{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T20:44:20Z","timestamp":1784234660484,"version":"3.55.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T00:00:00Z","timestamp":1769472000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PTQ2021-012120"],"award-info":[{"award-number":["PTQ2021-012120"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-026-12319-8","type":"journal-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T16:43:53Z","timestamp":1769532233000},"page":"4932-4943","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The multiverse of mismatchness in neuroradiology for stroke assessment: a narrative review"],"prefix":"10.1007","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7200-5028","authenticated-orcid":false,"given":"Teodoro","family":"Mart\u00edn-Noguerol","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elo\u00edsa","family":"Santos-Armentia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge","family":"Escart\u00edn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pilar","family":"L\u00f3pez-\u00dabeda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Luna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Cabrera-Zubizarreta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,27]]},"reference":[{"key":"12319_CR1","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1016\/S0140-6736(20)32163-2","volume":"396","author":"G Thomalla","year":"2020","unstructured":"Thomalla G, Boutitie F, Ma H et al (2020) Intravenous alteplase for stroke with unknown time of onset guided by advanced imaging: systematic review and meta-analysis of individual patient data. Lancet 396:1574\u20131584. https:\/\/doi.org\/10.1016\/S0140-6736(20)32163-2","journal-title":"Lancet"},{"key":"12319_CR2","doi-asserted-by":"crossref","unstructured":"Adamou A, Beltsios ET, Papanagiotou P (2021) The T2-FLAIR mismatch sign as an imaging indicator of IDH-mutant, 1p\/19q non-codeleted lower grade gliomas: a systematic review and diagnostic accuracy meta-analysis. Diagnostics (Basel) 11:1620","DOI":"10.3390\/diagnostics11091620"},{"key":"12319_CR3","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1056\/nejmoa1713973","volume":"378","author":"GW Albers","year":"2018","unstructured":"Albers GW, Marks MP, Kemp S et al (2018) Thrombectomy for stroke at 6 to 16\u2009h with selection by perfusion imaging. N Engl J Med 378:708\u2013718. https:\/\/doi.org\/10.1056\/nejmoa1713973","journal-title":"N Engl J Med"},{"key":"12319_CR4","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1161\/STROKEAHA.114.004772","volume":"45","author":"NK Mishra","year":"2014","unstructured":"Mishra NK, Albers GW, Christensen S et al (2014) Comparison of magnetic resonance imaging mismatch criteria to select patients for endovascular stroke therapy. Stroke 45:1369\u20131374. https:\/\/doi.org\/10.1161\/STROKEAHA.114.004772","journal-title":"Stroke"},{"key":"12319_CR5","doi-asserted-by":"publisher","unstructured":"Vaclavik D, Volny O, Cimflova P et al (2022) The importance of CT perfusion for diagnosis and treatment of ischemic stroke in anterior circulation. J Integr Neurosci. https:\/\/doi.org\/10.31083\/j.jin2103092","DOI":"10.31083\/j.jin2103092"},{"key":"12319_CR6","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/S0037-198X(02)80019-0","volume":"37","author":"SP Cullen","year":"2002","unstructured":"Cullen SP, Symons SP, Hunter G et al (2002) Dynamic contrast-enhanced computed tomography of acute ischemic stroke: CTA and CTP. Semin Roentgenol 37:192\u2013205. https:\/\/doi.org\/10.1016\/S0037-198X(02)80019-0","journal-title":"Semin Roentgenol"},{"key":"12319_CR7","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1161\/01.STR.0000209238.61459.39","volume":"37","author":"M Wintermark","year":"2006","unstructured":"Wintermark M, Flanders AE, Velthuis B et al (2006) Perfusion-CT assessment of infarct core and penumbra: receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke. Stroke 