{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T16:36:45Z","timestamp":1763656605238,"version":"3.45.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T00:00:00Z","timestamp":1763596800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T00:00:00Z","timestamp":1763596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-025-01941-5","type":"journal-article","created":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T16:32:52Z","timestamp":1763656372000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessing inter-rater reliability of MRI features in glioma: a multi-radiologist agreement study"],"prefix":"10.1186","volume":"25","author":[{"given":"Alisa","family":"Mohebbi","sequence":"first","affiliation":[]},{"given":"Saeed","family":"Mohammadzadeh","sequence":"additional","affiliation":[]},{"given":"Amir Hessam","family":"Zare","sequence":"additional","affiliation":[]},{"given":"Zahra","family":"Moradi","sequence":"additional","affiliation":[]},{"given":"Ali Abbasian","family":"Ardakani","sequence":"additional","affiliation":[]},{"given":"Afshin","family":"Mohammadi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,20]]},"reference":[{"key":"1941_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-031-23705-8_1","volume":"1405","author":"LM Wang","year":"2023","unstructured":"Wang LM, Englander ZK, Miller ML, Bruce JN. Malignant glioma. Adv Exp Med Biol. 2023;1405:1\u201330.","journal-title":"Adv Exp Med Biol"},{"issue":"suppl4","key":"1941_CR2","doi-asserted-by":"publisher","first-page":"iv1","DOI":"10.1093\/neuonc\/noy131","volume":"20","author":"QT Ostrom","year":"2018","unstructured":"Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2011\u20132015. Neuro Oncol. 2018;20(suppl4):iv1\u201386.","journal-title":"Neuro Oncol"},{"issue":"1","key":"1941_CR3","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/s00701-025-06593-6","volume":"167","author":"A Falk Delgado","year":"2025","unstructured":"Falk Delgado A. Advances of MR imaging in glioma: what the neurosurgeon needs to know. Acta Neurochir. 2025;167(1):174.","journal-title":"Acta Neurochir"},{"issue":"23","key":"1941_CR4","doi-asserted-by":"publisher","first-page":"37884","DOI":"10.18632\/oncotarget.14180","volume":"8","author":"YC Hu","year":"2017","unstructured":"Hu YC, Yan LF, Sun Q, Liu ZC, Wang SM, Han Y, et al. Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading. Oncotarget. 2017;8(23):37884\u201395.","journal-title":"Oncotarget"},{"issue":"7","key":"1941_CR5","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. The diagnosis and treatment of pseudoprogression, radiation necrosis and brain tumor recurrence. Int J Mol Sci. 2014;15(7):11832\u201346.","journal-title":"Int J Mol Sci"},{"key":"1941_CR6","doi-asserted-by":"crossref","unstructured":"Almalki YE, Basha MAA, Metwally MI, Zeed NA, Nada MG, Alduraibi SK et al. Validating brain tumor reporting and data system (BT-RADS) as a diagnostic tool for glioma follow-up after surgery. Biomedicines. 2024;12(4).","DOI":"10.3390\/biomedicines12040887"},{"issue":"3","key":"1941_CR7","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.rxeng.2024.03.002","volume":"66","author":"A Pons-Escoda","year":"2024","unstructured":"Pons-Escoda A, Majos C, Smits M, Oleaga L. Presurgical diagnosis of diffuse gliomas in adults: Post-WHO 2021 practical perspectives from radiologists in neuro-oncology units. Radiologia (Engl Ed). 2024;66(3):260\u201377.","journal-title":"Radiologia (Engl Ed)"},{"issue":"5","key":"1941_CR8","doi-asserted-by":"publisher","first-page":"e249018","DOI":"10.1148\/rycan.249018","volume":"6","author":"ML Wegscheid","year":"2024","unstructured":"Wegscheid ML, Jennings JW. VASARI glioma features: insights into their impact and performance. Radiol Imaging Cancer. 2024;6(5):e249018.","journal-title":"Radiol Imaging Cancer"},{"key":"1941_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41582-021-00510-y","volume":"17","author":"M Smits","year":"2021","unstructured":"Smits M. MRI biomarkers in neuro-oncology. Nat Reviews Neurol. 2021;17:1\u201315.","journal-title":"Nat Reviews Neurol"},{"issue":"8","key":"1941_CR10","doi-asserted-by":"publisher","first-page":"3306","DOI":"10.1007\/s00330-018-5314-5","volume":"28","author":"SC Thust","year":"2018","unstructured":"Thust SC, Heiland S, Falini A, J\u00e4ger HR, Waldman AD, Sundgren PC, et al. Glioma imaging in europe: A survey of 220 centres and recommendations for best clinical practice. Eur Radiol. 