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Analysis of background echotexture on automated breast ultrasound using BI-RADS and modified classification: Association with clinical features and mammographic density
DC Field | Value | Language |
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dc.contributor.author | 육지현 | - |
dc.date.accessioned | 2023-07-12T02:40:22Z | - |
dc.date.available | 2023-07-12T02:40:22Z | - |
dc.date.issued | 2023-05 | - |
dc.identifier.issn | 0091-2751 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/195369 | - |
dc.description.abstract | Purpose: To analyze BE on ABUS using BI-RADS and a modified classification in association with mammographic density and clinical features. Methods: Menopausal status, parity, and family history of breast cancer were collected for 496 women who underwent ABUS and mammography. Three radiologists independently reviewed all ABUS BE and mammographic density. Statistical analyses including kappa statistics (κ) for interobserver agreement, Fisher's exact test, and univariate and multivariate multinomial logistic regression were performed. Results: BE distribution between the two classifications and between each classification and mammographic density were associated (P < 0.001). BI-RADS homogeneous-fibroglandular (76.8%) and modified heterogeneous BE (71.3%, 75.7%, and 87.5% of mild, moderate, and marked heterogeneous background echotexture, respectively) tended to be dense. BE was correlated between BI-RADS homogeneous-fat and modified homogeneous background (95.1%) and between BI-RADS homogeneous-fibroglandular or heterogeneous (90.6%) and modified heterogeneous (86.9%) (P < 0.001). In multinomial logistic regression, age < 50 years was independently associated with heterogeneous BE (OR, 8.89, P = 0.003, in BI-RADS; OR, 3.74; P = 0.020 in modified classification). Conclusion: BI-RADS homogeneous-fat and modified homogeneous BE on ABUS was likely to be mammographically fatty. However, BI-RADS homogeneous-fibroglandular or heterogeneous BE might be classified as any modified BE. Younger age was independently associated with heterogeneous BE. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Wiley Subscription Services, Inc. | - |
dc.relation.isPartOf | JOURNAL OF CLINICAL ULTRASOUND | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Breast Density* | - |
dc.subject.MESH | Breast Neoplasms* / diagnostic imaging | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Mammography | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Radiologists | - |
dc.title | Analysis of background echotexture on automated breast ultrasound using BI-RADS and modified classification: Association with clinical features and mammographic density | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Eun Jung Choi | - |
dc.contributor.googleauthor | Hyemi Choi | - |
dc.contributor.googleauthor | Jung Hee Byon | - |
dc.contributor.googleauthor | Ji Hyun Youk | - |
dc.identifier.doi | 10.1002/jcu.23426 | - |
dc.contributor.localId | A02537 | - |
dc.relation.journalcode | J01342 | - |
dc.identifier.eissn | 1097-0096 | - |
dc.identifier.pmid | 37014174 | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/10.1002/jcu.23426 | - |
dc.subject.keyword | automated breast ultrasound | - |
dc.subject.keyword | background echotexture | - |
dc.subject.keyword | breast density | - |
dc.subject.keyword | breasts | - |
dc.subject.keyword | ultrasonography | - |
dc.contributor.alternativeName | Youk, Ji Hyun | - |
dc.contributor.affiliatedAuthor | 육지현 | - |
dc.citation.volume | 51 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 687 | - |
dc.citation.endPage | 695 | - |
dc.identifier.bibliographicCitation | JOURNAL OF CLINICAL ULTRASOUND, Vol.51(4) : 687-695, 2023-05 | - |
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