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MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas

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dc.contributor.author장종희-
dc.contributor.author김세훈-
dc.contributor.author박예원-
dc.contributor.author박채정-
dc.contributor.author이승구-
dc.contributor.author최윤성-
dc.contributor.author안성수-
dc.date.accessioned2020-09-29T01:08:12Z-
dc.date.available2020-09-29T01:08:12Z-
dc.date.issued2020-06-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/179409-
dc.description.abstractPurpose: To identify significant prognostic magnetic resonance imaging (MRI) features and their prognostic value when added to clinical features in patients with isocitrate dehydrogenase wild-type (IDHwt) lower-grade gliomas. Materials and methods: Preoperative MR images of 158 patients (discovery set = 112, external validation set = 46) with IDHwt lower-grade gliomas (WHO grade II or III) were retrospectively analyzed using the Visually Accessible Rembrandt Images feature set. Radiologic risk scores (RRSs) for overall survival were derived from the least absolute shrinkage and selection operator and elastic net. Multivariable Cox regression analysis, including age, Karnofsky Performance score, extent of resection, WHO grade, and RRS, was performed. The added prognostic value of RRS was calculated by comparing the integrated area under the receiver operating characteristic curve (iAUC) between models with and without RRS. Results: The presence of cysts, pial invasion, and cortical involvement were favorable prognostic factors, while ependymal extension, multifocal or multicentric distribution, nonlobar location, proportion of necrosis > 33%, satellites, and eloquent cortex involvement were significantly associated with worse prognosis. RRS independently predicted survival and significantly enhanced model performance for survival prediction when integrated to clinical features (iAUC increased to 0.773-0.777 from 0.737), which was successfully validated on the validation set (iAUC increased to 0.805-0.830 from 0.735). Conclusion: MRI features associated with prognosis in patients with IDHwt lower-grade gliomas were identified. RRSs derived from MRI features independently predicted survival and significantly improved performance of survival prediction models when integrated into clinical features. Key points: • Comprehensive analysis of MRI features conveys prognostic information in patients with isocitrate dehydrogenase wild-type lower-grade gliomas. • Presence of cysts, pial invasion, and cortical involvement of the tumor were favorable prognostic factors. • Radiological phenotypes derived from MRI independently predict survival and have the potential to improve survival prediction when added to clinical features.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleMR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurosurgery (신경외과학교실)-
dc.contributor.googleauthorChae Jung Park-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorHaesol Shin-
dc.contributor.googleauthorSung Soo Ahn-
dc.contributor.googleauthorYoon Seong Choi-
dc.contributor.googleauthorYae Won Park-
dc.contributor.googleauthorJong Hee Chang-
dc.contributor.googleauthorSe Hoon Kim-
dc.contributor.googleauthorRajan Jain-
dc.contributor.googleauthorSeung-Koo Lee-
dc.identifier.doi10.1007/s00330-020-06683-2-
dc.contributor.localIdA03470-
dc.contributor.localIdA00610-
dc.contributor.localIdA05330-
dc.contributor.localIdA04942-
dc.contributor.localIdA02912-
dc.contributor.localIdA04137-
dc.contributor.localIdA02234-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid32060714-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00330-020-06683-2-
dc.subject.keywordGlioma-
dc.subject.keywordIsocitrate dehydrogenase-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordPrognosis-
dc.subject.keywordSurvival-
dc.contributor.alternativeNameChang, Jong Hee-
dc.contributor.affiliatedAuthor장종희-
dc.contributor.affiliatedAuthor김세훈-
dc.contributor.affiliatedAuthor박예원-
dc.contributor.affiliatedAuthor박채정-
dc.contributor.affiliatedAuthor이승구-
dc.contributor.affiliatedAuthor최윤성-
dc.contributor.affiliatedAuthor안성수-
dc.citation.volume30-
dc.citation.number6-
dc.citation.startPage3035-
dc.citation.endPage3045-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.30(6) : 3035-3045, 2020-06-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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