{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T07:37:38Z","timestamp":1792741058047,"version":"4.5.0"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100032767","name":"Sichuan Medical Association","doi-asserted-by":"publisher","award":["S20250022"],"award-info":[{"award-number":["S20250022"]}],"id":[{"id":"10.13039\/100032767","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100031514","name":"Health Commission of Chengdu Municipality","doi-asserted-by":"publisher","award":["2025452"],"award-info":[{"award-number":["2025452"]}],"id":[{"id":"10.13039\/100031514","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejradiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ejrad.2026.113238","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T15:55:33Z","timestamp":1788969333000},"page":"113238","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Spatial association between pontine infarction and the corticospinal tract predicts early neurological deterioration: an atlas-based radiomics machine learning study"],"prefix":"10.1016","volume":"205","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0935-5476","authenticated-orcid":false,"given":"Yang","family":"Du","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bi","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinglin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":".Shuai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"WeiDong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.ejrad.2026.113238_b0005","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1212\/WNL.39.9.1246","article-title":"Intracranial branch atheromatous disease: a neglected, understudied, and underused concept","volume":"39","author":"Caplan","year":"1989","journal-title":"Neurology"},{"issue":"9","key":"10.1016\/j.ejrad.2026.113238_b0010","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0073030","article-title":"Homocysteine and C-reactive protein associated with progression and prognosis of intracranial branch atheromatous disease","volume":"8","author":"Men","year":"2013","journal-title":"PLoS One"},{"issue":"10","key":"10.1016\/j.ejrad.2026.113238_b0015","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.1007\/s10072-013-1322-z","article-title":"Leukoaraiosis and NIHSS score help to differentiate subtypes of intracranial branch atheromatous disease in Southern Han Chinese patients with stroke","volume":"34","author":"Men","year":"2013","journal-title":"Neurol. Sci."},{"issue":"6","key":"10.1016\/j.ejrad.2026.113238_b0020","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/0033-0620(80)90015-8","article-title":"Treatment of progressing stroke","volume":"22","author":"Millikan","year":"1980","journal-title":"Prog. Cardiovasc. Dis."},{"issue":"2","key":"10.1016\/j.ejrad.2026.113238_b0025","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1161\/STROKEAHA.119.027239","article-title":"Predictors of early neurologic deterioration in acute pontine infarction","volume":"51","author":"Li","year":"2020","journal-title":"Stroke"},{"issue":"2","key":"10.1016\/j.ejrad.2026.113238_b0030","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1111\/ijs.12352","article-title":"Acute diffusion-weighted imaging lesion patterns predict progressive small subcortical infarct in the perforator territory of the middle cerebral artery","volume":"10","author":"Duan","year":"2015","journal-title":"Int. J. Stroke"},{"issue":"10","key":"10.1016\/j.ejrad.2026.113238_b0035","doi-asserted-by":"crossref","first-page":"2431","DOI":"10.1161\/STROKEAHA.124.047688","article-title":"Clinical and prognostic characteristics of acute BAD-related stroke: a multicenter mri-based prospective study","volume":"55","author":"Li","year":"2024","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.ejrad.2026.113238_b0040","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1148\/radiol.14140373","article-title":"Pontine infarction: diffusion-tensor imaging of motor pathways-a longitudinal study","volume":"274","author":"Zhang","year":"2015","journal-title":"Radiology"},{"key":"10.1016\/j.ejrad.2026.113238_b0045","article-title":"Corticospinal tract hypoperfusion associated with unexplained early neurological deterioration after intravenous thrombolysis","volume":"13","author":"Zhang","year":"2022","journal-title":"Front. Neurol."},{"issue":"10","key":"10.1016\/j.ejrad.2026.113238_b0050","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0108395","article-title":"Hemodynamic factors may play a critical role in neurological deterioration occurring within 72 hrs after lacunar stroke","volume":"9","author":"Huang","year":"2014","journal-title":"PLoS One"},{"issue":"4","key":"10.1016\/j.ejrad.2026.113238_b0055","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1159\/000279619","article-title":"Diameter of the basilar artery may be associated with neurological deterioration in acute pontine infarction","volume":"63","author":"Aoki","year":"2010","journal-title":"Eur. Neurol."},{"issue":"3","key":"10.1016\/j.ejrad.2026.113238_b0060","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1007\/s13760-017-0827-2","article-title":"Progressive deficit in isolated pontine infarction: the association with etiological subtype, lesion topography and outcome","volume":"117","author":"G\u00f6k\u00e7al","year":"2017","journal-title":"Acta Neurol. Belg."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113238_b0065","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1186\/s12883-024-03533-2","article-title":"MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China","volume":"24","author":"Wang","year":"2024","journal-title":"BMC Neurol."