{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T22:14:03Z","timestamp":1792188843104,"version":"4.4.0"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T00:00:00Z","timestamp":1672185600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T00:00:00Z","timestamp":1672185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072358"],"award-info":[{"award-number":["62072358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2019YFB1311600"],"award-info":[{"award-number":["2019YFB1311600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-022-09365-3","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T01:02:33Z","timestamp":1672189353000},"page":"3332-3342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Diffusion-weighted imaging and arterial spin labeling radiomics features may improve differentiation between radiation-induced brain injury and glioma recurrence"],"prefix":"10.1007","volume":"33","author":[{"given":"Jun","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yulin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifei","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangming","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cuiping","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2911-3653","authenticated-orcid":false,"given":"Lin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,28]]},"reference":[{"key":"9365_CR1","doi-asserted-by":"publisher","first-page":"i1","DOI":"10.1093\/neuonc\/noab200","volume":"23","author":"QT Ostrom","year":"2021","unstructured":"Ostrom QT, Cioffi G, Waite K, Kruchko C, Barnholtz-Sloan JS (2021) CBTRUS Statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2014-2018. Neuro Oncol 23:i1\u2013i105","journal-title":"Neuro Oncol"},{"key":"9365_CR2","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1038\/s41571-020-00447-z","volume":"18","author":"M Weller","year":"2021","unstructured":"Weller M, van den Bent M, Preusser M et al (2021) EANO guidelines on the diagnosis and treatment of diffuse gliomas of adulthood. Nat Rev Clin Oncol 18:170\u2013186","journal-title":"Nat Rev Clin Oncol"},{"key":"9365_CR3","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1056\/NEJMoa043330","volume":"352","author":"R Stupp","year":"2005","unstructured":"Stupp R, Mason WP, van den Bent MJ et al (2005) Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 352:987\u2013996","journal-title":"N Engl J Med"},{"key":"9365_CR4","doi-asserted-by":"publisher","first-page":"11832","DOI":"10.3390\/ijms150711832","volume":"15","author":"K Parvez","year":"2014","unstructured":"Parvez K, Parvez A, Zadeh G (2014) The diagnosis and treatment of pseudoprogression, radiation necrosis and brain tumor recurrence. Int J Mol Sci 15:11832\u201311846","journal-title":"Int J Mol Sci"},{"key":"9365_CR5","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1093\/neuonc\/nou129","volume":"17","author":"A Radbruch","year":"2015","unstructured":"Radbruch A, Fladt J, Kickingereder P et al (2015) Pseudoprogression in patients with glioblastoma: clinical relevance despite low incidence. Neuro Oncol 17:151\u2013159","journal-title":"Neuro Oncol"},{"key":"9365_CR6","first-page":"197","volume":"46","author":"CB Wilson","year":"1977","unstructured":"Wilson CB, Crafts D, Levin V (1977) Brain tumors: criteria of response and definition of recurrence. Natl Cancer Inst Monogr 46:197\u2013203","journal-title":"Natl Cancer Inst Monogr"},{"key":"9365_CR7","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s00795-015-0123-2","volume":"48","author":"M Furuse","year":"2015","unstructured":"Furuse M, Nonoguchi N, Kawabata S, Miyatake S, Kuroiwa T (2015) Delayed brain radiation necrosis: pathological review and new molecular targets for treatment. Med Mol Morphol 48:183\u2013190","journal-title":"Med Mol Morphol"},{"key":"9365_CR8","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/s00062-017-0584-x","volume":"28","author":"AW Abbasi","year":"2018","unstructured":"Abbasi AW, Westerlaan HE, Holtman GA, Aden KM, van Laar PJ, van der Hoorn A (2018) Incidence of