{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T11:32:57Z","timestamp":1771500777940,"version":"3.50.1"},"reference-count":88,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Breast density continues to be a prevailing topic in the field of breast imaging, with continued complexities contributing to overall confusion and controversy among patients and the medical community. In this article, we explore the current status of breast cancer screening in women with dense breasts including breast density legislation. Risk-based approaches to supplemental screening may be more financially cost-effective. While all advanced imaging modalities detect additional primarily invasive, node-negative cancers, the degree to which this occurs can vary by density category. Future directions include expanding the use of density-inclusive risk models with appropriate risk stratification and imaging utilization. Further research is needed, however, to better understand how to optimize population-based screening programs with knowledge of patients\u2019 individualized risk, including breast density assessment, to improve the benefit-to-harm ratio of breast cancer screening.<\/jats:p>","DOI":"10.1093\/jbi\/wbac066","type":"journal-article","created":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T17:09:11Z","timestamp":1667322551000},"page":"559-567","source":"Crossref","is-referenced-by-count":9,"title":["Breast Cancer Screening in Women With Dense Breasts: Current Status and Future Directions for Appropriate Risk Stratification and Imaging Utilization"],"prefix":"10.1093","volume":"4","author":[{"given":"Randy C","family":"Miles","sequence":"first","affiliation":[{"name":"Denver Health , Denver, CO , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2436-6280","authenticated-orcid":false,"given":"Shinn-Huey","family":"Chou","sequence":"additional","affiliation":[{"name":"Massachusetts General Hospital, Department of Radiology , Boston, MA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2563-0378","authenticated-orcid":false,"given":"Charmi","family":"Vijapura","sequence":"additional","affiliation":[{"name":"University of Cincinnati Medical Center, Department of Radiology , Cincinnati, OH , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amy","family":"Patel","sequence":"additional","affiliation":[{"name":"Liberty Hospital, Department of Radiology , Kansas City, MO , USA"},{"name":"Alliance Radiology , Kansas City, MO , USA"},{"name":"University of Missouri\u2013Kansas City School of Medicine, Department of Radiology , Kansas City, MO , 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