2018;28(8):3306\u201317.","journal-title":"Eur Radiol"},{"issue":"52","key":"1941_CR11","doi-asserted-by":"publisher","first-page":"e23766","DOI":"10.1097\/MD.0000000000023766","volume":"99","author":"L Wang","year":"2020","unstructured":"Wang L, Wei L, Wang J, Li N, Gao Y, Ma H, et al. Evaluation of perfusion MRI value for tumor progression assessment after glioma radiotherapy: A systematic review and meta-analysis. Med (Baltim). 2020;99(52):e23766.","journal-title":"Med (Baltim)"},{"issue":"8","key":"1941_CR12","doi-asserted-by":"publisher","first-page":"1053","DOI":"10.3174\/ajnr.A8274","volume":"45","author":"A Azizova","year":"2024","unstructured":"Azizova A, Prysiazhniuk Y, Wamelink I, Petr J, Barkhof F, Keil VC. Ten years of VASARI glioma features: systematic review and meta-analysis of their impact and performance. AJNR Am J Neuroradiol. 2024;45(8):1053\u201362.","journal-title":"AJNR Am J Neuroradiol"},{"key":"1941_CR13","unstructured":"Scarpace L, Flanders A, Jain R, Mikkelsen T, Andrews D. Data from REMBRANDT [Data set]. The Cancer Imaging Archive. 2019."},{"key":"1941_CR14","unstructured":"Gwet K. Handbook of inter-rater reliability: the definitive guide to measuring the extent of agreement among raters. 2012."},{"issue":"1","key":"1941_CR15","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1038\/s41597-022-01415-1","volume":"9","author":"A Sayah","year":"2022","unstructured":"Sayah A, Bencheqroun C, Bhuvaneshwar K, Belouali A, Bakas S, Sako C, et al. Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features. Sci Data. 2022;9(1):338.","journal-title":"Sci Data"},{"issue":"4","key":"1941_CR16","first-page":"626","volume":"40","author":"KM Schmainda","year":"2019","unstructured":"Schmainda KM, Prah MA, Hu LS, Quarles CC, Semmineh N, Rand SD, et al. Moving toward a consensus DSC-MRI protocol: validation of a low\u2013flip angle single-dose option as a reference standard for brain tumors. Am J Neuroradiol. 2019;40(4):626\u201333.","journal-title":"Am J Neuroradiol"},{"key":"1941_CR17","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.clinimag.2022.10.011","volume":"93","author":"B Sacli-Bilmez","year":"2023","unstructured":"Sacli-Bilmez B, Firat Z, Topcuoglu OM, Yaltirik K, Ture U, Ozturk-Isik E. Identifying overall survival in 98 glioblastomas using VASARI features at 3T. Clin Imaging. 2023;93:86\u201392.","journal-title":"Clin Imaging"},{"issue":"1","key":"1941_CR18","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1186\/s40644-024-00754-z","volume":"24","author":"Y Han","year":"2024","unstructured":"Han Y, Wang YY, Yang Y, Qiao SQ, Liu ZC, Cui GB, et al. Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis. Cancer Imaging: Official Publication Int Cancer Imaging Soc. 2024;24(1):109.","journal-title":"Cancer Imaging: Official Publication Int Cancer Imaging Soc"},{"key":"1941_CR19","doi-asserted-by":"publisher","first-page":"16822","DOI":"10.1038\/srep16822","volume":"5","author":"E Rios Velazquez","year":"2015","unstructured":"Rios Velazquez E, Meier R, Dunn WD Jr., Alexander B, Wiest R, Bauer S, et al. Fully automatic GBM segmentation in the TCGA-GBM dataset: prognosis and correlation with VASARI features. Sci Rep. 2015;5:16822.","journal-title":"Sci Rep"},{"key":"1941_CR20","doi-asserted-by":"crossref","unstructured":"Peeken JC, Hesse J, Haller B, Kessel KA, N\u00fcsslin F, Combs SE. Semantic imaging features predict disease progression and survival in glioblastoma multiforme patients. Strahlentherapie und Onkologie: Organ der Deutschen Rontgengesellschaft. 2018;194(6):580\u201390.","DOI":"10.1007\/s00066-018-1276-4"},{"key":"1941_CR21","doi-asserted-by":"publisher","first-page":"4129","DOI":"10.1007\/s00330-017-4789-9","volume":"27","author":"BR van Dijken","year":"2017","unstructured":"van Dijken BR, van Laar PJ, Holtman GA, van der Hoorn A. Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis. Eur Radiol. 2017;27:4129\u201344.","journal-title":"Eur Radiol"},{"key":"1941_CR22","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.mri.2020.09.017","volume":"74","author":"Y Lu","year":"2020","unstructured":"Lu Y, Patel M, Natarajan K, Ughratdar I, Sanghera P, Jena R, et al. Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma. Magn Reson Imaging. 