{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T10:18:57Z","timestamp":1770977937574,"version":"3.50.1"},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["World Neurosurgery"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1016\/j.wneu.2022.10.097","type":"journal-article","created":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T03:11:32Z","timestamp":1667272292000},"page":"e180-e187","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Supratentorial Meningioma Consistency Prediction Utilizing Tumor to Cerebellar Peduncle Intensity on T1 and T2-Weighted and Fluid Attenuated Inversion Recovery Magnetic Resonance Imaging Sequences"],"prefix":"10.1016","volume":"170","author":[{"given":"Shervin","family":"Rabiee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel Berchi","family":"Kankam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milad","family":"Shafizadeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Ahmadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Khoshnevisan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amirpajman","family":"Hashemi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.wneu.2022.10.097_bib1","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1055\/s-0034-1543965","article-title":"Predicting consistency of meningioma by magnetic resonance imaging","volume":"76","author":"Smith","year":"2015","journal-title":"J\u00a0Neurol Surg B Skull Base"},{"key":"10.1016\/j.wneu.2022.10.097_bib2","doi-asserted-by":"crossref","first-page":"E1","DOI":"10.3171\/2013.8.FOCUS13274","article-title":"A\u00a0proposed grading system for standardizing tumor consistency of intracranial meningiomas","volume":"35","author":"Zada","year":"2013","journal-title":"Neurosurg Focus"},{"key":"10.1016\/j.wneu.2022.10.097_bib3","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1007\/s00701-012-1427-9","article-title":"Predictors of meningioma consistency: a study in 243 consecutive cases","volume":"154","author":"Sitthinamsuwan","year":"2012","journal-title":"Acta Neurochir"},{"key":"10.1016\/j.wneu.2022.10.097_bib4","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.clineuro.2018.04.025","article-title":"Preoperative MRI evaluation of meningioma consistency: a focus on detailed architectures","volume":"169","author":"Phuttharak","year":"2018","journal-title":"Clin Neurol Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib5","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s13244-015-0403-3","article-title":"Magnetic Resonance Fingerprinting-a promising new approach to obtain standardized imaging biomarkers from MRI","volume":"6","year":"2015","journal-title":"Insights Imaging"},{"key":"10.1016\/j.wneu.2022.10.097_bib6","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.clineuro.2010.11.008","article-title":"1H-MRS of intracranial meningiomas: what it can add to known clinical and MRI predictors of the histopathological and biological characteristics of the tumor?","volume":"113","author":"Chernov","year":"2011","journal-title":"Clin Neurol Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib7","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1002\/jmri.20658","article-title":"Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging","volume":"24","author":"Madabhushi","year":"2006","journal-title":"J\u00a0Magn Reson Imaging"},{"key":"10.1016\/j.wneu.2022.10.097_bib8","doi-asserted-by":"crossref","first-page":"347120","DOI":"10.1155\/2012\/347120","article-title":"Alzheimer's disease neuroimaging initiative. Tissue-based MRI intensity standardization: application to multicentric datasets","volume":"2012","author":"Robitaille","year":"2012","journal-title":"Int J Biomed Imaging"},{"key":"10.1016\/j.wneu.2022.10.097_bib9","first-page":"242","article-title":"Meningioma consistency prediction utilizing tumor to cerebellar peduncle intensity on T2-weighted magnetic resonance imaging sequences: TCTI ratio","volume":"126","author":"Smith","year":"2017","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib10","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1118\/1.1869572","article-title":"Method for a detailed measurement of image intensity nonuniformity in magnetic resonance imaging","volume":"32","author":"Wang","year":"2005","journal-title":"Med Phys"},{"key":"10.1016\/j.wneu.2022.10.097_bib11","first-page":"784","article-title":"Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging","volume":"107","author":"Kashimura","year":"2007","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib12","first-page":"643","article-title":"Preoperative assessment of meningioma stiffness using magnetic resonance elastography","volume":"118","author":"Murphy","year":"2013","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib13","doi-asserted-by":"crossref","first-page":"142","DOI":"10.4103\/2152-7806.85983","article-title":"Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency","volume":"2","author":"Hoover","year":"2011","journal-title":"Surg