Neuroendovascular Therapy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnet\/19\/1\/19_oa.2025-0068\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T03:35:59Z","timestamp":1759548959000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnet\/19\/1\/19_oa.2025-0068\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.5797\/jnet.oa.2025-0068","relation":{},"ISSN":["1882-4072","2186-2494"],"issn-type":[{"value":"1882-4072","type":"print"},{"value":"2186-2494","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"article-number":"oa.2025-0068"}}