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Radiologist Assessment of Breast Density by BI-RADS Categories Versus Fully Automated Volumetric Assessment

DC Field Value Language
dc.contributor.author권혜미-
dc.contributor.author김정아-
dc.contributor.author손은주-
dc.contributor.author육지현-
dc.date.accessioned2014-12-18T09:12:31Z-
dc.date.available2014-12-18T09:12:31Z-
dc.date.issued2013-
dc.identifier.issn0361-803X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/87736-
dc.description.abstractOBJECTIVE: The objective of our study was to estimate mammographic breast density using a fully automated volumetric breast density measurement method in comparison with BI-RADS breast density categories determined by radiologists. MATERIALS AND METHODS: A total of 791 full-field digital mammography examinations with standard views were evaluated by three blinded radiologists as BI-RADS density categories 1-4. For fully automated volumetric analysis, volumetric breast density was calculated with fully automated software. The volume of fibroglandular tissue, the volume of the breast, and the volumetric percentage density were provided. RESULTS: The weighted overall kappa was 0.48 (moderate agreement) for the three radiologists' estimates of BI-RADS density. Pairwise comparisons of the radiologists' measurements of BI-RADS density revealed moderate to substantial agreement, with kappa values ranging from 0.51 to 0.64. There was a significant difference in mean volumetric breast density among the BI-RADS density categories, and the mean volumetric breast density increased as the BI-RADS density category increased (p<0.001). A significant positive correlation was found between BI-RADS categories and fully automated volumetric breast density (ρ=0.765, p<0.001). CONCLUSION: Our study showed good correlation of the fully automated volumetric method with radiologist-assigned BI-RADS density categories. Mammographic density assessment with the fully automated volumetric method may be used to assign BI-RADS density categories.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfAMERICAN JOURNAL OF ROENTGENOLOGY-
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.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHBreast Neoplasms/diagnostic imaging*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMammography-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPattern Recognition, Automated*-
dc.subject.MESHRadiographic Image Interpretation, Computer-Assisted-
dc.subject.MESHSoftware-
dc.titleRadiologist Assessment of Breast Density by BI-RADS Categories Versus Fully Automated Volumetric Assessment-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorHye Mi Gweon-
dc.contributor.googleauthorJi Hyun Youk-
dc.contributor.googleauthorJeong-Ah Kim-
dc.contributor.googleauthorEun Ju Son-
dc.identifier.doi10.2214/AJR.12.10197-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00265-
dc.contributor.localIdA00888-
dc.contributor.localIdA01988-
dc.contributor.localIdA02537-
dc.relation.journalcodeJ00116-
dc.identifier.eissn1546-3141-
dc.identifier.pmid23971465-
dc.identifier.urlhttp://www.ajronline.org/doi/abs/10.2214/AJR.12.10197-
dc.subject.keywordautomated evaluation-
dc.subject.keywordbreast density-
dc.subject.keywordbreast imaging-
dc.subject.keywordmammography-
dc.contributor.alternativeNameGweon, Hye Mi-
dc.contributor.alternativeNameKim, Jeong Ah-
dc.contributor.alternativeNameSon, Eun Ju-
dc.contributor.alternativeNameYouk, Ji Hyun-
dc.contributor.affiliatedAuthorGweon, Hye Mi-
dc.contributor.affiliatedAuthorKim, Jeong Ah-
dc.contributor.affiliatedAuthorSon, Eun Ju-
dc.contributor.affiliatedAuthorYouk, Ji Hyun-
dc.rights.accessRightsnot free-
dc.citation.volume201-
dc.citation.number3-
dc.citation.startPage692-
dc.citation.endPage697-
dc.identifier.bibliographicCitationAMERICAN JOURNAL OF ROENTGENOLOGY, Vol.201(3) : 692-697, 2013-
dc.identifier.rimsid32239-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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