tumour progression and pseudoprogression in high-grade gliomas: a systematic review and meta-analysis. Clin Neuroradiol 28:401\u2013411","journal-title":"Clin Neuroradiol"},{"key":"9365_CR9","first-page":"719","volume":"19","author":"SE van West","year":"2017","unstructured":"van West SE, de Bruin HG, van de Langerijt B, Swaak-Kragten AT, van den Bent MJ, Taal W (2017) Incidence of pseudoprogression in low-grade gliomas treated with radiotherapy. Neuro Oncol 19:719\u2013725","journal-title":"Neuro Oncol"},{"key":"9365_CR10","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1093\/neuonc\/now256","volume":"19","author":"H Zhou","year":"2017","unstructured":"Zhou H, Vallieres M, Bai HX et al (2017) MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro Oncol 19:862\u2013870","journal-title":"Neuro Oncol"},{"key":"9365_CR11","doi-asserted-by":"publisher","first-page":"877","DOI":"10.3174\/ajnr.A4218","volume":"36","author":"AJ Prager","year":"2015","unstructured":"Prager AJ, Martinez N, Beal K, Omuro A, Zhang Z, Young RJ (2015) Diffusion and perfusion MRI to differentiate treatment-related changes including pseudoprogression from recurrent tumors in high-grade gliomas with histopathologic evidence. AJNR Am J Neuroradiol 36:877\u2013885","journal-title":"AJNR Am J Neuroradiol"},{"key":"9365_CR12","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1093\/neuonc\/noy133","volume":"21","author":"JY Kim","year":"2019","unstructured":"Kim JY, Park JE, Jo Y et al (2019) Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients. Neuro Oncol 21:404\u2013414","journal-title":"Neuro Oncol"},{"key":"9365_CR13","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1007\/s00234-015-1571-z","volume":"57","author":"M Grade","year":"2015","unstructured":"Grade M, Hernandez TJ, Pizzini FB, Achten E, Golay X, Smits M (2015) A neuroradiologist\u2019s guide to arterial spin labeling MRI in clinical practice. Neuroradiology 57:1181\u20131202","journal-title":"Neuroradiology"},{"key":"9365_CR14","doi-asserted-by":"crossref","unstructured":"Thust SC, van den Bent MJ, Smits M (2018) Pseudoprogression of brain tumors. J Magn Reson Imaging 48:571\u2013589","DOI":"10.1002\/jmri.26171"},{"key":"9365_CR15","first-page":"1061","volume":"22","author":"M Jovanovic","year":"2017","unstructured":"Jovanovic M, Radenkovic S, Stosic-Opincal T et al (2017) Differentiation between progression and pseudoprogresion by arterial spin labeling MRI in patients with glioblastoma multiforme. J BUON 22:1061\u20131067","journal-title":"J BUON"},{"key":"9365_CR16","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s11060-020-03475-y","volume":"147","author":"P Manning","year":"2020","unstructured":"Manning P, Daghighi S, Rajaratnam MK et al (2020) Differentiation of progressive disease from pseudoprogression using 3D PCASL and DSC perfusion MRI in patients with glioblastoma. J Neurooncol 147:681\u2013690","journal-title":"J Neurooncol"},{"key":"9365_CR17","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s00234-017-1955-3","volume":"60","author":"A Razek","year":"2018","unstructured":"Razek A, El-Serougy L, Abdelsalam M, Gaballa G, Talaat M (2018) Differentiation of residual\/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics. Neuroradiology 60:169\u2013177","journal-title":"Neuroradiology"},{"key":"9365_CR18","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.acra.2009.10.024","volume":"17","author":"Y Ozsunar","year":"2010","unstructured":"Ozsunar Y, Mullins ME, Kwong K et al (2010) Glioma recurrence versus radiation necrosis? A pilot comparison of arterial spin-labeled, dynamic susceptibility contrast enhanced MRI, and FDG-PET imaging. Acad Radiol 17:282\u2013290","journal-title":"Acad Radiol"},{"key":"9365_CR19","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar R, Deist TM et al (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14:749\u2013762","journal-title":"Nat Rev Clin Oncol"},{"key":"9365_CR20","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.1200\/JCO.2009.26.3541","volume":"28","author":"PY