{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T08:47:26Z","timestamp":1782463646023,"version":"3.54.5"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","clinicalradiologyonline.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Radiology"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.crad.2026.107359","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:58:08Z","timestamp":1775840288000},"page":"107359","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Diffusion-weighted imaging and dynamic susceptibility contrast-enhanced perfusion-weighted imaging of the non-enhancing peritumoural region predict overall survival in glioblastoma"],"prefix":"10.1016","volume":"98","author":[{"given":"M.","family":"Xiong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7110-1090","authenticated-orcid":false,"given":"J.","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"X.","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9024-0055","authenticated-orcid":false,"given":"S.","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2104-4681","authenticated-orcid":false,"given":"Z.","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.crad.2026.107359_bib1","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1001\/jama.2023.0023","article-title":"Glioblastoma and other primary brain malignancies in adults: a review","volume":"329","author":"Schaff","year":"2023","journal-title":"Jama"},{"key":"10.1016\/j.crad.2026.107359_bib2","doi-asserted-by":"crossref","first-page":"v1","DOI":"10.1093\/neuonc\/noac202","article-title":"CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2015-2019","volume":"24","author":"Ostrom","year":"2022","journal-title":"Neuro Oncol"},{"key":"10.1016\/j.crad.2026.107359_bib3","doi-asserted-by":"crossref","first-page":"494","DOI":"10.3389\/fonc.2020.00494","article-title":"The intratumoral heterogeneity reflects the intertumoral subtypes of glioblastoma multiforme: a regional immunohistochemistry analysis","volume":"10","author":"Bergmann","year":"2020","journal-title":"Front Oncol"},{"key":"10.1016\/j.crad.2026.107359_bib4","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1093\/neuonc\/noaa106","article-title":"Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions","volume":"22","author":"Wen","year":"2020","journal-title":"Neuro Oncol"},{"key":"10.1016\/j.crad.2026.107359_bib5","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.1126\/science.1254257","article-title":"Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma","volume":"344","author":"Patel","year":"2014","journal-title":"Science"},{"key":"10.1016\/j.crad.2026.107359_bib6","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1093\/neuonc\/noab269","article-title":"Cancer cell heterogeneity and plasticity: a paradigm shift in glioblastoma","volume":"24","author":"Yabo","year":"2022","journal-title":"Neuro Oncol"},{"key":"10.1016\/j.crad.2026.107359_bib7","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.semcancer.2021.02.014","article-title":"Cancer cell heterogeneity & plasticity in glioblastoma and brain tumors","volume":"82","author":"Lauko","year":"2022","journal-title":"Seminars in Cancer Biology"},{"key":"10.1016\/j.crad.2026.107359_bib8","doi-asserted-by":"crossref","DOI":"10.3390\/ijms21061932","article-title":"Tumor cell invasion in glioblastoma","volume":"21","author":"Vollmann-Zwerenz","year":"2020","journal-title":"Int J Mol Sci."},{"key":"10.1016\/j.crad.2026.107359_bib9","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.3171\/2018.12.JNS182926","article-title":"Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging","volume":"132","author":"Li","year":"2020","journal-title":"J Neurosurg"},{"key":"10.1016\/j.crad.2026.107359_bib10","doi-asserted-by":"crossref","DOI":"10.3390\/brainsci13020248","article-title":"Histologic definition of enhancing core and FLAIR hyperintensity region of glioblastoma, IDH-wild type: a clinico-pathologic study on a single-institution series","volume":"13","author":"Broggi","year":"2023","journal-title":"Brain Sci"},{"key":"10.1016\/j.crad.2026.107359_bib11","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1002\/ana.22036","article-title":"Residual tumor cells are unique cellular targets in glioblastoma","volume":"68","author":"Glas","year":"2010","journal-title":"Annals of Neurology"},{"key":"10.1016\/j.crad.2026.107359_bib12","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1002\/stem.1349","article-title":"Cellular plasticity confers migratory and invasive advantages to a population of glioblastoma-initiating cells that infiltrate peritumoral tissue","volume":"31","author":"Ruiz-Onta\u00f1on","year":"2013","journal-title":"Stem Cells"},{"key":"10.1016\/j.crad.2026.107359_bib13","doi-asserted-by":"crossref","DOI":"10.3390\/cancers14051125","article-title":"Precision oncology in lower-grade gliomas: promises and pitfalls of therapeutic strategies targeting IDH-mutations","volume":"14","author":"Persico","year":"2022","journal-title":"Cancers (Basel)"},{"key":"10.1016\/j.crad.2026.107359_bib14","doi-asserted-by":"crossref","DOI":"10.3390\/ijms23137148","article-title":"MGMT and whole-genome DNA methylation impacts on diagnosis, prognosis and therapy of glioblastoma multiforme","volume":"23","author":"Della Monica","year":"2022","journal-title":"Int J Mol Sci."