{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T06:09:13Z","timestamp":1790834953851,"version":"4.1.0"},"reference-count":44,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroradiology"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1016\/j.neurad.2018.05.006","type":"journal-article","created":{"date-parts":[[2018,6,27]],"date-time":"2018-06-27T18:47:08Z","timestamp":1530125228000},"page":"179-185","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"title":["Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors"],"prefix":"10.1016","volume":"46","author":[{"given":"J.","family":"Uthoff","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F.A.","family":"De Stefano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.","family":"Panzer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.W.","family":"Darbro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.S.","family":"Sato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Khanna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.E.","family":"Quelle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.K.","family":"Meyerholz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Weimer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.C.","family":"Sieren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neurad.2018.05.006_bib0225","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1055\/s-0036-1579766","article-title":"Neurofibromatosis: a review of NF1, NF2, and schwannomatosis","volume":"5","author":"Kresak","year":"2016","journal-title":"J Pediat Genet"},{"key":"10.1016\/j.neurad.2018.05.006_bib0230","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1001\/jama.1997.03550010065042","article-title":"The diagnostic evaluation and multidisciplinary management of neurofibromatosis 1 and neurofibromatosis 2","volume":"278","author":"Gutmann","year":"1997","journal-title":"JAMA"},{"key":"10.1016\/j.neurad.2018.05.006_bib0235","series-title":"Handbook of clinical neurology","first-page":"75","article-title":"Chapter 4 - Neurofibromatosis type 1","author":"Anderson","year":"2015"},{"key":"10.1016\/j.neurad.2018.05.006_bib0240","doi-asserted-by":"crossref","first-page":"S33","DOI":"10.1212\/01.wnl.0000435744.57038.af","article-title":"Recommendations for imaging tumor response in neurofibromatosis clinical trials","volume":"81","author":"Dombi","year":"2013","journal-title":"Neurology"},{"key":"10.1016\/j.neurad.2018.05.006_bib0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0143305","article-title":"Nerve sheath tumors in neurofibromatosis type 1: assessment of whole-body metabolic tumor burden using F-18-FDG PET\/CT","volume":"10","author":"Salamon","year":"2015","journal-title":"PloS one"},{"key":"10.1016\/j.neurad.2018.05.006_bib0250","first-page":"431029","article-title":"Usefulness of whole-body fluorine-18-fluorodeoxyglucose positron emission tomography in patients with neurofibromatosis type 1: a systematic review","volume":"2012","author":"Treglia","year":"2012","journal-title":"Radiol Res Pract"},{"key":"10.1016\/j.neurad.2018.05.006_bib0255","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1093\/annonc\/mdm450","article-title":"[18F]2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) as a diagnostic tool for neurofibromatosis 1 (NF1) associated malignant peripheral nerve sheath tumours (MPNSTs): a long-term clinical study","volume":"19","author":"Ferner","year":"2008","journal-title":"Ann Oncol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0260","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/s00330-013-3020-x","article-title":"18F-FDG PET\/CT for detection of malignant peripheral nerve sheath tumours in neurofibromatosis type 1: tumour-to-liver ratio is superior to an SUVmax cut-off","volume":"24","author":"Salamon","year":"2014","journal-title":"Eur Radiol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0265","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1007\/s11548-013-0961-0","article-title":"PNist: interactive volumetric measurements of plexiform neurofibromas in MRI scans","volume":"9","author":"Weizman","year":"2014","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"10.1016\/j.neurad.2018.05.006_bib0270","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.compmedimag.2004.03.002","article-title":"Automated detection and volume measurement of plexiform neurofibromas in neurofibromatosis 1 using magnetic resonance imaging","volume":"28","author":"Solomon","year":"2004","journal-title":"Comput Med Imaging Graph"},{"key":"10.1016\/j.neurad.2018.05.006_bib0275","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1148\/radiol.2503080700","article-title":"Tumor burden in patients with neurofibromatosis types 1 and 2 and schwannomatosis: determination on whole-body MR images","volume":"250","author":"Cai","year":"2009","journal-title":"Radiology"},{"key":"10.1016\/j.neurad.2018.05.006_bib0280","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1007\/s00432-008-0523-y","article-title":"Differentiation between neurofibromas and malignant peripheral nerve sheath tumors in neurofibromatosis 1 evaluated by MRI","volume":"135","author":"Matsumine","year":"2009","journal-title":"J Can Res Clin