37:979\u2013985. https:\/\/doi.org\/10.1161\/01.STR.0000209238.61459.39","journal-title":"Stroke"},{"key":"12319_CR8","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1111\/ane.13374","volume":"143","author":"A Katyal","year":"2021","unstructured":"Katyal A, Bhaskar S (2021) CTP-guided reperfusion therapy in acute ischemic stroke: a meta-analysis. Acta Neurol Scand 143:355\u2013366. https:\/\/doi.org\/10.1111\/ane.13374","journal-title":"Acta Neurol Scand"},{"key":"12319_CR9","doi-asserted-by":"publisher","first-page":"966","DOI":"10.3174\/ajnr.A7549","volume":"43","author":"F Shi","year":"2022","unstructured":"Shi F, Zeng Q, Gong X et al (2022) Quantitative collateral assessment on CTP in the prediction of stroke etiology. AJNR Am J Neuroradiol 43:966\u2013971. https:\/\/doi.org\/10.3174\/ajnr.A7549","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR10","doi-asserted-by":"publisher","first-page":"179","DOI":"10.5853\/jos.2022.02936","volume":"25","author":"G Maguida","year":"2023","unstructured":"Maguida G, Shuaib A (2023) Collateral circulation in ischemic stroke: an updated review. J Stroke 25:179\u2013198","journal-title":"J Stroke"},{"key":"12319_CR11","doi-asserted-by":"publisher","first-page":"164","DOI":"10.5853\/jos.2013.15.3.164","volume":"15","author":"L Lin","year":"2013","unstructured":"Lin L, Bivard A, Parsons MW (2013) Perfusion patterns of ischemic stroke on computed tomography perfusion. J Stroke 15:164. https:\/\/doi.org\/10.5853\/jos.2013.15.3.164","journal-title":"J Stroke"},{"key":"12319_CR12","doi-asserted-by":"publisher","unstructured":"Haggenm\u00fcller B, Kreiser K, Sollmann N et al (2023) Pictorial review on imaging findings in cerebral CTP in patients with acute stroke and its mimics: a primer for general radiologists. Diagnostics (Basel). https:\/\/doi.org\/10.3390\/diagnostics13030447","DOI":"10.3390\/diagnostics13030447"},{"key":"12319_CR13","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1136\/svn-2021-000972","volume":"6","author":"X Guo","year":"2021","unstructured":"Guo X, Miao Z (2021) Advances in mechanical thrombectomy for acute ischaemic stroke from large vessel occlusions. Stroke Vasc Neurol 6:649\u2013657","journal-title":"Stroke Vasc Neurol"},{"key":"12319_CR14","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1212\/WNL.0000000000008481","volume":"93","author":"A Vagal","year":"2019","unstructured":"Vagal A, Wintermark M, Nael K et al (2019) Automated CT perfusion imaging for acute ischemic stroke: pearls and pitfalls for real-world use. Neurology 93:888\u2013898. https:\/\/doi.org\/10.1212\/WNL.0000000000008481","journal-title":"Neurology"},{"key":"12319_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00062-017-0561-4","volume":"27","author":"J Fiehler","year":"2017","unstructured":"Fiehler J (2017) The time\u2013reset effect. Clin Neuroradiol 27:3\u20135. https:\/\/doi.org\/10.1007\/s00062-017-0561-4","journal-title":"Clin Neuroradiol"},{"key":"12319_CR16","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.232741","volume":"311","author":"NC Lehnen","year":"2024","unstructured":"Lehnen NC, Dorn F, Wiest IC et al (2024) Data extraction from free-text reports on mechanical thrombectomy in acute ischemic stroke using ChatGPT: a retrospective analysis. Radiology 311:e232741. https:\/\/doi.org\/10.1148\/radiol.232741","journal-title":"Radiology"},{"key":"12319_CR17","doi-asserted-by":"publisher","unstructured":"Siegler JE, Olsen A, Rosenberg J et al (2020) Mismatch between automated CTP and ASPECTS score in patients with anterior large vessel occlusion. Clin Neurol Neurosurg. https:\/\/doi.org\/10.1016\/j.clineuro.2020.105797","DOI":"10.1016\/j.clineuro.2020.105797"},{"key":"12319_CR18","doi-asserted-by":"publisher","first-page":"1923","DOI":"10.1161\/STROKEAHA.110.610618","volume":"42","author":"S Kamalian","year":"2011","unstructured":"Kamalian S, Kamalian S, Maas MB et al (2011) CT cerebral blood flow maps optimally