},{"key":"10.1016\/j.crad.2026.107359_bib15","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1093\/neuonc\/noac193","article-title":"Prognostic validation of a new classification system for extent of resection in glioblastoma: a report of the RANO resect group","volume":"25","author":"Karschnia","year":"2023","journal-title":"Neuro Oncol"},{"key":"10.1016\/j.crad.2026.107359_bib16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3171\/2020.10.JNS203366","article-title":"Influence of supramarginal resection on survival outcomes after gross-total resection of IDH-wild-type glioblastoma","volume":"136","author":"Vivas-Buitrago","year":"2022","journal-title":"J Neurosurg"},{"key":"10.1016\/j.crad.2026.107359_bib17","doi-asserted-by":"crossref","first-page":"166","DOI":"10.14791\/btrt.2023.0012","article-title":"Supramaximal resection for glioblastoma: redefining the extent of resection criteria and its impact on survival","volume":"11","author":"Roh","year":"2023","journal-title":"Brain Tumor Res Treat."},{"key":"10.1016\/j.crad.2026.107359_bib18","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0244275","article-title":"Evaluating survival in subjects with astrocytic brain tumors by dynamic susceptibility-weighted perfusion MR imaging","volume":"16","author":"White","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/j.crad.2026.107359_bib19","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1007\/s00234-019-02255-4","article-title":"Radiomics in peritumoral non-enhancing regions: fractional anisotropy and cerebral blood volume improve prediction of local progression and overall survival in patients with glioblastoma","volume":"61","author":"Kim","year":"2019","journal-title":"Neuroradiology"},{"key":"10.1016\/j.crad.2026.107359_bib20","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1148\/radiol.14131691","article-title":"Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor","volume":"272","author":"Jain","year":"2014","journal-title":"Radiology"},{"key":"10.1016\/j.crad.2026.107359_bib21","doi-asserted-by":"crossref","first-page":"3456","DOI":"10.1007\/s00330-013-2967-y","article-title":"Quantitative MR perfusion parameters related to survival time in high-grade gliomas","volume":"23","author":"Sanz-Requena","year":"2013","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2026.107359_bib22","first-page":"2763","article-title":"Combination value of diffusion-weighted imaging and dynamic susceptibility contrast-enhanced MRI in astrocytoma grading and correlation with GFAP, Topoisomerase II\u03b1 and MGMT","volume":"18","author":"Qin","year":"2019","journal-title":"Oncol Lett"},{"key":"10.1016\/j.crad.2026.107359_bib23","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.ejrad.2019.01.015","article-title":"Detection of occult neoplastic infiltration in the corpus callosum and prediction of overall survival in patients with glioblastoma using diffusion tensor imaging","volume":"112","author":"Mohan","year":"2019","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.crad.2026.107359_bib24","article-title":"Comparing tumor microRNA profiles of patients with long- and short-term-surviving glioblastoma","volume":"27","author":"Schneider","year":"2023","journal-title":"Mol Med Rep"},{"key":"10.1016\/j.crad.2026.107359_bib25","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1148\/radiol.2016151913","article-title":"Incremental prognostic value of ADC histogram analysis over MGMT promoter methylation status in patients with glioblastoma","volume":"281","author":"Choi","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.crad.2026.107359_bib26","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.3174\/ajnr.A2939","article-title":"Survival analysis of patients with high-grade gliomas based on data mining of imaging variables","volume":"33","author":"Zacharaki","year":"2012","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2026.107359_bib27","doi-asserted-by":"crossref","first-page":"5309","DOI":"10.1007\/s00330-017-4910-0","article-title":"Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging","volume":"27","author":"Zeng","year":"2017","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2026.107359_bib28","doi-asserted-by":"crossref","first-page":"71","DOI":"10.2214\/AJR.10.4752","article-title":"Diagnostic