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A Radiomics Approach for the Classification of Fibroepithelial Lesions on Breast Ultrasonography

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dc.contributor.author김성원-
dc.contributor.author김은경-
dc.contributor.author이시은-
dc.date.accessioned2020-06-17T00:54:38Z-
dc.date.available2020-06-17T00:54:38Z-
dc.date.issued2020-05-
dc.identifier.issn0301-5629-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/176177-
dc.description.abstractA radiomics-based classifier to distinguish phyllodes tumor and fibroadenoma on gray-scale breast ultrasonography was developed and validated. A total of 93 radiomics features were extracted from representative transverse plane ultrasound images of 182 fibroepithelial lesions initially diagnosed by core needle biopsy. High-throughput radiomics features were selected using the intra-class correlation coefficient between two radiologist readers and the Least Absolute Shrinkage and Selection Operator regression through 10-fold cross-validation. When applied to the validation set, the radiomics classifier for the differentiation of phyllodes tumors and benign/fibroadenomas achieved an area under the receiver operating characteristic curve of 0.765 (95% confidence interval [CI]: 0.597-0.888) with an accuracy of 0.703 (sensitivity: 0.857; specificity: 0.5). Our radiomics signature-based classifier may help predict phyllodes tumors among fibroepithelial lesions on breast ultrasonography.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherPergamon Press-
dc.relation.isPartOfULTRASOUND IN MEDICINE AND BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleA Radiomics Approach for the Classification of Fibroepithelial Lesions on Breast Ultrasonography-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorYongsik Sim-
dc.contributor.googleauthorSi Eun Lee-
dc.contributor.googleauthorEun-Kyung Kim-
dc.contributor.googleauthorSungwon Kim-
dc.identifier.doi10.1016/j.ultrasmedbio.2020.01.015-
dc.contributor.localIdA05309-
dc.contributor.localIdA00801-
dc.contributor.localIdA00801-
dc.contributor.localIdA05611-
dc.contributor.localIdA05611-
dc.relation.journalcodeJ02769-
dc.identifier.eissn1879-291X-
dc.identifier.pmid32102739-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0301562920300417-
dc.subject.keywordBreast ultrasonography-
dc.subject.keywordClassification-
dc.subject.keywordFeature selection-
dc.subject.keywordFibroepithelial lesion-
dc.subject.keywordRadiomics-
dc.contributor.alternativeNameKim, Sungwon-
dc.contributor.affiliatedAuthor김성원-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor이시은-
dc.contributor.affiliatedAuthor이시은-
dc.citation.volume46-
dc.citation.number5-
dc.citation.startPage1133-
dc.citation.endPage1141-
dc.identifier.bibliographicCitationULTRASOUND IN MEDICINE AND BIOLOGY, Vol.46(5) : 1133-1141, 2020-05-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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