correlate with admission diffusion-weighted imaging in acute stroke but thresholds vary by postprocessing platform. Stroke 42:1923\u20131928. https:\/\/doi.org\/10.1161\/STROKEAHA.110.610618","journal-title":"Stroke"},{"key":"12319_CR19","doi-asserted-by":"publisher","first-page":"545","DOI":"10.3174\/ajnr.A2809","volume":"33","author":"S Kamalian","year":"2012","unstructured":"Kamalian S, Kamalian S, Konstas AA et al (2012) CT perfusion mean transit time maps optimally distinguish benign oligemia from true \u201cat-risk\u201d ischemic penumbra, but thresholds vary by postprocessing technique. AJNR Am J Neuroradiol 33:545\u2013549. https:\/\/doi.org\/10.3174\/ajnr.A2809","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR20","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1161\/STROKEAHA.122.041981","volume":"54","author":"G Schwarz","year":"2023","unstructured":"Schwarz G, Agostoni EC, Saliou G et al (2023) Perfusion imaging mismatch profiles in the early thrombectomy window: a single-center analysis. Stroke 54:1182\u20131191. https:\/\/doi.org\/10.1161\/STROKEAHA.122.041981","journal-title":"Stroke"},{"key":"12319_CR21","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1038\/sj.jcbfm.9600604","volume":"28","author":"W Kakuda","year":"2008","unstructured":"Kakuda W, Lansberg MG, Thijs VN et al (2008) Optimal definition for PWI\/DWI mismatch in acute ischemic stroke patients. J Cereb Blood Flow Metab 28:887\u2013891. https:\/\/doi.org\/10.1038\/sj.jcbfm.9600604","journal-title":"J Cereb Blood Flow Metab"},{"key":"12319_CR22","doi-asserted-by":"crossref","unstructured":"Butcher KS, Parsons MW, Davis S, Donnan G (2003) PWI\/DWI mismatch: better definition required. Stroke 34:e215-6","DOI":"10.1161\/01.STR.0000099066.23627.24"},{"key":"12319_CR23","doi-asserted-by":"publisher","unstructured":"Bhattacharjee R, Gupta RK, Das B et al (2021) Penumbra quantification from MR SWI-DWI mismatch and its comparison with MR ASL PWI-DWI mismatch in patients with acute ischemic stroke. NMR Biomed. https:\/\/doi.org\/10.1002\/nbm.4526","DOI":"10.1002\/nbm.4526"},{"key":"12319_CR24","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s00234-019-02177-1","volume":"61","author":"K Song","year":"2019","unstructured":"Song K, Guan M, Li W et al (2019) Acute ischemic stroke patients with diffusion-weighted imaging\u2014Alberta Stroke Program Early Computed Tomography Score \u2264 5 can benefit from endovascular treatment: a single-center experience and literature review. Neuroradiology 61:451\u2013459","journal-title":"Neuroradiology"},{"key":"12319_CR25","doi-asserted-by":"publisher","first-page":"2423","DOI":"10.1161\/STROKEAHA.108.516963","volume":"39","author":"PD Schellinger","year":"2008","unstructured":"Schellinger PD, K\u00f6hrmann M (2008) Editorial: MRA\/DWI mismatch: a novel concept or something one could get easier and cheaper. Stroke 39:2423\u20132424. https:\/\/doi.org\/10.1161\/STROKEAHA.108.516963","journal-title":"Stroke"},{"key":"12319_CR26","doi-asserted-by":"publisher","first-page":"2491","DOI":"10.1161\/STROKEAHA.107.508572","volume":"39","author":"MG Lansberg","year":"2008","unstructured":"Lansberg MG, Thijs VN, Bammer R et al (2008) The MRA-DWI mismatch identifies patients with stroke who are likely to benefit from reperfusion. Stroke 39:2491\u20132496. https:\/\/doi.org\/10.1161\/STROKEAHA.107.508572","journal-title":"Stroke"},{"key":"12319_CR27","doi-asserted-by":"publisher","first-page":"2388","DOI":"10.1161\/STROKEAHA.107.510917","volume":"39","author":"K Kimura","year":"2008","unstructured":"Kimura K, Iguchi Y, Shibazaki K et al (2008) Large ischemic lesions on diffusion-weighted imaging done before intravenous tissue plasminogen activator thrombolysis predicts a poor outcome in patients with acute stroke. Stroke 39:2388\u20132391. https:\/\/doi.org\/10.1161\/STROKEAHA.107.510917","journal-title":"Stroke"},{"key":"12319_CR28","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.jstrokecerebrovasdis.2010.03.019","volume":"21","author":"I Deguchi","year":"2012","unstructured":"Deguchi I, Takeda H, Furuya D et al (2012) Significance of magnetic resonance angiography-diffusion weighted imaging mismatch in hyperacute cerebral infarction. J Stroke Cerebrovasc Dis 21:108\u2013113. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2010.03.019","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"12319_CR29","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1016\/j.jstrokecerebrovasdis.2013.12.053","volume":"23","author":"I Deguchi","year":"2014","unstructured":"Deguchi I, Dembo T, Yoshimura S et al (2014) Relationship between magnetic resonance angiography-diffusion-weighted imaging mismatch and clinical outcome in endovascular treatment for acute ischemic stroke: subgroup analysis of the Recovery by Endovascular Salvage for Cerebral Ultra-acute Embolism\u2014Japan Registry. J Stroke Cerebrovasc Dis 23:1471\u20131476. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2013.12.053","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"12319_CR30","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.neurad.2017.04.002","volume":"44","author":"MG Park","year":"2017","unstructured":"Park MG, Yeom JA, Baik SK, Park KP (2017) Total mismatch of diffusion-weighted imaging and susceptibility-weighted imaging in patients with acute cerebral ischemia. J Neuroradiol 44:308\u2013312. https:\/\/doi.org\/10.1016\/j.neurad.2017.04.002","journal-title":"J Neuroradiol"},{"key":"12319_CR31","doi-asserted-by":"publisher","unstructured":"Jiang HF, Zhang YQ, Pang JX et al (2021) Factors associated with prominent vessel sign on susceptibility-weighted imaging in acute ischemic stroke. Sci Rep. https:\/\/doi.org\/10.1038\/s41598-021-84269-8","DOI":"10.1038\/s41598-021-84269-8"},{"key":"12319_CR32","doi-asserted-by":"publisher","unstructured":"Jiang H, Zhang Y, Pang J et al (2020) Interactive effect of susceptibility-diffusion mismatch and recanalization status on clinical outcome in large vessel occlusion stroke. J Stroke Cerebrovasc Dis. https:\/\/doi.org\/10.1016\/j.jstrokecerebrovasdis.2020.105072","DOI":"10.1016\/j.jstrokecerebrovasdis.2020.105072"},{"key":"12319_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fneur.2021.660529","volume":"12","author":"Z Xu","year":"2021","unstructured":"Xu Z, Tong Z, Duan Y et al (2021) Diffusion- and susceptibility weighted imaging mismatch correlates with collateral circulation and prognosis after middle cerebral artery M1-segment occlusion. Front Neurol 12:1\u20137. https:\/\/doi.org\/10.3389\/fneur.2021.660529","journal-title":"Front Neurol"},{"key":"12319_CR34","doi-asserted-by":"publisher","unstructured":"Jiang H, Zhang Y, Pang J et al (2021) Susceptibility-diffusion mismatch correlated with leptomeningeal collateralization in large vessel occlusion stroke. J Int Med Res. https:\/\/doi.org\/10.1177\/03000605211013179","DOI":"10.1177\/03000605211013179"},{"key":"12319_CR35","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1177\/0284185116675658","volume":"58","author":"S Payabvash","year":"2017","unstructured":"Payabvash S, Taleb S, Benson JC et al (2017) Susceptibility-diffusion mismatch in middle cerebral artery territory acute ischemic stroke: clinical and imaging implications. Acta Radiol 58:876\u2013882. https:\/\/doi.org\/10.1177\/0284185116675658","journal-title":"Acta Radiol"},{"key":"12319_CR36","doi-asserted-by":"publisher","first-page":"2061","DOI":"10.3174\/ajnr.A4017","volume":"35","author":"M Lou","year":"2014","unstructured":"Lou M, Chen Z, Wan J et al (2014) Susceptibility-diffusion mismatch predicts thrombolytic outcomes: a retrospective cohort study. AJNR Am J Neuroradiol 35:2061\u20132067. https:\/\/doi.org\/10.3174\/ajnr.A4017","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR37","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1007\/s11682-019-00156-x","volume":"14","author":"L