{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T15:16:42Z","timestamp":1787584602882,"version":"build-2736575974"},"reference-count":44,"publisher":"American Medical Association (AMA)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi251409-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>General mammography screening guidelines target women at average risk within a specified age range (age based) and do not consider absolute risk of individual women at a given age (risk based).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To compare outcomes of mammography screening strategies that vary by 5-year risk of invasive breast cancer vs age-based strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This decision analytical model used 2 established Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models and simulated US women born in 1980 who were aged 40 years or older without a prior history of breast cancer. Modeling analyses were conducted from April 2023 to April 2025.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-7\">\n                    <jats:title>Intervention<\/jats:title>\n                    <jats:p>Digital breast tomosynthesis delivered via 50 screening strategies (3 age based and 47 risk based) vs a no-screening scenario. Five-year absolute invasive breast cancer risk was based on the validated Breast Cancer Surveillance Consortium, version 3 calculator. Women\u2019s 5-year breast cancer risk was categorized as low, average, intermediate, or high.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>Primary outcomes included lifetime number of breast cancer deaths averted and false-positive screening recalls. Lifetime outcomes were averaged across models and expressed per 1000 women screened.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Nine risk-based screening strategies were associated with a comparable or greater number of deaths averted than biennial age-based screening from ages 40 to 74 years (B40-74) (range across strategies for mean model estimates, 6.8-7.5 per 1000 women vs 6.8 per 1000 women) as well as reduced false-positive recalls by 8% to 23% (1050-1257 per 1000 women for risk-based screening strategies vs 1365 per 1000 women for B40-74). For example, a risk-based approach using a combination of biennial screening (for women at low risk aged 55-74 years, at average risk aged 50-59 years, at intermediate risk aged 45-54 years, and at high risk aged 40-49 years) and annual screening (for women at average risk aged 60-74 years, at intermediate risk aged 55-74 years, and at high risk aged 50-74 years) would be associated with 6% more breast cancer deaths averted than B40-74 (7.2 vs 6.8 per 1000 women) and 13% fewer false-positive recalls (1190 vs 1365 per 1000 women). Results were consistent across the 2 CISNET models, and the relative difference in breast cancer deaths averted between B40-74 and risk-based screening strategies was more pronounced than for life-years gained.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi251409-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this decision analytical modeling study of breast cancer screening, population risk-based screening using 5-year invasive breast cancer risk was associated with similar or greater benefits than age-based screening as well as reduced false-positive recalls. As personalized medicine advances, risk-based screening is poised to become a cornerstone of breast cancer prevention, offering a more nuanced and tailored approach to patient care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.52944","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T16:00:28Z","timestamp":1768924828000},"page":"e2552944","source":"Crossref","is-referenced-by-count":6,"title":["Five-Year Absolute Risk\u2013Based and Age-Based Breast Cancer Screening in the US"],"prefix":"10.1001","volume":"9","author":[{"given":"Oguzhan","family":"Alagoz","sequence":"first","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin\u2013Madison"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, University of Wisconsin\u2013Madison"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eugenio","family":"Gil Quessep","sequence":"additional","affiliation":[{"name":"Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karla","family":"Kerlikowske","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of California at San Francisco"},{"name":"Department of Epidemiology & Biostatistics, University of California at San Francisco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeanne S.","family":"Mandelblatt","sequence":"additional","affiliation":[{"name":"Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian L.","family":"Sprague","sequence":"additional","affiliation":[{"name":"Department of Surgery and the University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Trentham-Dietz","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences and the Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin\u2013Madison"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Hampton","sequence":"additional","affiliation":[{"name":"Department of Population Health Sciences and the Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin\u2013Madison"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rick","family":"Groeneweg","sequence":"additional","affiliation":[{"name":"Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harry J.","family":"de Koning","sequence":"additional","affiliation":[{"name":"Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana L.","family":"Miglioretti","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, University of California at Davis"},{"name":"Kaiser Permanente Washington Health Research Institute, Seattle"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clyde B.","family":"Schechter","sequence":"additional","affiliation":[{"name":"Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolien T.","family":"van Ravesteyn","sequence":"additional","affiliation":[{"name":"Department of Public Health, Erasmus MC, University Medical Center Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna N. A.","family":"Tosteson","sequence":"additional","affiliation":[{"name":"Geisel School of Medicine, Dartmouth College, and Dartmouth Cancer Center, Lebanon, New Hampshire"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natasha K.","family":"Stout","sequence":"additional","affiliation":[{"name":"Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathryn P.","family":"Lowry","sequence":"additional","affiliation":[{"name":"Department of Radiology, University of Washington School of Medicine, Fred Hutchinson Cancer Center, Seattle"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2026,1,20]]},"reference":[{"issue":"17","key":"zoi251409r1","doi-asserted-by":"publisher","first-page":"1784","DOI":"10.1056\/NEJMoa050518","article-title":"Effect of screening and adjuvant therapy on mortality from breast cancer.","volume":"353","author":"Berry","year":"2005","journal-title":"N Engl J Med"},{"issue":"2","key":"zoi251409r2","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1001\/jama.2017.19130","article-title":"Association of screening and treatment with breast cancer mortality by molecular subtype in US women, 2000-2012.","volume":"319","author":"Plevritis","year":"2018","journal-title":"JAMA"},{"issue":"2","key":"zoi251409r3","first-page":"75","article-title":"American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.","volume":"57","author":"Saslow","year":"2007","journal-title":"CA Cancer J Clin"},{"issue":"24","key":"zoi251409r4","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1093\/jnci\/81.24.1879","article-title":"Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.","volume":"81","author":"Gail","year":"1989","journal-title":"J Natl Cancer Inst"},{"issue":"7","key":"zoi251409r5","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1200\/JCO.22.02470","article-title":"Extending the Breast Cancer Surveillance Consortium model of invasive breast cancer.","volume":"42","author":"Gard","year":"2024","journal-title":"J Clin Oncol"},{"issue":"5","key":"zoi251409r6","doi-asserted-by":"publisher","first-page":"337","DOI":"10.7326\/0003-4819-148-5-200803040-00004","article-title":"Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.","volume":"148","author":"Tice","year":"2008","journal-title":"Ann Intern Med"},{"issue":"8","key":"zoi251409r7","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.1038\/s41436-018-0406-9","article-title":"BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.","volume":"21","author":"Lee","year":"2019","journal-title":"Genet Med"},{"issue":"28","key":"zoi251409r8","doi-asserted-by":"publisher","first-page":"3137","DOI":"10.1200\/JCO.2015.60.8869","article-title":"Breast density and benign breast disease: risk assessment to identify women at high risk of breast cancer.","volume":"33","author":"Tice","year":"2015","journal-title":"J Clin Oncol"},{"issue":"9","key":"zoi251409r9","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1001\/jamainternmed.2019.1758","article-title":"Strategies to identify women at high risk of advanced breast cancer during routine screening for discussion of supplemental imaging.","volume":"179","author":"Kerlikowske","year":"2019","journal-title":"JAMA Intern Med"},{"issue":"10","key":"zoi251409r10","doi-asserted-by":"publisher","first-page":"673","DOI":"10.7326\/M14-1465","article-title":"Identifying women with dense breasts at high risk for interval cancer: a cohort study.","volume":"162","author":"Kerlikowske","year":"2015","journal-title":"Ann Intern Med"},{"issue":"11","key":"zoi251409r11","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.1001\/jamaoncol.2018.1901","article-title":"Cost-effectiveness and benefit-to-harm ratio of risk-stratified screening for breast cancer: a life-table model.","volume":"4","author":"Pashayan","year":"2018","journal-title":"JAMA Oncol"},{"issue":"3","key":"zoi251409r12","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s10549-021-06346-w","article-title":"The WISDOM study: a new approach to screening can and should be tested.","volume":"189","author":"Esserman","year":"2021","journal-title":"Breast Cancer Res Treat"},{"key":"zoi251409r14","doi-asserted-by":"publisher","first-page":"3S","DOI":"10.1177\/0272989X17737507","article-title":"Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models.","volume":"38","author":"Alagoz","year":"2018","journal-title":"Med Decis