2020;74:161\u201370.","journal-title":"Magn Reson Imaging"},{"issue":"6","key":"1941_CR23","doi-asserted-by":"publisher","first-page":"796","DOI":"10.5152\/dir.2021.20624","volume":"27","author":"\u0130\u00d6 Yeni\u00e7eri","year":"2021","unstructured":"Yeni\u00e7eri \u0130\u00d6, Y\u0131ld\u0131z ME, \u00d6zduman K, Danyeli AE, Pamir MN, Din\u00e7er A. The reliability and interobserver reproducibility of T2\/FLAIR mismatch in the diagnosis of IDH-mutant Astrocytomas. Diagn Interventional Radiol. 2021;27(6):796.","journal-title":"Diagn Interventional Radiol"},{"issue":"4","key":"1941_CR24","doi-asserted-by":"publisher","first-page":"101190","DOI":"10.1016\/j.neurad.2024.03.001","volume":"51","author":"NY Ebaid","year":"2024","unstructured":"Ebaid NY, Ahmed RN, Assy MM, Amin MI, Eldin AMA, Alsowey AM, et al. Diagnostic validity and reliability of BT-RADS in the management of recurrent high-grade glioma. J Neuroradiol. 2024;51(4):101190.","journal-title":"J Neuroradiol"},{"key":"1941_CR25","doi-asserted-by":"publisher","first-page":"1267615","DOI":"10.3389\/fradi.2023.1267615","volume":"3","author":"F Sanvito","year":"2023","unstructured":"Sanvito F, Kaufmann TJ, Cloughesy TF, Wen PY, Ellingson BM. Standardized brain tumor imaging protocols for clinical trials: current recommendations and tips for integration. Front Radiol. 2023;3:1267615.","journal-title":"Front Radiol"},{"issue":"1","key":"1941_CR26","doi-asserted-by":"publisher","first-page":"19898","DOI":"10.1038\/s41598-019-56333-x","volume":"9","author":"P Due-T\u00f8nnessen","year":"2019","unstructured":"Due-T\u00f8nnessen P, Pinho MC, Emblem KE, Hald JK, Kanoto M, Abildgaard A, et al. The impact of MRI features and observer confidence on the treatment decision-making for patients with untreated glioma. Sci Rep. 2019;9(1):19898.","journal-title":"Sci Rep"},{"issue":"1","key":"1941_CR27","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/s40644-023-00638-8","volume":"24","author":"NH Setyawan","year":"2024","unstructured":"Setyawan NH, Choridah L, Nugroho HA, Malueka RG, Dwianingsih EK. Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas. Cancer Imaging: Official Publication Int Cancer Imaging Soc. 2024;24(1):3.","journal-title":"Cancer Imaging: Official Publication Int Cancer Imaging Soc"},{"key":"1941_CR28","doi-asserted-by":"crossref","unstructured":"Wegscheid ML, Jennings JW. VASARI glioma features: insights into their impact and performance. Radiol: Imaging Cancer. 2024;6(5):e249018.","DOI":"10.1148\/rycan.249018"},{"issue":"8","key":"1941_CR29","doi-asserted-by":"publisher","first-page":"5320","DOI":"10.1007\/s00330-024-10611-z","volume":"34","author":"A Pons-Escoda","year":"2024","unstructured":"Pons-Escoda A, Garcia-Ruiz A, Naval-Baudin P, Martinez-Zalacain I, Castell J, Camins A, et al. Differentiating IDH-mutant Astrocytomas and 1p19q-codeleted oligodendrogliomas using DSC-PWI: high performance through cerebral blood volume and percentage of signal recovery percentiles. Eur Radiol. 2024;34(8):5320\u201330.","journal-title":"Eur Radiol"},{"issue":"8","key":"1941_CR30","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1007\/s00234-024-03385-0","volume":"66","author":"A Pons-Escoda","year":"2024","unstructured":"Pons-Escoda A, Naval-Baudin P, Viveros M, Flores-Casaperalta S, Martinez-Zalaca\u00edn I, Plans G, et al. DSC-PWI presurgical differentiation of grade 4 Astrocytoma and glioblastoma in young adults: rCBV percentile analysis across enhancing and non-enhancing regions. Neuroradiology. 2024;66(8):1267\u201377.","journal-title":"Neuroradiology"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01941-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-025-01941-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01941-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T16:32:54Z","timestamp":1763656374000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-025-01941-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,20]]},"references-count":30,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1941"],"URL":"https:\/\/doi.org\/10.1186\/s12880-025-01941-5","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,20]]},"assertion":[{"value":"2 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All participants provided written informed consent. We adhered to the principles outlined in the Declaration of Helsinki. Institutional review board of the Thomas Jefferson University approved our dataset.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human ethics and consent to participate"}},{"value":"N\/A.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Animal study"}},{"value":"N\/A.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"480"}}