Jiang","year":"2020","unstructured":"Jiang L, Peng M, Geng W et al (2020) FLAIR hyperintensities-DWI mismatch in acute stroke: associations with DWI volume and functional outcome. Brain Imaging Behav 14:1230\u20131237. https:\/\/doi.org\/10.1007\/s11682-019-00156-x","journal-title":"Brain Imaging Behav"},{"key":"12319_CR38","doi-asserted-by":"crossref","unstructured":"Legrand L, Tisserand M, Turc G et al (2015) Do FLAIR vascular hyperintensities beyond the DWI lesion represent the ischemic penumbra? AJNR Am J Neuroradiol 36:269\u2013274","DOI":"10.3174\/ajnr.A4088"},{"key":"12319_CR39","doi-asserted-by":"publisher","first-page":"26","DOI":"10.3174\/ajnr.A7733","volume":"44","author":"L Legrand","year":"2023","unstructured":"Legrand L, Le Berre A, Seners P et al (2023) FLAIR vascular hyperintensities as a surrogate of collaterals in acute stroke: DWI matters. AJNR Am J Neuroradiol 44:26\u201332. https:\/\/doi.org\/10.3174\/ajnr.A7733","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR40","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/S1474-4422(11)70192-2","volume":"10","author":"G Thomalla","year":"2011","unstructured":"Thomalla G, Cheng B, Ebinger M et al (2011) DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4\u00b75 h of symptom onset (PRE-FLAIR): a multicentre observational study. Lancet Neurol 10:978\u2013986. https:\/\/doi.org\/10.1016\/S1474-4422(11)70192-2","journal-title":"Lancet Neurol"},{"key":"12319_CR41","doi-asserted-by":"publisher","unstructured":"Annus \u00c1, Gera FZ, Sztriha L, Kliv\u00e9nyi P (2022) DWI-FLAIR mismatch guided thrombolysis in patients without large-vessel occlusion: real-world data from a comprehensive stroke centre. Heliyon. https:\/\/doi.org\/10.1016\/j.heliyon.2022.e12069","DOI":"10.1016\/j.heliyon.2022.e12069"},{"key":"12319_CR42","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1177\/2396987320920114","volume":"5","author":"JAR Pfaff","year":"2020","unstructured":"Pfaff JAR, Bendszus M, Donnan G et al (2020) The impact of the DWI-FLAIR-mismatch in the ECASS-4 trial\u2014a post hoc analysis. Eur Stroke J 5:370\u2013373. https:\/\/doi.org\/10.1177\/2396987320920114","journal-title":"Eur Stroke J"},{"key":"12319_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/diagnostics14010069","volume":"14","author":"J Johansen","year":"2024","unstructured":"Johansen J, Offersen CM, Carlsen JF et al (2024) An automatic DWI\/FLAIR mismatch assessment of stroke patients. Diagnostics (Basel) 14:1\u201312. https:\/\/doi.org\/10.3390\/diagnostics14010069","journal-title":"Diagnostics (Basel)"},{"key":"12319_CR44","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1002\/ana.26954","volume":"96","author":"A Sorby-Adams","year":"2024","unstructured":"Sorby-Adams A, Guo J, de Havenon A et al (2024) Diffusion-weighted imaging fluid-attenuated inversion recovery mismatch on portable, low-field magnetic resonance imaging among acute stroke patients. Ann Neurol 96:321\u2013331. https:\/\/doi.org\/10.1002\/ana.26954","journal-title":"Ann Neurol"},{"key":"12319_CR45","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.3174\/ajnr.A4325","volume":"36","author":"S Oda","year":"2015","unstructured":"Oda S, Shimoda M, Hirayama A et al (2015) Neuroradiologic diagnosis of minor leak prior to major SAH: diagnosis by T1-FLAIR mismatch. AJNR Am J Neuroradiol 36:1616\u20131622. https:\/\/doi.org\/10.3174\/ajnr.A4325","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR46","doi-asserted-by":"publisher","first-page":"E62","DOI":"10.3174\/ajnr.A4467","volume":"36","author":"H Joswig","year":"2015","unstructured":"Joswig H, Fournier JY, Hildebrandt G, Stienen MN (2015) Sentinel headache: a warning sign preceding every fourth aneurysmal subarachnoid hemorrhage. AJNR Am J Neuroradiol 36:E62\u2013E63","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR47","doi-asserted-by":"publisher","first-page":"E64","DOI":"10.3174\/ajnr.A4480","volume":"36","author":"S Oda","year":"2015","unstructured":"Oda