Oncol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0285","doi-asserted-by":"crossref","first-page":"1568","DOI":"10.2214\/AJR.09.2724","article-title":"MRI features in the differentiation of malignant peripheral nerve sheath tumors and neurofibromas","volume":"194","author":"Wasa","year":"2010","journal-title":"AJNR Am J Roentgenol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0290","doi-asserted-by":"crossref","first-page":"e19","DOI":"10.1097\/RLU.0b013e318266ce84","article-title":"Comparative effectiveness of 18F-FDG PET\/CT versus whole-body MRI for detection of malignant peripheral nerve sheath tumors in neurofibromatosis type 1","volume":"38","author":"Derlin","year":"2013","journal-title":"Clin Nucl Med"},{"key":"10.1016\/j.neurad.2018.05.006_bib0295","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1007\/s002470050082","article-title":"MR imaging differentiation of benign and malignant peripheral nerve sheath tumors: use of the target sign","volume":"27","author":"Bhargava","year":"1997","journal-title":"Pediatr Radiol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0300","doi-asserted-by":"crossref","first-page":"1615","DOI":"10.3174\/ajnr.A3910","article-title":"Conventional and functional MR imaging of peripheral nerve sheath tumors: initial experience","volume":"35","author":"Demehri","year":"2014","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0305","doi-asserted-by":"crossref","first-page":"3519","DOI":"10.1038\/s41598-017-02425-5","article-title":"Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer","volume":"7","author":"Yip","year":"2017","journal-title":"Sci Rep"},{"key":"10.1016\/j.neurad.2018.05.006_bib0310","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":"J Magn Reson Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0315","series-title":"Engineering and algorithm design for an image processing API: a technical report on ITK-the insight toolkit. Studies in health technology and informatics","first-page":"586","author":"Yoo","year":"2002"},{"key":"10.1016\/j.neurad.2018.05.006_bib0320","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/42.845174","article-title":"Parametric estimate of intensity inhomogeneities applied to MRI","volume":"19","author":"Styner","year":"2000","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0325","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.mri.2003.09.001","article-title":"Influence of MRI acquisition protocols and image intensity normalization methods on texture classification","volume":"22","author":"Collewet","year":"2004","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0330","first-page":"6991","article-title":"Use of the CT component of PET-CT to improve PET-MR registration: demonstration in soft-tissue sarcoma","volume":"52","author":"Somer","year":"2007","journal-title":"PhysMed Biol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0335","series-title":"Rapid texture identification. 24th annual technical symposium: International Society for Optics and Photonics","first-page":"376","author":"Laws","year":"1980"},{"key":"10.1016\/j.neurad.2018.05.006_bib0340","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","article-title":"Textural features for image classification","volume":"3","author":"Haralick","year":"1973","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"10.1016\/j.neurad.2018.05.006_bib0345","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1109\/21.44046","article-title":"Textural features corresponding to textural properties","volume":"19","author":"Amadasun","year":"1989","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"10.1016\/j.neurad.2018.05.006_bib0350","doi-asserted-by":"crossref","first-page":"163","DOI":"10.2307\/1403192","article-title":"A test for normality of observations and regression residuals","volume":"55","author":"Jarque","year":"1987","journal-title":"Int Stat Rev"},{"key":"10.1016\/j.neurad.2018.05.006_bib0355","first-page":"278","article-title":"Robust tests for equality of variances","volume":"1","author":"Levene","year":"1960","journal-title":"Contrib Probability Stat"},{"key":"10.1016\/j.neurad.2018.05.006_bib0360","series-title":"Clustering by means of medoids","first-page":"405","author":"Kaufman","year":"1987"},{"key":"10.1016\/j.neurad.2018.05.006_bib0365","article-title":"Improved pulmonary nodule classification utilizing quantitative lung parenchyma features","volume":"2","author":"Dilger","year":"2015","journal-title":"J Med Imaging (Bellingham Wash)"},{"key":"10.1016\/j.neurad.2018.05.006_bib0370","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1148\/radiol.2016152037","article-title":"MR fingerprinting for rapid quantitative abdominal imaging","volume":"279","author":"Chen","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.neurad.2018.05.006_bib0375","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1038\/nature11971","article-title":"Magnetic resonance fingerprinting","volume":"495","author":"Ma","year":"2013","journal-title":"Nature"},{"key":"10.1016\/j.neurad.2018.05.006_bib0380","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.3174\/ajnr.A5227","article-title":"Synthetic MRI for clinical neuroimaging: results of the Magnetic Resonance Image Compilation (MAGiC) prospective, multicenter. Multireader