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Subcategorization of ultrasonographic BI-RADS category 4: positive predictive value and clinical factors affecting it.

DC Field Value Language
dc.contributor.author곽진영-
dc.contributor.author김민정-
dc.contributor.author김은경-
dc.contributor.author문희정-
dc.contributor.author윤정현-
dc.date.accessioned2014-12-20T16:29:59Z-
dc.date.available2014-12-20T16:29:59Z-
dc.date.issued2011-
dc.identifier.issn0301-5629-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/92831-
dc.description.abstractThe objective of this study was to evaluate the positive predictive value (PPV) in ultrasonographically (US)-detected breast lesions of BI-RADS category 4a, 4b and 4c and to find how various clinical factors influenced the PPV of category 4. A total of 2142 women with 2430 breast lesions diagnosed on US as BI-RADS category 4 and underwent biopsy were included. Among them, 452 (18.6%) were pathologically confirmed as malignancy. PPV of each US BI-RADS subcategory was 7.6% (149/1963) for category 4a, 37.8% (68/180) for category 4b and 81.9% (235/287) for category 4c. Several clinical factors were more significantly seen in malignancy of category 4a and 4b, whereas none of the factors showed significance in category 4c. Subcategorization of category 4 is a feasible method in predicting malignancy in which patients' age, lack of multiplicity and symptoms affected the PPV of category 4 lesions.-
dc.description.statementOfResponsibilityopen-
dc.format.extent693~699-
dc.relation.isPartOfULTRASOUND IN MEDICINE AND BIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHBreast/pathology*-
dc.subject.MESHBreast Neoplasms/diagnostic imaging*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHNeoplasm Staging*-
dc.subject.MESHObserver Variation-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHUltrasonography, Mammary/classification*-
dc.titleSubcategorization of ultrasonographic BI-RADS category 4: positive predictive value and clinical factors affecting it.-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorMin Jung Kim-
dc.contributor.googleauthorHee Jung Moon-
dc.contributor.googleauthorJin Young Kwak-
dc.contributor.googleauthorEun-Kyung Kim-
dc.identifier.doi10.1016/j.ultrasmedbio.2011.02.009-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00473-
dc.contributor.localIdA00182-
dc.contributor.localIdA00801-
dc.contributor.localIdA01397-
dc.contributor.localIdA02595-
dc.relation.journalcodeJ02769-
dc.identifier.eissn1879-291X-
dc.identifier.pmid21458145-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0301562911001049-
dc.subject.keywordBreast-
dc.subject.keywordUltrasound (US)-
dc.subject.keywordBI-RADS-
dc.subject.keywordUS-guided biopsy-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.alternativeNameKim, Min Jung-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.alternativeNameMoon, Heui Jeong-
dc.contributor.alternativeNameYoon, Jung Hyun-
dc.contributor.affiliatedAuthorKim, Min Jung-
dc.contributor.affiliatedAuthorKwak, Jin Young-
dc.contributor.affiliatedAuthorKim, Eun-Kyung-
dc.contributor.affiliatedAuthorMoon, Heui Jeong-
dc.contributor.affiliatedAuthorYoon, Jung Hyun-
dc.rights.accessRightsnot free-
dc.citation.volume37-
dc.citation.number5-
dc.citation.startPage693-
dc.citation.endPage699-
dc.identifier.bibliographicCitationULTRASOUND IN MEDICINE AND BIOLOGY, Vol.37(5) : 693-699, 2011-
dc.identifier.rimsid28784-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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