{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T08:38:24Z","timestamp":1792485504739,"version":"4.5.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate the clinical impact of a deep-learning-based computer-aided diagnostic tool applied to contrast-enhanced mammography on radiologists\u2019 diagnostic accuracy and reading efficiency.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this retrospective single-centre study, 150 contrast-enhanced mammography examinations were interpreted by five radiologists. Each case was read and annotated twice in two sequential sessions: first without assistance and then with the computer-aided diagnostic tool, with a minimum 4-week washout period. Diagnostic performance was assessed at lesion and breast levels using free-response receiver operating characteristic analysis, area under the curve, and false-positive rate. Reading time for one radiologist was recorded as an exploratory measure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The computer-aided diagnostic tool was associated with improved lesion-level performance for most radiologists, with a mean increase in the area under the free-response curve of 0.030\u2009\u00b1\u20090.018. At 89% sensitivity, false-positive findings decreased by an average of 11.4% \u00b1 24% across all radiologists. No improvement was observed at the breast level, possibly related to the tool\u2019s single-view analysis and dataset characteristics. An exploratory analysis showed a 31% reduction in reading time for one radiologist.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Integration of a deep learning\u2013based computer-aided diagnostic tool into contrast-enhanced mammography was associated with improved lesion-level diagnostic performance and reduced false-positive findings, without measurable improvement at the breast level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Advances in knowledge<\/jats:title>\n                    <jats:p>To our knowledge, this study provides one of the early clinical evaluations of a deep learning\u2013based computer-aided diagnostic tool for contrast-enhanced mammography, suggesting potential improvements in lesion-level diagnostic performance and workflow efficiency while highlighting current limitations at the breast level.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bjr\/tqag252","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T07:38:36Z","timestamp":1792481916000},"source":"Crossref","is-referenced-by-count":0,"title":["Retrospective multi-reader evaluation of a Deep-Learning-based cancer detection model in Contrast-Enhanced Mammography"],"prefix":"10.1093","author":[{"given":"Amr Farouk Ibrahim","family":"Moustafa","sequence":"first","affiliation":[{"name":"Baheya Foundation for Early Detection and Treatment of Breast Cancer , El Haram, Giza,","place":["Egypt"]},{"name":"National Cancer Institute, Cairo University Radiology Department, , Cairo,","place":["Egypt"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clement","family":"Jailin","sequence":"additional","affiliation":[{"name":"Women\u2019s Health, GE HealthCare , Buc, 78530,","place":["France"]},{"name":"Universit\u00e9 Paris-Saclay, CNRS Laboratoire de M\u00e9canique Paris-Saclay, CentraleSup\u00e9lec, ENS Paris-Saclay, , Gif-sur-Yvette, 91190,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurence","family":"Vancamberg","sequence":"additional","affiliation":[{"name":"Women\u2019s Health, GE HealthCare , Buc, 78530,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Women\u2019s Health, GE HealthCare , Buc, 78530,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pablo","family":"Milioni De Carvalho","sequence":"additional","affiliation":[{"name":"Women\u2019s Health, GE HealthCare , Buc, 78530,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Razvan","family":"Iordache","sequence":"additional","affiliation":[{"name":"Women\u2019s Health, GE HealthCare , Buc, 78530,","place":["France"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eman Faker","family":"Kamal","sequence":"additional","affiliation":[{"name":"Baheya Foundation for Early Detection and Treatment of Breast Cancer , El Haram, Giza,","place":["Egypt"]},{"name":"Cairo University Radiology Department, Faculty of Medicine, , Cairo,","place":["Egypt"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed Mohammed Mohammed","family":"Gomaa","sequence":"additional","affiliation":[{"name":"Baheya Foundation for Early Detection and Treatment of Breast Cancer , El Haram, Giza,","place":["Egypt"]},{"name":"National Cancer Institute, Cairo University Radiology Department, , Cairo,","place":["Egypt"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rasha Mohammed","family":"Kamal","sequence":"additional","affiliation":[{"name":"Baheya Foundation for Early Detection and Treatment of Breast Cancer , El Haram, Giza,","place":["Egypt"]},{"name":"Cairo University Radiology Department, Faculty of Medicine, , Cairo,","place":["Egypt"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,10,19]]},"container-title":["British Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bjr\/advance-article-pdf\/doi\/10.1093\/bjr\/tqag252\/72124942\/tqag252.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bjr\/advance-article-pdf\/doi\/10.1093\/bjr\/tqag252\/72124942\/tqag252.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T07:38:36Z","timestamp":1792481916000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bjr\/advance-article\/doi\/10.1093\/bjr\/tqag252\/8943950"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,19]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1093\/bjr\/tqag252","relation":{},"ISSN":["0007-1285","1748-880X"],"issn-type":[{"value":"0007-1285","type":"print"},{"value":"1748-880X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,19]]},"article-number":"tqag252"}}