Trial","volume":"38","author":"Tanenbaum","year":"2017","journal-title":"AJNR Am J Neuroradiol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0385","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1007\/s00259-012-2314-6","article-title":"Evaluation of intratumoural heterogeneity on (1)(8)F-FDG PET\/CT for characterization of peripheral nerve sheath tumours in neurofibromatosis type 1","volume":"40","author":"Salamon","year":"2013","journal-title":"Eur J Nuclear Med Mol Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0390","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0151809","article-title":"Metabolic tumour burden measured by 18F-FDG PET\/CT predicts malignant transformation in patients with neurofibromatosis Type-1","volume":"11","author":"Van Der Gucht","year":"2016","journal-title":"PloS one"},{"key":"10.1016\/j.neurad.2018.05.006_bib0395","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1007\/s00259-010-1386-4","article-title":"Utility of positron emission tomography for tumour surveillance in children with neurofibromatosis type 1","volume":"37","author":"Moharir","year":"2010","journal-title":"Eur J Nuclear Med Mol Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0400","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1007\/s00259-008-1038-0","article-title":"[18F]FDG PET\/CT in the diagnosis of malignant peripheral nerve sheath tumours in neurofibromatosis type-1","volume":"36","author":"Warbey","year":"2009","journal-title":"Eur J Nuclear Med Mol Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0405","doi-asserted-by":"crossref","first-page":"1845","DOI":"10.1007\/s00259-017-3733-1","article-title":"Characterisation of malignant peripheral nerve sheath tumours in neurofibromatosis-1 using heterogeneity analysis of 18F-FDG PET","volume":"44","author":"Cook","year":"2017","journal-title":"Eur J Nuclear Med Mol Imaging"},{"key":"10.1016\/j.neurad.2018.05.006_bib0410","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1002\/cncr.24755","article-title":"Quantitative F18-fluorodeoxyglucose positron emission tomography accurately characterizes peripheral nerve sheath tumors as malignant or benign","volume":"116","author":"Benz","year":"2010","journal-title":"Cancer"},{"key":"10.1016\/j.neurad.2018.05.006_bib0415","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0085954","article-title":"Utility of 18F-FDG PET with a semi-quantitative index in the detection of sarcomatous transformation in patients with neurofibromatosis type 1","volume":"9","author":"Combemale","year":"2014","journal-title":"PloS one"},{"key":"10.1016\/j.neurad.2018.05.006_bib0420","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1007\/s00256-016-2394-7","article-title":"Evaluation of (18)F-FDG PET and MRI in differentiating benign and malignant peripheral nerve sheath tumors","volume":"45","author":"Broski","year":"2016","journal-title":"Skeletal Radiol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0425","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1245\/s10434-012-2573-2","article-title":"Oncologic outcomes of sporadic, neurofibromatosis-associated, and radiation-induced malignant peripheral nerve sheath tumors","volume":"20","author":"LaFemina","year":"2013","journal-title":"Ann Surg Oncol"},{"key":"10.1016\/j.neurad.2018.05.006_bib0430","doi-asserted-by":"crossref","DOI":"10.1369\/0022155417729357","article-title":"Immunohistochemical markers for prospective studies in neurofibromatosis-1 porcine models","author":"Meyerholz","year":"2017","journal-title":"J Histochem Cytochem"},{"key":"10.1016\/j.neurad.2018.05.006_bib0435","doi-asserted-by":"crossref","unstructured":"White KA, Swier VJ, Cain JT, et al. A porcine model of neurofibromatosis type 1 (NF1) that mimics the human disease, JCI Insight, 2018: 3. [JCI insight Under revision at JCI Insight E-pub ahead of print https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/29925695].","DOI":"10.1172\/jci.insight.120402"},{"key":"10.1016\/j.neurad.2018.05.006_bib0440","doi-asserted-by":"crossref","first-page":"899","DOI":"10.3174\/ajnr.A5124","article-title":"Multiparametric evaluation in differentiating glioma recurrence from treatment-induced necrosis using simultaneous (18)F-FDG-PET\/MRI: a Single-Institution Retrospective Study","volume":"38","author":"Jena","year":"2017","journal-title":"AJNR Am J Neuroradiol"}],"container-title":["Journal of Neuroradiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0150986117305199?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0150986117305199?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T10:42:45Z","timestamp":1758969765000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0150986117305199"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":44,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["S0150986117305199"],"URL":"https:\/\/doi.org\/10.1016\/j.neurad.2018.05.006","relation":{},"ISSN":["0150-9861"],"issn-type":[{"value":"0150-9861","type":"print"}],"subject":[],"published":{"date-parts":[[2019,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroradiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neurad.2018.05.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier Masson SAS. All rights reserved.","name":"copyright","label":"Copyright"}]}}