{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T20:31:38Z","timestamp":1789072298002,"version":"build-2803163510"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T00:00:00Z","timestamp":1722643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"the Agency for Health Research and Quality","award":["R01 HS018366-01A1"],"award-info":[{"award-number":["R01 HS018366-01A1"]}]},{"DOI":"10.13039\/100006093","name":"Patient-Centered Outcomes Research Institute","doi-asserted-by":"publisher","award":["PCS-1504-30370"],"award-info":[{"award-number":["PCS-1504-30370"]}],"id":[{"id":"10.13039\/100006093","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U54CA163303"],"award-info":[{"award-number":["U54CA163303"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["grants P01CA154292"],"award-info":[{"award-number":["grants P01CA154292"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U54 CA132381"],"award-info":[{"award-number":["U54 CA132381"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["U54 CA132383"],"award-info":[{"award-number":["U54 CA132383"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 CA242735"],"award-info":[{"award-number":["R01 CA242735"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Breast density is associated with risk of breast cancer (BC) diagnosis, affecting risk prediction tools and patient notification policies. Density affects mammography sensitivity and may influence screening intensity. Therefore, the observed association between density and BC diagnosis may not reflect the relationship between density and disease risk. We investigated the association between breast density and BC risk using data sourced from 33\u2009542 women in the Breast Cancer Surveillance Consortium, 2000-2018. We estimated mammogram sensitivity and rates of screening mammography among dense (Breast Imaging Reporting and Data System [BI-RADS] breast density categories C and D) and nondense (BI-RADS categories A and B) breasts. We used Kaplan-Meier estimates to summarize the relative risks of BC diagnosis (RRdx) by density and fit a natural history model to estimate the relative risks of BC onset (RRonset) given density-specific sensitivities. The RRdx for dense vs nondense breasts was 1.80 (95% CI, 1.46-2.57). Based on estimated screening sensitivities of 0.88 and 0.78 for nondense and dense breasts, respectively, RRonset was 1.73 (95% CI, 1.43-2.25). Sensitivity analyses suggested higher breast density is robustly associated with increased risk of BC onset, similar in magnitude to the increased risk of BC diagnosis. These findings support laws requiring notifications to women with dense breasts of their increased BC risk.<\/jats:p>","DOI":"10.1093\/aje\/kwae245","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T02:39:34Z","timestamp":1722825574000},"page":"441-448","source":"Crossref","is-referenced-by-count":12,"title":["Breast density and risk of breast cancer: masking and detection bias"],"prefix":"10.1093","volume":"194","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0014-9679","authenticated-orcid":false,"given":"Jane M","family":"Lange","sequence":"first","affiliation":[{"name":"Cancer Early Detection Advanced Research Center, Oregon Health and Science University, Portland , OR, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7201-4450","authenticated-orcid":false,"given":"Charlotte C","family":"Gard","sequence":"additional","affiliation":[{"name":"Department of Applied Statistics, and International Business, New Mexico State University , Las Cruces, NM, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2997-295X","authenticated-orcid":false,"given":"Ellen S","family":"O\u2019Meara","sequence":"additional","affiliation":[{"name":"Kaiser Permanente Washington Health Research Institute , Seattle, WA, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5547-1833","authenticated-orcid":false,"given":"Diana L","family":"Miglioretti","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, University of California Davis School of Medicine , Sacramento, CA, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9164-6370","authenticated-orcid":false,"given":"Ruth","family":"Etzioni","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Fred Hutchinson 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