{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T05:31:26Z","timestamp":1739338286731,"version":"3.37.0"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalradiologyonline.net","clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Radiology"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1016\/j.crad.2024.106792","type":"journal-article","created":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T16:10:40Z","timestamp":1735575040000},"page":"106792","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Prediction of meningioma subtypes using qualitative assessment of fractional anisotropy maps"],"prefix":"10.1016","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6902-2801","authenticated-orcid":false,"given":"P.P.","family":"Baishya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Jabeen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Kulanthaivelu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5218-0264","authenticated-orcid":false,"given":"J.","family":"Saini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1300-9808","authenticated-orcid":false,"given":"A.","family":"Indoria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Chakrabarti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.N.","family":"Nandeesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.K.","family":"Konar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Beniwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.crad.2024.106792_bib1","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1148\/radiol.11110576","article-title":"Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics","volume":"262","author":"Wang","year":"2012","journal-title":"Radiology"},{"key":"10.1016\/j.crad.2024.106792_bib2","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s00401-007-0243-4","article-title":"The 2007 WHO classification of tumours of the central nervous system","volume":"114","author":"Louis","year":"2007","journal-title":"Acta Neuropathol"},{"key":"10.1016\/j.crad.2024.106792_bib3","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1111\/j.1365-2990.2004.00621.x","article-title":"The accuracy of meningioma grading: a 10-year retrospective audit","volume":"31","author":"Willis","year":"2005","journal-title":"Neuropathol Appl Neurobiol"},{"key":"10.1016\/j.crad.2024.106792_bib4","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1016\/S1474-4422(06)70625-1","article-title":"Histological classification and molecular genetics of meningiomas","volume":"5","author":"Riemenschneider","year":"2006","journal-title":"Lancet Neurol"},{"key":"10.1016\/j.crad.2024.106792_bib5","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.3171\/2014.7.JNS132359","article-title":"Correlation between magnetic resonance imaging grading and pathological grading in meningioma","volume":"121","author":"Lin","year":"2014","journal-title":"J Neurosurg"},{"key":"10.1016\/j.crad.2024.106792_bib6","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1016\/j.ejrad.2012.11.037","article-title":"Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI","volume":"82","author":"Watanabe","year":"2013","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.crad.2024.106792_bib7","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 (Wien)"},{"key":"10.1016\/j.crad.2024.106792_bib8","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.crad.2024.106792_bib9","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1006\/jmrb.1996.0086","article-title":"Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI","volume":"111","author":"Basser","year":"1996","journal-title":"J Magn Reson B"},{"key":"10.1016\/j.crad.2024.106792_bib10","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1023\/A:1023977520909","article-title":"Measurement of fractional anisotropy using diffusion tensor MRI in supratentorial astrocytic tumors","volume":"63","author":"Beppu","year":"2003","journal-title":"J Neurooncol"},{"key":"10.1016\/j.crad.2024.106792_bib11","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.surneu.2004.02.034","article-title":"Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas","volume":"63","author":"Beppu","year":"2005","journal-title":"Surg Neurol"},{"key":"10.1016\/j.crad.2024.106792_bib12","first-page":"937","article-title":"Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors","volume":"24","author":"Lu","year":"2003","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2024.106792_bib13","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1227\/01.NEU.0000170980.47582.A5","article-title":"Diagnosis and treatment of atypical and anaplastic meningiomas: a review","volume":"57","author":"Modha","year":"2005","journal-title":"Neurosurgery"},{"key":"10.1016\/j.crad.2024.106792_bib14","doi-asserted-by":"crossref","first-page":"e383","DOI":"10.1016\/S1470-2045(16)30321-7","article-title":"EANO guidelines for the diagnosis and treatment of meningiomas","volume":"17","author":"Goldbrunner","year":"2016","journal-title":"Lancet Oncol"},{"key":"10.1016\/j.crad.2024.106792_bib15","doi-asserted-by":"crossref","first-page":"784","DOI":"10.3171\/JNS-07\/10\/0784","article-title":"Prediction of meningioma consistency using fractional anisotropy value measured by magnetic resonance imaging","volume":"107","author":"Kashimura","year":"2007","journal-title":"J Neurosurg"},{"key":"10.1016\/j.crad.2024.106792_bib16","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.tranon.2015.11.012","article-title":"Diffusion-weighted imaging in meningioma: prediction of tumor grade and association with histopathological parameters","volume":"8","author":"Surov","year":"2015","journal-title":"Transl Oncol"},{"key":"10.1016\/j.crad.2024.106792_bib17","article-title":"Diagnostic