},{"issue":"2","key":"10.1016\/j.ejrad.2026.113238_b0070","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1016\/j.neuroimage.2007.12.035","article-title":"Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template","volume":"40","author":"Mori","year":"2008","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.ejrad.2026.113238_b0075","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.neuroimage.2007.02.049","article-title":"Reproducibility of quantitative tractography methods applied to cerebral white matter","volume":"36","author":"Wakana","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.ejrad.2026.113238_b0080","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/j.nicl.2013.12.006","article-title":"A template-based procedure for determining white matter integrity in the internal capsule early after stroke","volume":"4","author":"Petoe","year":"2014","journal-title":"Neuroimage Clin"},{"issue":"2","key":"10.1016\/j.ejrad.2026.113238_b0085","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1002\/hbm.23059","article-title":"Does stroke location predict walk speed response to gait rehabilitation?","volume":"37","author":"Jones","year":"2016","journal-title":"Hum. Brain Mapp."},{"issue":"11","key":"10.1016\/j.ejrad.2026.113238_b0090","doi-asserted-by":"crossref","first-page":"3093","DOI":"10.1161\/STROKEAHA.119.026189","article-title":"Machine learning-enabled automated determination of acute ischemic core from computed tomography angiography","volume":"50","author":"Sheth","year":"2019","journal-title":"Stroke"},{"issue":"3","key":"10.1016\/j.ejrad.2026.113238_b0095","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1161\/STROKEAHA.119.027611","article-title":"Machine learning approach to identify stroke within 4.5 hours","volume":"51","author":"Lee","year":"2020","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2026.113238_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuropsychologia.2025.109067","article-title":"From MRIcro to MRIcron: the evolution of neuroimaging visualization tools","volume":"207","author":"Rorden","year":"2025","journal-title":"Neuropsychologia"},{"issue":"1","key":"10.1016\/j.ejrad.2026.113238_b0105","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.neuroimage.2009.06.060","article-title":"Accurate and robust brain image alignment using boundary-based registration","volume":"48","author":"Greve","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.ejrad.2026.113238_b0110","doi-asserted-by":"crossref","unstructured":"M. Jenkinson, C.F. Beckmann, T.E. Behrens, M.W. Woolrich, S.M. Smith, FSL, Neuroimage 62(2) (2012) 782-90.","DOI":"10.1016\/j.neuroimage.2011.09.015"},{"issue":"9","key":"10.1016\/j.ejrad.2026.113238_b0115","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D slicer as an image computing platform for the quantitative imaging network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn. Reson. Imaging"},{"issue":"21","key":"10.1016\/j.ejrad.2026.113238_b0120","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"van Griethuysen","year":"2017","journal-title":"Cancer Res."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113238_b0125","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"issue":"2","key":"10.1016\/j.ejrad.2026.113238_b0130","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1148\/radiol.2015151169","article-title":"Radiomics: images are more than pictures they are data","volume":"278","author":"Gillies","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.ejrad.2026.113238_b0135","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: synthetic minority over-sampling technique","volume":"16","author":"Chawla","year":"2002","journal-title":"J. Artif. Intell. Res."},{"key":"10.1016\/j.ejrad.2026.113238_b0140","series-title":"Proceedings of the Fifth Annual Workshop on Computational Learning Theory","first-page":"144","article-title":"A training algorithm for optimal margin classifiers","author":"Boser","year":"1992"},{"key":"10.1016\/j.ejrad.2026.113238_b0145","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.ejrad.2026.113238_b0150","series-title":"Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining","first-page":"785","article-title":"Xgboost: a scalable tree boosting system","author":"Chen","year":"2016"},{"key":"10.1016\/j.ejrad.2026.113238_b0155","unstructured":"S. Lundberg, A unified approach to interpreting model predictions, arXiv preprint arXiv:1705.07874 (2017)."},{"issue":"6","key":"10.1016\/j.ejrad.2026.113238_b0160","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1001\/jamaneurol.2024.0868","article-title":"Effects of tirofiban on neurological deterioration in patients with acute ischemic stroke: a randomized clinical trial","volume":"81","author":"Zhao","year":"2024","journal-title":"JAMA Neurol."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113238_b0165","doi-asserted-by":"crossref","first-page":"e19","DOI":"10.1161\/STROKEAHA.121.036356","article-title":"Dual antiplatelet therapy plus argatroban prevents early neurological deterioration in branch atherosclerosis disease","volume":"53","author":"Xu","year":"2022","journal-title":"Stroke"},{"key":"10.1016\/j.ejrad.2026.113238_b0170","article-title":"Prediction of early neurologic deterioration in patients with perforating artery territory infarction using machine learning: a retrospective study","volume":"15","author":"Liu","year":"2024","journal-title":"Front. Neurol."},{"issue":"12","key":"10.1016\/j.ejrad.2026.113238_b0175","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: the bridge between medical imaging and personalized medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat. Rev. Clin. Oncol."},{"issue":"1","key":"10.1016\/j.ejrad.2026.113238_b0180","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1093\/biostatistics\/kxj037","article-title":"Adjusting batch effects in microarray expression data using empirical Bayes methods","volume":"8","author":"Johnson","year":"2007","journal-title":"Biostatistics"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X26005863?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X26005863?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T06:39:33Z","timestamp":1792737573000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X26005863"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":36,"alternative-id":["S0720048X26005863"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2026.113238","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Spatial association between pontine infarction and the corticospinal tract predicts early neurological deterioration: an atlas-based radiomics machine learning study","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2026.113238","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"113238"}}