Wen","year":"2010","unstructured":"Wen PY, Macdonald DR, Reardon DA et al (2010) Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 28:1963\u20131972","journal-title":"J Clin Oncol"},{"key":"9365_CR21","doi-asserted-by":"publisher","first-page":"S28","DOI":"10.2217\/cns-2018-0007","volume":"8","author":"UN Chukwueke","year":"2019","unstructured":"Chukwueke UN, Wen PY (2019) Use of the Response Assessment in Neuro-Oncology (RANO) criteria in clinical trials and clinical practice. CNS Oncol 8:S28","journal-title":"CNS Oncol"},{"key":"9365_CR22","doi-asserted-by":"publisher","first-page":"422","DOI":"10.3414\/ME16-01-0033","volume":"55","author":"T Hepp","year":"2016","unstructured":"Hepp T, Schmid M, Gefeller O, Waldmann E, Mayr A (2016) Approaches to regularized regression - a comparison between gradient boosting and the Lasso. Methods Inf Med 55:422\u2013430","journal-title":"Methods Inf Med"},{"key":"9365_CR23","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.3174\/ajnr.A3876","volume":"35","author":"J Cha","year":"2014","unstructured":"Cha J, Kim ST, Kim HJ et al (2014) Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis. AJNR Am J Neuroradiol 35:1309\u20131317","journal-title":"AJNR Am J Neuroradiol"},{"key":"9365_CR24","doi-asserted-by":"publisher","first-page":"382","DOI":"10.3174\/ajnr.A2286","volume":"32","author":"DS Kong","year":"2011","unstructured":"Kong DS, Kim ST, Kim EH et al (2011) Diagnostic dilemma of pseudoprogression in the treatment of newly diagnosed glioblastomas: the role of assessing relative cerebral blood flow volume and oxygen-6-methylguanine-DNA methyltransferase promoter methylation status. AJNR Am J Neuroradiol 32:382\u2013387","journal-title":"AJNR Am J Neuroradiol"},{"key":"9365_CR25","doi-asserted-by":"publisher","first-page":"662","DOI":"10.3348\/kjr.2013.14.4.662","volume":"14","author":"YS Song","year":"2013","unstructured":"Song YS, Choi SH, Park CK et al (2013) True progression versus pseudoprogression in the treatment of glioblastomas: a comparison study of normalized cerebral blood volume and apparent diffusion coefficient by histogram analysis. Korean J Radiol 14:662\u2013672","journal-title":"Korean J Radiol"},{"key":"9365_CR26","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1016\/j.acra.2012.06.011","volume":"19","author":"WJ Lee","year":"2012","unstructured":"Lee WJ, Choi SH, Park CK et al (2012) Diffusion-weighted MR imaging for the differentiation of true progression from pseudoprogression following concomitant radiotherapy with temozolomide in patients with newly diagnosed high-grade gliomas. Acad Radiol 19:1353\u20131361","journal-title":"Acad Radiol"},{"key":"9365_CR27","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1258\/ar.2011.110242","volume":"53","author":"H Thomsen","year":"2012","unstructured":"Thomsen H, Steffensen E, Larsson EM (2012) Perfusion MRI (dynamic susceptibility contrast imaging) with different measurement approaches for the evaluation of blood flow and blood volume in human gliomas. Acta Radiol 53:95\u2013101","journal-title":"Acta Radiol"},{"key":"9365_CR28","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/j.crad.2021.03.019","volume":"76","author":"M Patel","year":"2021","unstructured":"Patel M, Zhan J, Natarajan K et al (2021) Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma. Clin Radiol 76:617\u2013628","journal-title":"Clin Radiol"},{"key":"9365_CR29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174620","volume":"12","author":"C Reimer","year":"2017","unstructured":"Reimer C, Deike K, Graf M et al (2017) Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps. PLoS One 12:e174620","journal-title":"PLoS One"},{"key":"9365_CR30","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1177\/0284185112474916","volume":"54","author":"YJ Choi","year":"2013","unstructured":"Choi YJ, Kim HS, Jahng GH, Kim SJ, Suh DC (2013) Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging. Acta Radiologica 54:448\u2013454","journal-title":"Acta