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Radiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAFV600E mutations in papillary thyroid carcinoma

DC FieldValueLanguage
dc.contributor.author곽진영-
dc.contributor.author김은경-
dc.contributor.author남기현-
dc.contributor.author문희정-
dc.contributor.author박영진-
dc.contributor.author윤정현-
dc.contributor.author이잔디-
dc.contributor.author김은경-
dc.contributor.author남기현-
dc.contributor.author문희정-
dc.contributor.author박영진-
dc.contributor.author윤정현-
dc.contributor.author이잔디-
dc.date.accessioned2020-04-13T16:48:08Z-
dc.date.available2020-04-13T16:48:08Z-
dc.date.issued2020-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/175519-
dc.description.abstractPURPOSE: To evaluate whether if ultrasonography (US)-based radiomics enables prediction of the presence of BRAFV600E mutations among patients diagnosed as papillary thyroid carcninoma (PTC). METHODS: From December 2015 to May 2017, 527 patients who had been treated surgically for PTC were included (training: 387, validation: 140). All patients had BRAFV600E mutation analysis performed on surgical specimen. Feature extraction was performed using preoperative US images of the 527 patients (mean size of PTC: 16.4mm±7.9, range, 10-85 mm). A Radiomics Score was generated by using the least absolute shrinkage and selection operator (LASSO) regression model. Univariable/multivariable logistic regression analysis was performed to evaluate the factors including Radiomics Score in predicting BRAFV600E mutation. Subgroup analysis including conventional PTC <20-mm (n = 389) was performed (training: 280, validation: 109). RESULTS: Of the 527 patients diagnosed with PTC, 428 (81.2%) were positive and 99 (18.8%) were negative for BRAFV600E mutation. In both total 527 cancers and 389 conventional PTC<20-mm, Radiomics Score was the single factor showing significant association to the presence of BRAFV600E mutation on multivariable analysis (all P<0.05). C-statistics for the validation set in the total cancers and the conventional PTCs<20-mm were lower than that of the training set: 0.629 (95% CI: 0.516-0.742) to 0.718 (95% CI: 0.650-0.786), and 0.567 (95% CI: 0.434-0.699) to 0.729 (95% CI: 0.632-0.826), respectively. CONCLUSION: Radiomics features extracted from US has limited value as a non-invasive biomarker for predicting the presence of BRAFV600E mutation status of PTC regardless of size.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherPublic Library of Science-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleRadiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAFV600E mutations in papillary thyroid carcinoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorEunjung Lee-
dc.contributor.googleauthorJandee Lee-
dc.contributor.googleauthorEun-Kyung Kim-
dc.contributor.googleauthorHee Jung Moon-
dc.contributor.googleauthorVivian Youngjean Park-
dc.contributor.googleauthorKee Hyun Nam-
dc.contributor.googleauthorJin Young Kwak-
dc.identifier.doi10.1371/journal.pone.0228968-
dc.contributor.localIdA00182-
dc.contributor.localIdA00801-
dc.contributor.localIdA00801-
dc.contributor.localIdA01245-
dc.contributor.localIdA01245-
dc.contributor.localIdA01397-
dc.contributor.localIdA01397-
dc.contributor.localIdA01572-
dc.contributor.localIdA01572-
dc.contributor.localIdA02595-
dc.contributor.localIdA02595-
dc.contributor.localIdA03066-
dc.contributor.localIdA03066-
dc.contributor.localIdA00801-
dc.contributor.localIdA00801-
dc.contributor.localIdA01245-
dc.contributor.localIdA01245-
dc.contributor.localIdA01397-
dc.contributor.localIdA01397-
dc.contributor.localIdA01572-
dc.contributor.localIdA01572-
dc.contributor.localIdA02595-
dc.contributor.localIdA02595-
dc.contributor.localIdA03066-
dc.contributor.localIdA03066-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid32053670-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.affiliatedAuthor곽진영-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor남기현-
dc.contributor.affiliatedAuthor남기현-
dc.contributor.affiliatedAuthor문희정-
dc.contributor.affiliatedAuthor문희정-
dc.contributor.affiliatedAuthor박영진-
dc.contributor.affiliatedAuthor박영진-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이잔디-
dc.contributor.affiliatedAuthor이잔디-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor남기현-
dc.contributor.affiliatedAuthor남기현-
dc.contributor.affiliatedAuthor문희정-
dc.contributor.affiliatedAuthor문희정-
dc.contributor.affiliatedAuthor박영진-
dc.contributor.affiliatedAuthor박영진-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이잔디-
dc.contributor.affiliatedAuthor이잔디-
dc.citation.volume15-
dc.citation.number2-
dc.citation.startPagee0228968-
dc.identifier.bibliographicCitationPLOS ONE, Vol.15(2) : e0228968, 2020-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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