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Texture Analysis to Differentiate Malignant Renal Tumors in Children Using Gray-Scale Ultrasonography Images

DC FieldValueLanguage
dc.contributor.author곽진영-
dc.contributor.author김명준-
dc.contributor.author신현주-
dc.contributor.author윤혜성-
dc.contributor.author이미정-
dc.contributor.author한경화-
dc.date.accessioned2019-09-20T08:00:30Z-
dc.date.available2019-09-20T08:00:30Z-
dc.date.issued2019-
dc.identifier.issn0301-5629-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/171161-
dc.description.abstractWe assessed the feasibility of texture analysis to differentiate Wilms tumor, clear cell sarcoma and rhabdoid tumor of the kidney in children using gray-scale ultrasonography images. Children who had pre-operative renal ultrasonography images of the three tumors from January 2002 to February 2017 were retrospectively included as the test set, and children with the same criteria from March 2017 to December 2018 were included as the validation set. From histogram and second-order statistics, features were compared between the tumors, and diagnostic performances were assessed. Among a total of 32 children (24 children with Wilms tumors, five children with clear cell sarcomas and three children with rhabdoid tumors) from the test set, features from the second-order statistics showed an area under the curve greater than 0.89 for differentiating Wilms tumor from the others. These features aided in the differentiation of tumor type in the two children with Wilms tumors in the validation set. Therefore, texture analysis from gray-scale ultrasonography images can be used to differentiate Wilms tumors from clear cell sarcomas and rhabdoid tumors in children.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherPergamon Press-
dc.relation.isPartOfUltrasound in Medicine and Biology-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleTexture Analysis to Differentiate Malignant Renal Tumors in Children Using Gray-Scale Ultrasonography Images-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorHyun Joo Shin-
dc.contributor.googleauthorJin Young Kwak-
dc.contributor.googleauthorEunjung Lee-
dc.contributor.googleauthorMi-Jung Lee-
dc.contributor.googleauthorHaesung Yoon-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorMyung-Joon Kim-
dc.identifier.doi10.1016/j.ultrasmedbio.2019.03.017-
dc.contributor.localIdA00182-
dc.contributor.localIdA00425-
dc.contributor.localIdA00425-
dc.contributor.localIdA02178-
dc.contributor.localIdA02178-
dc.contributor.localIdA04989-
dc.contributor.localIdA04989-
dc.contributor.localIdA02774-
dc.contributor.localIdA02774-
dc.relation.journalcodeJ02769-
dc.identifier.eissn1879-291X-
dc.identifier.pmid31076232-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0301562919301322-
dc.subject.keywordChildren-
dc.subject.keywordMalignancy-
dc.subject.keywordRenal tumor-
dc.subject.keywordTexture analysis-
dc.subject.keywordUltrasonography-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.affiliatedAuthor곽진영-
dc.contributor.affiliatedAuthor김명준-
dc.contributor.affiliatedAuthor김명준-
dc.contributor.affiliatedAuthor신현주-
dc.contributor.affiliatedAuthor신현주-
dc.contributor.affiliatedAuthor윤혜성-
dc.contributor.affiliatedAuthor윤혜성-
dc.contributor.affiliatedAuthor이미정-
dc.contributor.affiliatedAuthor이미정-
dc.citation.volume45-
dc.citation.number8-
dc.citation.startPage2205-
dc.citation.endPage2212-
dc.identifier.bibliographicCitationUltrasound in Medicine and Biology, Vol.45(8) : 2205-2212, 2019-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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