{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T17:03:42Z","timestamp":1788887022531,"version":"build-2803163510"},"reference-count":22,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Ultrasound"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To analyze BE on ABUS using BI\u2010RADS and a modified classification in association with mammographic density and clinical features.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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 (\u03ba) for interobserver agreement, Fisher's exact test, and univariate and multivariate multinomial logistic regression were performed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>BE distribution between the two classifications and between each classification and mammographic density were associated (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001). BI\u2010RADS homogeneous\u2010fibroglandular (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\u2010RADS homogeneous\u2010fat and modified homogeneous background (95.1%) and between BI\u2010RADS homogeneous\u2010fibroglandular or heterogeneous (90.6%) and modified heterogeneous (86.9%) (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001). In multinomial logistic regression, age\u2009&lt;\u200950\u2009years was independently associated with heterogeneous BE (OR, 8.89, <jats:italic>P<\/jats:italic>\u00a0=\u00a00.003, in BI\u2010RADS; OR, 3.74; <jats:italic>P<\/jats:italic>\u00a0=\u00a00.020 in modified classification).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>BI\u2010RADS homogeneous\u2010fat and modified homogeneous BE on ABUS was likely to be mammographically fatty. However, BI\u2010RADS homogeneous\u2010fibroglandular or heterogeneous BE might be classified as any modified BE. Younger age was independently associated with heterogeneous BE.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcu.23426","type":"journal-article","created":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T13:25:19Z","timestamp":1680614719000},"page":"687-695","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Analysis of background echotexture on automated breast ultrasound using <scp>BI\u2010RADS<\/scp> and modified classification: Association with clinical features and mammographic density"],"prefix":"10.1002","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2339-4327","authenticated-orcid":false,"given":"Eun Jung","family":"Choi","sequence":"first","affiliation":[{"name":"Department of Radiology Research Institute of Clinical Medicine and Jeonbuk National University \u2013 Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School  Jeonju City South 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Hyun","family":"Youk","sequence":"additional","affiliation":[{"name":"Department of Radiology, Gangnam Severance Hospital Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,4,4]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa062790"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/bcr1829"},{"key":"e_1_2_9_4_1","volume-title":"ACR BI\u2010RADS\u00ae Atlas, Breast Imaging Reporting and Data System.","author":"Mendelson EB","year":"2013"},{"key":"e_1_2_9_5_1","volume-title":"ACR BI\u2010RADS\u00ae Atlas, Breast Imaging Reporting and Data System","author":"Morris EA","year":"2013"},{"key":"e_1_2_9_6_1","volume-title":"ACR BI\u2010RADS\u00ae Atlas, Breast Imaging Reporting and Data System","author":"Sickles 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