S, Shimoda M, Hirayama A et al (2015) Reply to: Sentinel headache: a warning sign preceding every fourth aneurysmal subarachnoid hemorrhage. AJNR Am J Neuroradiol 36:E64. https:\/\/doi.org\/10.3174\/ajnr.A4480","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR48","doi-asserted-by":"publisher","unstructured":"Chiang C-H, Liu C-C, Weng C-L et al (2025) DWI-ADC mismatch predicts infarct growth and endovascular thrombectomy outcomes in anterior circulation stroke. J Neurointerv Surg 22:jnis-2025-023702. https:\/\/doi.org\/10.1136\/jnis-2025-023702","DOI":"10.1136\/jnis-2025-023702"},{"key":"12319_CR49","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1038\/jcbfm.2011.102","volume":"32","author":"BCV Campbell","year":"2012","unstructured":"Campbell BCV, Purushotham A, Christensen S et al (2012) The infarct core is well represented by the acute diffusion lesion: sustained reversal is infrequent. J Cereb Blood Flow Metab 32:50\u201356. https:\/\/doi.org\/10.1038\/jcbfm.2011.102","journal-title":"J Cereb Blood Flow Metab"},{"key":"12319_CR50","first-page":"680","volume":"24","author":"JD Eastwood","year":"2003","unstructured":"Eastwood JD, Engelter ST, MacFall JF et al (2003) Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images. AJNR Am J Neuroradiol 24:680\u2013687","journal-title":"AJNR Am J Neuroradiol"},{"key":"12319_CR51","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1111\/ene.13660","volume":"25","author":"C Ducroux","year":"2018","unstructured":"Ducroux C, Khoury N, Lecler A et al (2018) Application of the DAWN clinical imaging mismatch and DEFUSE 3 selection criteria: benefit seems similar but restrictive volume cut-offs might omit potential responders. Eur J Neurol 25:1093\u20131099. https:\/\/doi.org\/10.1111\/ene.13660","journal-title":"Eur J Neurol"},{"key":"12319_CR52","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1002\/ana.20976","volume":"60","author":"GW Albers","year":"2006","unstructured":"Albers GW, Thijs VN, Wechsler L et al (2006) Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study. Ann Neurol 60:508\u2013517. https:\/\/doi.org\/10.1002\/ana.20976","journal-title":"Ann Neurol"},{"key":"12319_CR53","doi-asserted-by":"publisher","first-page":"3176","DOI":"10.1177\/0271678X16685574","volume":"37","author":"O Zaro-Weber","year":"2017","unstructured":"Zaro-Weber O, Moeller-Hartmann W, Siegmund D et al (2017) MRI-based mismatch detection in acute ischemic stroke: optimal PWI maps and thresholds validated with PET. J Cereb Blood Flow Metab 37:3176\u20133183. https:\/\/doi.org\/10.1177\/0271678X16685574","journal-title":"J Cereb Blood Flow Metab"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-026-12319-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-026-12319-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-026-12319-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T12:26:00Z","timestamp":1779798360000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-026-12319-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,27]]},"references-count":53,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2026,6]]}},"alternative-id":["12319"],"URL":"https:\/\/doi.org\/10.1007\/s00330-026-12319-8","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,27]]},"assertion":[{"value":"6 September 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 December 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 January 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The scientific guarantor of this publication is Dr. Antonio Luna.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare relationships with the following companies: Antonio Luna, MD, PhD, is an occasional lecturer for Philips, Siemens Healthineers, Bracco and Canon and receives royalties as book editor from Springer-Verlag. The rest of the authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Not applicable.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}