Radiologica"},{"key":"9365_CR31","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.radonc.2018.01.009","volume":"129","author":"YL Wang","year":"2018","unstructured":"Wang YL, Chen S, Xiao HF et al (2018) Differentiation between radiation-induced brain injury and glioma recurrence using 3D pCASL and dynamic susceptibility contrast-enhanced perfusion-weighted imaging. Radiother Oncol 129:68\u201374","journal-title":"Radiother Oncol"},{"key":"9365_CR32","doi-asserted-by":"crossref","unstructured":"Gutsche R, Scheins J, Kocher M et al (2021) Evaluation of FET PET radiomics feature repeatability in glioma patients. Cancers (Basel) 13","DOI":"10.3390\/cancers13040647"},{"key":"9365_CR33","doi-asserted-by":"publisher","first-page":"890","DOI":"10.3174\/ajnr.A5112","volume":"38","author":"PD Chang","year":"2017","unstructured":"Chang PD, Malone HR, Bowden SG et al (2017) A multiparametric model for mapping cellularity in glioblastoma using radiographically localized biopsies. AJNR Am J Neuroradiol 38:890\u2013898","journal-title":"AJNR Am J Neuroradiol"},{"key":"9365_CR34","volume-title":"Texture analysis methods - a review","author":"A Materka","year":"1998","unstructured":"Materka A, Strzelecki M (1998) Texture analysis methods - a review. Institute of Electronics Technical University of Lodz"},{"key":"9365_CR35","doi-asserted-by":"publisher","first-page":"1986","DOI":"10.1007\/s00330-018-5704-8","volume":"29","author":"C Su","year":"2019","unstructured":"Su C, Jiang J, Zhang S et al (2019) Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour. Eur Radiol 29:1986\u20131996","journal-title":"Eur Radiol"},{"key":"9365_CR36","doi-asserted-by":"crossref","unstructured":"Ion-Margineanu A, Van Cauter S, Sima DM et al (2016) Classifying glioblastoma multiforme follow-up progressive vs. responsive forms using multi-parametric MRI features. Front Neurosci 10:615","DOI":"10.3389\/fnins.2016.00615"},{"key":"9365_CR37","doi-asserted-by":"publisher","first-page":"6121","DOI":"10.1038\/s41598-020-62658-9","volume":"10","author":"T Hashido","year":"2020","unstructured":"Hashido T, Saito S, Ishida T (2020) A radiomics-based comparative study on arterial spin labeling and dynamic susceptibility contrast perfusion-weighted imaging in gliomas. Sci Rep 10:6121","journal-title":"Sci Rep"},{"key":"9365_CR38","doi-asserted-by":"publisher","first-page":"3325","DOI":"10.1007\/s00330-019-06056-4","volume":"29","author":"Y Tan","year":"2019","unstructured":"Tan Y, Zhang ST, Wei JW et al (2019) A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery. Eur Radiol 29:3325\u20133337","journal-title":"Eur Radiol"},{"key":"9365_CR39","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1093\/neuonc\/noy033","volume":"20","author":"H Akbari","year":"2018","unstructured":"Akbari H, Bakas S, Pisapia JM et al (2018) In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature. Neuro Oncol 20:1068\u20131079","journal-title":"Neuro Oncol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09365-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-022-09365-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09365-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T08:06:39Z","timestamp":1682064399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-022-09365-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,28]]},"references-count":39,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["9365"],"URL":"https:\/\/doi.org\/10.1007\/s00330-022-09365-3","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,28]]},"assertion":[{"value":"24 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The scientific guarantor of this publication is Lin Ma, MD.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationship 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 interests"}},{"value":"One of the authors has significant statistical expertise (Guangming Zhu, 8 years of experience).","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"\u2022 Retrospective\u2022 Cross-sectional study\u2022 Performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}