Neurol Int"},{"key":"10.1016\/j.wneu.2022.10.097_bib14","doi-asserted-by":"crossref","first-page":"e1147","DOI":"10.1016\/j.wneu.2020.11.113","article-title":"Meningioma consistency can be defined by combining the radiomic features of magnetic resonance imaging and ultrasound elastography. A pilot study using machine learning classifiers","volume":"146","author":"Cepeda","year":"2021","journal-title":"World Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib15","first-page":"1015","article-title":"Magnetic resonance imaging and pathological correlates of meningiomas","volume":"31","author":"Chen","year":"1992","journal-title":"Neurosurgery"},{"key":"10.1016\/j.wneu.2022.10.097_bib16","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1097\/00004424-199501000-00008","article-title":"Relaxometry of noncalcified human meningiomas. Correlation with histology and solids content","volume":"30","author":"Kasoff","year":"1995","journal-title":"Invest Radiol"},{"key":"10.1016\/j.wneu.2022.10.097_bib17","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/S0720-048X(98)00083-7","article-title":"Intracranial meningiomas: correlations between MR imaging and histology","volume":"31","author":"Maiuri","year":"1999","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.wneu.2022.10.097_bib18","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/BF01400871","article-title":"Meningiomas: correlation between MRI characteristics and operative findings including consistency","volume":"129","author":"Suzuki","year":"1994","journal-title":"Acta Neurochir"},{"key":"10.1016\/j.wneu.2022.10.097_bib19","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1227\/00006123-199503000-00006","article-title":"Magnetic resonance imaging of cystic meningiomas and its surgical implications","volume":"36","author":"Zee","year":"1995","journal-title":"Neurosurgery"},{"key":"10.1016\/j.wneu.2022.10.097_bib20","doi-asserted-by":"crossref","first-page":"276","DOI":"10.3174\/ajnr.A5014","article-title":"The \u201cwhite gray sign\u201d identifies the central sulcus on 3T high-resolution T1-weighted images","volume":"38","author":"Kaneko","year":"2017","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.wneu.2022.10.097_bib21","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1177\/0284185115578323","article-title":"Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity","volume":"57","author":"Watanabe","year":"2016","journal-title":"Acta Radiol"},{"key":"10.1016\/j.wneu.2022.10.097_bib22","doi-asserted-by":"crossref","first-page":"324","DOI":"10.4103\/1793-5482.228515","article-title":"Meningioma consistency: correlation between magnetic resonance imaging characteristics, operative findings, and histopathological features","volume":"13","author":"Alyamany","year":"2018","journal-title":"Asian J Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib23","doi-asserted-by":"crossref","first-page":"e484","DOI":"10.1016\/j.wneu.2021.10.135","article-title":"Usefulness of T2 relaxation Time for quantitative prediction of meningioma consistency","volume":"157","author":"Yamada","year":"2022","journal-title":"World Neurosurg"},{"key":"10.1016\/j.wneu.2022.10.097_bib24","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1016\/S0090-3019(96)00439-9","article-title":"Prediction of consistency of meningiomas with preoperative magnetic resonance imaging","volume":"48","author":"Yamaguchi","year":"1997","journal-title":"Surg Neurol"},{"key":"10.1016\/j.wneu.2022.10.097_bib25","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1007\/BF00588715","article-title":"MRI of intracranial meningiomas: correlations with histology and physical consistency","volume":"35","author":"Carpeggiani","year":"1993","journal-title":"Neuroradiology"}],"container-title":["World Neurosurgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878875022015157?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878875022015157?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T09:17:57Z","timestamp":1761815877000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1878875022015157"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":25,"alternative-id":["S1878875022015157"],"URL":"https:\/\/doi.org\/10.1016\/j.wneu.2022.10.097","relation":{},"ISSN":["1878-8750"],"issn-type":[{"value":"1878-8750","type":"print"}],"subject":[],"published":{"date-parts":[[2023,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Supratentorial Meningioma Consistency Prediction Utilizing Tumor to Cerebellar Peduncle Intensity on T1 and T2-Weighted and Fluid Attenuated Inversion Recovery Magnetic Resonance Imaging Sequences","name":"articletitle","label":"Article Title"},{"value":"World Neurosurgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.wneu.2022.10.097","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}