value of peritumoral minimum apparent diffusion coefficient for differentiation of glioblastoma multiforme from solitary metastatic lesions","volume":"196","author":"Lee","year":"2011","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.crad.2026.107359_bib29","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1007\/s00701-023-05544-3","article-title":"Long-term survival in patients with IDH-wildtype glioblastoma: clinical and molecular characteristics","volume":"165","author":"Chehade","year":"2023","journal-title":"Acta Neurochir (Wien)"},{"key":"10.1016\/j.crad.2026.107359_bib30","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1002\/cncr.33918","article-title":"Diagnostic, therapeutic, and prognostic implications of the 2021 World Health Organization classification of tumors of the central nervous system","volume":"128","author":"Gritsch","year":"2022","journal-title":"Cancer"},{"key":"10.1016\/j.crad.2026.107359_bib31","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.3174\/ajnr.A4284","article-title":"Prognostic value of dynamic susceptibility contrast-enhanced and diffusion-weighted MR imaging in patients with glioblastomas","volume":"36","author":"\u00c7oban","year":"2015","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2026.107359_bib32","doi-asserted-by":"crossref","first-page":"e689","DOI":"10.1016\/j.crad.2013.06.021","article-title":"Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions","volume":"68","author":"Lee","year":"2013","journal-title":"Clin Radiol"},{"key":"10.1016\/j.crad.2026.107359_bib33","doi-asserted-by":"crossref","first-page":"57","DOI":"10.2214\/AJR.16.16234","article-title":"Predicting glioblastoma recurrence by early changes in the apparent diffusion coefficient value and signal intensity on FLAIR images","volume":"208","author":"Chang","year":"2017","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.crad.2026.107359_bib34","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1148\/radiol.2016151913","article-title":"Incremental prognostic value of ADC histogram analysis over MGMT promoter methylation status in patients with glioblastoma","volume":"281","author":"Choi","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.crad.2026.107359_bib35","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1016\/j.ccell.2022.08.014","article-title":"Cancer cell autophagy, reprogrammed macrophages, and remodeled vasculature in glioblastoma triggers tumor immunity","volume":"40","author":"Chryplewicz","year":"2022","journal-title":"Cancer Cell"},{"key":"10.1016\/j.crad.2026.107359_bib36","doi-asserted-by":"crossref","first-page":"4196","DOI":"10.1038\/ncomms5196","article-title":"Disruption of astrocyte-vascular coupling and the blood-brain barrier by invading glioma cells","volume":"5","author":"Watkins","year":"2014","journal-title":"Nat Commun"},{"key":"10.1016\/j.crad.2026.107359_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e30411","article-title":"Predicting glioblastoma recurrence using multiparametric MR imaging of non-enhancing peritumoral regions at baseline","volume":"10","author":"Xing","year":"2024","journal-title":"Heliyon"},{"key":"10.1016\/j.crad.2026.107359_bib38","first-page":"853","article-title":"Do cerebral blood volume and contrast transfer coefficient predict prognosis in human glioma?","volume":"27","author":"Mills","year":"2006","journal-title":"AJNR Am J Neuroradiol"}],"container-title":["Clinical Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926026001352?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926026001352?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T08:10:32Z","timestamp":1782461432000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009926026001352"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":38,"alternative-id":["S0009926026001352"],"URL":"https:\/\/doi.org\/10.1016\/j.crad.2026.107359","relation":{},"ISSN":["0009-9260"],"issn-type":[{"value":"0009-9260","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diffusion-weighted imaging and dynamic susceptibility contrast-enhanced perfusion-weighted imaging of the non-enhancing peritumoural region predict overall survival in glioblastoma","name":"articletitle","label":"Article Title"},{"value":"Clinical Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crad.2026.107359","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Royal College of Radiologists. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"107359"}}