{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T22:47:33Z","timestamp":1785451653858,"version":"3.56.0"},"reference-count":43,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"7","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:sec>\n            <jats:title>PURPOSE<\/jats:title>\n            <jats:p>We extended the Breast Cancer Surveillance Consortium (BCSC) version 2 (v2) model of invasive breast cancer risk to include BMI, extended family history of breast cancer, and age at first live birth (version 3 [v3]) to better inform appropriate breast cancer prevention therapies and risk-based screening.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>METHODS<\/jats:title>\n            <jats:p>We used Cox proportional hazards regression to estimate the age- and race- and ethnicity-specific relative hazards for family history of breast cancer, breast density, history of benign breast biopsy, BMI, and age at first live birth for invasive breast cancer in the BCSC cohort. We evaluated calibration using the ratio of expected-to-observed (E\/O) invasive breast cancers in the cohort and discrimination using the area under the receiver operating characteristic curve (AUROC).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS<\/jats:title>\n            <jats:p>\n              We analyzed data from 1,455,493 women age 35-79 years without a history of breast cancer. During a mean follow-up of 7.3 years, 30,266 women were diagnosed with invasive breast cancer. The BCSC v3 model had an E\/O of 1.03 (95% CI, 1.01 to 1.04) and an AUROC of 0.646 for 5-year risk. Compared with the v2 model, discrimination of the v3 model improved most in Asian, White, and Black women. Among women with a BMI of 30.0-34.9 kg\/m\n              <jats:sup>2<\/jats:sup>\n              , the true-positive rate in women with an estimated 5-year risk of 3% or higher increased from 10.0% (v2) to 19.8% (v3) and the improvement was greater among women with a BMI of \u226535 kg\/m\n              <jats:sup>2<\/jats:sup>\n              (7.6%-19.8%).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>CONCLUSION<\/jats:title>\n            <jats:p>The BCSC v3 model updates an already well-calibrated and validated breast cancer risk assessment tool to include additional important risk factors. The inclusion of BMI was associated with the largest improvement in estimated risk for individual women.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1200\/jco.22.02470","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T21:00:15Z","timestamp":1700254815000},"page":"779-789","update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":29,"title":["Extending the Breast Cancer Surveillance Consortium Model of Invasive Breast Cancer"],"prefix":"10.1200","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7201-4450","authenticated-orcid":false,"given":"Charlotte C.","family":"Gard","sequence":"first","affiliation":[{"name":"Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces, NM"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9857-2028","authenticated-orcid":false,"given":"Jeffrey A.","family":"Tice","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA"}],"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":"University of California, Davis, Davis, CA"},{"name":"Kaiser Permanente Washington Health Research Institute, Seattle, WA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian L.","family":"Sprague","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Vermont Cancer Center, Burlington, VT"},{"name":"Department of Radiology, University of Vermont Cancer Center, Burlington, VT"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2414-4573","authenticated-orcid":false,"given":"Michael C.S.","family":"Bissell","sequence":"additional","affiliation":[{"name":"University of California, Davis, Davis, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louise M.","family":"Henderson","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of North Carolina, Chapel Hill, NC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8793-8779","authenticated-orcid":false,"given":"Karla","family":"Kerlikowske","sequence":"additional","affiliation":[{"name":"General Internal Medicine Section, Department of Veteran Affairs, University of California, San Francisco, San Francisco, CA"},{"name":"Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"233","reference":[{"key":"e_1_3_9_2_2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21708"},{"key":"e_1_3_9_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djy013"},{"key":"e_1_3_9_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2019.11885"},{"key":"e_1_3_9_5_2","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2015.60.8869"},{"key":"e_1_3_9_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-021-06499-8"},{"key":"e_1_3_9_7_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djz177"},{"key":"e_1_3_9_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14010045"},{"key":"e_1_3_9_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-019-05167-2"},{"key":"e_1_3_9_10_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju397"},{"key":"e_1_3_9_11_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-20-0358"},{"key":"e_1_3_9_12_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2016.6326"},{"key":"e_1_3_9_13_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djw276"},{"key":"e_1_3_9_14_2","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djn388"},{"key":"e_1_3_9_15_2","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.EPI-16-0801"},{"key":"e_1_3_9_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10552-019-01171-5"},{"key":"e_1_3_9_17_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2019.3876"},{"key":"e_1_3_9_18_2","unstructured":"Breast Cancer Surveillance Consortium: Breast Cancer Surveillance Consortium (BCSC). https:\/\/www.bcsc-research.org"},{"key":"e_1_3_9_19_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2353040738"},{"key":"e_1_3_9_20_2","volume-title":"ACR BI-RADS Atlas\u00ae Mammography, ACR BI-RADS Atlas\u00ae, Breast Imaging Reporting and Data System","author":"Sickles E","year":"2013","unstructured":"Sickles E, D'Orsi C, Bassett L, et al: ACR BI-RADS Atlas\u00ae Mammography, ACR BI-RADS Atlas\u00ae, Breast Imaging Reporting and Data System. 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