value of apparent diffusion coefficient for the accurate assessment and differentiation of intracranial meningiomas","volume":"2","author":"Bano","year":"2013","journal-title":"Acta Radiol Short Rep"},{"key":"10.1016\/j.crad.2024.106792_bib18","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.3174\/ajnr.A0996","article-title":"Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation","volume":"29","author":"Nagar","year":"2008","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2024.106792_bib19","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.ejrnm.2017.10.004","article-title":"Differentiation between benign and atypical cranial Meningiomas. Can ADC Mmeasurement help? MRI findings with hystopathologial correlation","volume":"49","author":"Abdel-Kerim","year":"2018","journal-title":"Egypt J Radiol Nucl Med"},{"key":"10.1016\/j.crad.2024.106792_bib20","doi-asserted-by":"crossref","first-page":"W456","DOI":"10.2214\/AJR.10.4886","article-title":"Correlation of apparent diffusion coefficient and fractional anisotropy values in the developing infant brain","volume":"195","author":"Provenzale","year":"2010","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.crad.2024.106792_bib21","series-title":"2002-2023, PathologyOutlines.com","article-title":"WHO grading of meningiomas","author":"Ahrendsen","year":"2023"},{"key":"10.1016\/j.crad.2024.106792_bib22","doi-asserted-by":"crossref","first-page":"374","DOI":"10.3174\/ajnr.A2267","article-title":"Diffusion tensor MR imaging of cerebral gliomas: evaluating fractional anisotropy characteristics","volume":"32","author":"White","year":"2011","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2024.106792_bib23","doi-asserted-by":"crossref","first-page":"1630","DOI":"10.3174\/ajnr.A1170","article-title":"Differentiation between classic and atypical meningiomas with use of diffusion tensor imaging","volume":"29","author":"Toh","year":"2008","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.crad.2024.106792_bib24","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"},{"key":"10.1016\/j.crad.2024.106792_bib25","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1002\/jmri.20887","article-title":"Differentiation of fibroblastic meningiomas from other benign subtypes using diffusion tensor imaging","volume":"25","author":"Tropine","year":"2007","journal-title":"J Magn Reson Imag"},{"key":"10.1016\/j.crad.2024.106792_bib26","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.neurad.2010.03.001","article-title":"Role of diffusion tensor imaging in differentiating subtypes of meningiomas","volume":"37","author":"Jolapara","year":"2010","journal-title":"J Neuroradiol"},{"key":"10.1016\/j.crad.2024.106792_bib27","doi-asserted-by":"crossref","first-page":"4068","DOI":"10.1007\/s00330-018-5830-3","article-title":"Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging","volume":"29","author":"Park","year":"2019","journal-title":"Eur Radiol"},{"key":"10.1016\/j.crad.2024.106792_bib28","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.nurt.2007.05.011","article-title":"Diffusion tensor imaging of the brain","volume":"4","author":"Alexander","year":"2007","journal-title":"Neurotherapeutics"},{"key":"10.1016\/j.crad.2024.106792_bib29","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"},{"key":"10.1016\/j.crad.2024.106792_bib30","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.crad.2024.106792_bib31","series-title":"2002-2023, PathologyOutlines.com","article-title":"Meningioma","author":"Cai","year":"2023"},{"key":"10.1016\/j.crad.2024.106792_bib32","doi-asserted-by":"crossref","DOI":"10.1155\/2014\/650939","article-title":"Differentiation of benign angiomatous and microcystic meningiomas with extensive peritumoral edema from high grade meningiomas with aid of diffusion weighted MRI","volume":"2014","author":"Azizyan","year":"2014","journal-title":"Biomed Res Int"},{"year":"2000","series-title":"Pathology and genetics of tumours of the nervous system","author":"Kleihues","key":"10.1016\/j.crad.2024.106792_bib33"},{"key":"10.1016\/j.crad.2024.106792_bib34","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1007\/s00701-010-0657-y","article-title":"Diffusion-weighted imaging does not predict histological grading in meningiomas","volume":"152","author":"Santelli","year":"2010","journal-title":"Acta Neurochir (Wien)"},{"key":"10.1016\/j.crad.2024.106792_bib35","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1016\/j.wneu.2015.10.049","article-title":"Use of diffusion weighted imaging in differentiating between maligant and benign meningiomas. A multicenter analysis","volume":"88","author":"Surov","year":"2016","journal-title":"World Neurosurg"}],"container-title":["Clinical Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926024006792?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0009926024006792?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T23:08:58Z","timestamp":1739315338000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0009926024006792"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":35,"alternative-id":["S0009926024006792"],"URL":"https:\/\/doi.org\/10.1016\/j.crad.2024.106792","relation":{},"ISSN":["0009-9260"],"issn-type":[{"type":"print","value":"0009-9260"}],"subject":[],"published":{"date-parts":[[2025,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prediction of meningioma subtypes using qualitative assessment of fractional anisotropy maps","name":"articletitle","label":"Article Title"},{"value":"Clinical Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crad.2024.106792","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 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":"106792"}}