{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:42:52Z","timestamp":1793295772214,"version":"4.5.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To assess the diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in breast cancer screening in a clinical setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>All patients who had 3D-ABUS between January 2014 and January 2022 for screening were included in this retrospective study. The images were reported by 1 of 6 breast radiologists based on the Breast Imaging Reporting and Data Systems (BI-RADS). The 3D-ABUS was reviewed together with the digital breast tomosynthesis (DBT). Recall rate, biopsy rate, positive predictive value (PPV) and cancer detection yield were calculated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In total, 3616 studies were performed in 1555 women (breast density C\/D 95.5% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20093455\/3616), breast density A\/B 4.0% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009144\/3616), density unknown (0.5% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200917\/3616)). A total of 259 lesions were detected on 3D-ABUS (87.6% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009227\/259) masses and 12.4% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200932\/259) architectural distortions). The recall rate was 5.2% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009188\/3616) (CI 4.5\u20136.0%) with only 36.7% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200969\/188) cases recalled to another date. Moreover, recall declined over time. There were 3.4% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009123\/3616) biopsies performed, with 52.8% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200965\/123) biopsies due to an abnormality detected in 3D-ABUS alone. Ten of 65 lesions were malignant, resulting in a positive predictive value (PPV) of 15.4% (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200910\/65) (CI 7.6\u201326.5%)). The cancer detection yield of 3D-ABUS is 2.77 per 1000 screening tests (CI 1.30\u20135.1).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The cancer detection yield of 3D-ABUS in a real clinical screening setting is comparable to the results reported in previous prospective studies, with lower recall and biopsy rates. 3D-ABUS also may be an alternative for screening when mammography is not possible or declined.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Clinical relevance statement<\/jats:title>\n                    <jats:p>3D automated breast ultrasound screening performance in a clinical setting is comparable to previous prospective studies, with better recall and biopsy rates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      \u2022\n                      <jats:italic>3D automated breast ultrasound is a reliable and reproducible tool that provides a three-dimensional representation of the breast and allows image visualisation in axial, coronal and sagittal.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      \u2022\n                      <jats:italic>The diagnostic performance of 3D automated breast ultrasound in a real clinical setting is comparable to its performance in previously published prospective studies, with improved recall and biopsy rates.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      \u2022\n                      <jats:italic>3D automated breast ultrasound is a useful adjunct to mammography in dense breasts and may be an alternative for screening when mammography is not possible or declined.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-023-10568-5","type":"journal-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T10:02:15Z","timestamp":1705658535000},"page":"5451-5460","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in a clinical screening setting\u2014a retrospective study"],"prefix":"10.1007","volume":"34","author":[{"given":"Femke","family":"Klein Wolterink","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nazimah","family":"Ab Mumin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda","family":"Appelman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monique","family":"Derks-Rekers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mechli","family":"Imhof-Tas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne","family":"Lardenoije","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marloes","family":"van der Leest","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8111-1930","authenticated-orcid":false,"given":"Ritse M.","family":"Mann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,19]]},"reference":[{"key":"10568_CR1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.semcancer.2020.02.010","volume":"72","author":"L Iacoviello","year":"2021","unstructured":"Iacoviello L, Bonaccio M, de Gaetano G, Donati MB (2021) Epidemiology of breast cancer, a paradigm of the \u201ccommon soil\u201d hypothesis. 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He has not taken part in the review or selection process of this article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained. (METC Oost-Nederland (2022\u201313569).","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No study subjects overlap.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"value":"\u2022 retrospective\u2022 observational\u2022 performed at one institution","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}