{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T16:34:26Z","timestamp":1783960466435,"version":"3.55.0"},"reference-count":22,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artificial intelligence-based computer-assisted diagnosis (AI-CAD) is increasingly used for mammographic exams, and its role in mammographic density assessment should be evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To assess the inter-modality agreement between radiologists, automated volumetric density measurement program (Volpara), and AI-CAD system in breast density categorization using the Breast Imaging-Reporting and Data System (BI-RADS) density categories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>A retrospective review was conducted on 1015 screening digital mammograms that were performed in Asian female patients (mean age = 56 years\u2009\u00b1\u200910 years) in our health examination center between December 2022 and January 2023. Four radiologists with two different levels of experience (expert and general radiologists) performed density assessments. Agreement between the radiologists, Volpara, and AI-CAD (Lunit INSIGHT MMG) was evaluated using weighted kappa statistics and matched rates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Inter-reader agreement between expert and general radiologists was substantial (k\u2009=\u20090.65) with a matched rate of 72.8%. The agreement was substantial between expert or general radiologists and Volpara (k\u2009=\u20090.64\u20130.67) with a matched rate of 72.0% but moderate between expert or general radiologists and AI-CAD (k\u2009=\u20090.45\u20130.58) with matched rates of 56.7%\u201367.0%. The agreement between Volpara and AI-CAD was moderate (k\u2009=\u20090.53) with a matched rate of 60.8%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The agreement in breast density categorization between radiologists and automated volumetric density measurement program (Volpara) was higher than the agreement between radiologists and AI-CAD (Lunit INSIGHT MMG).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851241257794","type":"journal-article","created":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T02:18:47Z","timestamp":1717381127000},"page":"708-715","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Mammographic density assessment: comparison of radiologists, automated volumetric measurement, and artificial intelligence-based computer-assisted diagnosis"],"prefix":"10.1177","volume":"65","author":[{"given":"Hye Joung","family":"Eom","sequence":"first","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1446-8195","authenticated-orcid":false,"given":"Joo Hee","family":"Cha","sequence":"additional","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1341-6470","authenticated-orcid":false,"given":"Woo Jung","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6235-1178","authenticated-orcid":false,"given":"Su Min","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1267-0899","authenticated-orcid":false,"given":"Kiok","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hak Hee","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,6,2]]},"reference":[{"key":"bibr1-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2021210367"},{"key":"bibr2-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa062790"},{"key":"bibr3-02841851241257794","doi-asserted-by":"publisher","DOI":"10.7326\/M17-3008"},{"key":"bibr4-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-016-4636-4"},{"key":"bibr5-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-06-0034"},{"key":"bibr6-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2301020870"},{"key":"bibr7-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1186\/bcr1829"},{"key":"bibr8-02841851241257794","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.15.15472"},{"key":"bibr9-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2008.09.005"},{"key":"bibr10-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1177\/0284185113492721"},{"key":"bibr11-02841851241257794","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.12.10197"},{"key":"bibr12-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-021-00555-x"},{"key":"bibr13-02841851241257794","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.1990"},{"key":"bibr14-02841851241257794","volume":"2","author":"Kim HE","year":"2020","journal-title":"Lancet Digit Health"},{"key":"bibr15-02841851241257794","doi-asserted-by":"publisher","DOI":"10.2307\/2529310"},{"key":"bibr16-02841851241257794","unstructured":"Breast Cancer Surveillance Consortium. 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