{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T18:35:53Z","timestamp":1790706953897,"version":"4.1.0"},"reference-count":34,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T00:00:00Z","timestamp":1622764800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2021,11]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Preoperative, noninvasive discrimination of the craniopharyngioma subtypes is important because it influences the treatment strategy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To develop a radiomic model based on multiparametric magnetic resonance imaging for noninvasive discrimination of pathological subtypes of craniopharyngioma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>A total of 164 patients from two medical centers were enrolled in this study. Patients from the first medical center were divided into a training cohort (<jats:italic>N<\/jats:italic>\u00a0=\u00a099) and an internal validation cohort (<jats:italic>N<\/jats:italic>\u00a0=\u00a033). Patients from the second medical center were used as the external independent validation cohort (<jats:italic>N<\/jats:italic>\u00a0=\u00a032).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>Axial T<jats:sub>1<\/jats:sub>\u2010weighted (T<jats:sub>1<\/jats:sub>\u2010w), T<jats:sub>2<\/jats:sub>\u2010weighted (T<jats:sub>2<\/jats:sub>\u2010w), contrast\u2010enhanced T<jats:sub>1<\/jats:sub>\u2010weighted (CET<jats:sub>1<\/jats:sub>\u2010w) on 3.0\u2009T or 1.5\u2009T magnetic resonance scanners.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Pathological subtypes (squamous papillary craniopharyngioma and adamantinomatous craniopharyngioma) were confirmed by surgery and hematoxylin and eosin staining. Optimal radiomic feature selection was performed by SelectKBest, the least absolute shrinkage and selection operator algorithm, and support vector machine (SVM) with a recursive feature elimination algorithm. Models based on each sequence or combinations of sequences were built using a SVM classifier and used to differentiate pathological subtypes of craniopharyngioma in the training cohort, internal validation, and external validation cohorts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>The area under the receiver operating characteristic curve (AUC) was used to assess the diagnostic performance of the radiomic models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Seven texture features, three from T<jats:sub>1<\/jats:sub>\u2010w, two from T<jats:sub>2<\/jats:sub>\u2010w, and two from CET<jats:sub>1<\/jats:sub>\u2010w, were selected and used to construct the radiomic model. The AUC values of the radiomic model were 0.899, 0.810, and 0.920 in the training cohort, internal and external validation cohorts, respectively. The AUC values of the clinicoradiological model were 0.677, 0.655, and 0.671 in the training cohort, internal and external validation cohorts, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>The model based on radiomic features from T<jats:sub>1<\/jats:sub>\u2010w, T<jats:sub>2<\/jats:sub>\u2010w, and CET<jats:sub>1<\/jats:sub>\u2010w has a high discriminatory ability for pathological subtypes of craniopharyngioma.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>4<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>2<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.27761","type":"journal-article","created":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T13:55:32Z","timestamp":1622814932000},"page":"1541-1550","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Machine Learning\u2010Based Multiparametric Magnetic Resonance Imaging Radiomic Model for Discrimination of Pathological Subtypes of Craniopharyngioma"],"prefix":"10.1002","volume":"54","author":[{"given":"Zhou\u2010San","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Medical Imaging Nanfang Hospital, Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Nanfang Hospital, Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao\u2010Dan","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Nanfang Hospital, Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai\u2010Zhu","family":"Mo","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Nanfang Hospital, Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen\u2010Le","family":"He","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Guangdong 999 Brain Hospital  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao\u2010Hong","family":"Deng","sequence":"additional","affiliation":[{"name":"Yizhun Medical AI Co. Ltd  Beijing China"},{"name":"School of Biomedical Engineering Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li\u2010Jun","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan\u2010Kui","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Nanfang Hospital, Southern Medical University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Yizhun Medical AI Co. Ltd  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,6,4]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-019-0125-9"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.3171\/2014.10.PEDS143"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnen\/nly083"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1385\/EP:15:4:339"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng.2868"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.3171\/2017.1.JNS162232"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40478-016-0287-6"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1530\/EJE-15-0957"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1750-3639.2008.00180.x"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22297-4_3"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1055\/s-0036-1588060"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.3340\/jkns.2016.59.5.466"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.radcr.2020.04.022"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.12659\/PJR.889663"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21552"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2020.06.003"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.108892"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.00752"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-018-1216-z"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.3171\/2017.4.JNS163113"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2020.10.005"},{"key":"e_1_2_7_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27182"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2016160845"},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5221-1"},{"key":"e_1_2_7_27_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000349"},{"key":"e_1_2_7_28_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-11007-0"},{"key":"e_1_2_7_29_1","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/noy133"},{"key":"e_1_2_7_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.27024"},{"key":"e_1_2_7_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06601-1"},{"key":"e_1_2_7_32_1","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-16-2910"},{"key":"e_1_2_7_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11102-012-0418-4"},{"key":"e_1_2_7_34_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djv310"},{"key":"e_1_2_7_35_1","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.10501"}],"container-title":["Journal of Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jmri.27761","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/jmri.27761","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/jmri.27761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T02:43:54Z","timestamp":1692845034000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/jmri.27761"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,4]]},"references-count":34,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["10.1002\/jmri.27761"],"URL":"https:\/\/doi.org\/10.1002\/jmri.27761","archive":["Portico"],"relation":{},"ISSN":["1053-1807","1522-2586"],"issn-type":[{"value":"1053-1807","type":"print"},{"value":"1522-2586","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,4]]},"assertion":[{"value":"2021-02-22","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-19","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}