Making"},{"issue":"10","key":"zoi251409r15","doi-asserted-by":"publisher","first-page":"738","DOI":"10.7326\/0003-4819-151-10-200911170-00010","article-title":"Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms.","volume":"151","author":"Mandelblatt","year":"2009","journal-title":"Ann Intern Med"},{"issue":"4","key":"zoi251409r16","doi-asserted-by":"publisher","first-page":"215","DOI":"10.7326\/M15-1536","article-title":"Collaborative modeling of the benefits and harms associated with different US breast cancer screening strategies.","volume":"164","author":"Mandelblatt","year":"2016","journal-title":"Ann Intern Med"},{"key":"zoi251409r17","doi-asserted-by":"publisher","first-page":"54S","DOI":"10.1177\/0272989X17711928","article-title":"Simulating the impact of risk-based screening and treatment on breast cancer outcomes with MISCAN-Fadia.","volume":"38","author":"van den Broek","year":"2018","journal-title":"Med Decis Making"},{"key":"zoi251409r18","doi-asserted-by":"publisher","first-page":"99S","DOI":"10.1177\/0272989X17711927","article-title":"The University of Wisconsin breast cancer epidemiology simulation model: an update.","volume":"38","author":"Alagoz","year":"2018","journal-title":"Med Decis Making"},{"key":"zoi251409r20","doi-asserted-by":"publisher","first-page":"66S","DOI":"10.1177\/0272989X17698685","article-title":"Structure, function, and applications of the Georgetown\u2013Einstein (GE) breast cancer simulation model.","volume":"38","author":"Schechter","year":"2018","journal-title":"Med Decis Making"},{"key":"zoi251409r21","doi-asserted-by":"publisher","first-page":"9S","DOI":"10.1177\/0272989X17700624","article-title":"Common model inputs used in CISNET collaborative breast cancer modeling.","volume":"38","author":"Mandelblatt","year":"2018","journal-title":"Med Decis Making"},{"issue":"22","key":"zoi251409r22","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1001\/jama.2023.24766","article-title":"Collaborative modeling to compare different breast cancer screening strategies: a decision analysis for the US Preventive Services Task Force.","volume":"331","author":"Trentham-Dietz","year":"2024","journal-title":"JAMA"},{"issue":"1","key":"zoi251409r23","doi-asserted-by":"publisher","DOI":"10.1177\/23814683211061097","article-title":"Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) statement: updated reporting guidance for health economic evaluations.","volume":"7","author":"Husereau","year":"2022","journal-title":"MDM Policy Pract"},{"issue":"3","key":"zoi251409r24","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1001\/jama.2023.25881","article-title":"Analysis of breast cancer mortality in the US-1975 to 2019.","volume":"331","author":"Caswell-Jin","year":"2024","journal-title":"JAMA"},{"key":"zoi251409r25","doi-asserted-by":"publisher","first-page":"140S","DOI":"10.1177\/0272989X17718168","article-title":"Comparing CISNET breast cancer incidence and mortality predictions to observed clinical trial results of mammography screening from ages 40 to 49.","volume":"38","author":"van den Broek","year":"2018","journal-title":"Med Decis Making"},{"issue":"22","key":"zoi251409r26","doi-asserted-by":"publisher","first-page":"1918","DOI":"10.1001\/jama.2024.5534","article-title":"Screening for breast cancer: US Preventive Services Task Force recommendation statement.","volume":"331","author":"Nicholson","year":"2024","journal-title":"JAMA"},{"issue":"9","key":"zoi251409r28","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1001\/jama.2019.11885","article-title":"Medication use to reduce risk of breast cancer: US Preventive Services Task Force recommendation statement.","volume":"322","author":"Owens","year":"2019","journal-title":"JAMA"},{"issue":"1","key":"zoi251409r29","doi-asserted-by":"publisher","first-page":"45","DOI":"10.3390\/cancers14010045","article-title":"Validation of breast cancer risk models by race\/ethnicity, family history and molecular subtypes.","volume":"14","author":"McCarthy","year":"2021","journal-title":"Cancers (Basel)"},{"issue":"2","key":"zoi251409r30","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/s10549-019-05167-2","article-title":"Validation of the Breast Cancer Surveillance Consortium model of breast cancer risk.","volume":"175","author":"Tice","year":"2019","journal-title":"Breast Cancer Res Treat"},{"issue":"5","key":"zoi251409r31","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju397","article-title":"The contributions of breast density and common genetic variation to breast cancer risk.","volume":"107","author":"Vachon","year":"2015","journal-title":"J Natl Cancer Inst"},{"issue":"5","key":"zoi251409r32","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1093\/jnci\/djz177","article-title":"Performance of breast cancer risk-assessment models in a large mammography cohort.","volume":"112","author":"McCarthy","year":"2020","journal-title":"J Natl Cancer Inst"},{"issue":"8","key":"zoi251409r34","doi-asserted-by":"publisher","first-page":"547","DOI":"10.7326\/M18-2147","article-title":"Screening for breast cancer in average-risk women: a guidance statement from the American College of Physicians.","volume":"170","author":"Qaseem","year":"2019","journal-title":"Ann Intern Med"},{"issue":"9","key":"zoi251409r35","doi-asserted-by":"publisher","first-page":"1280","DOI":"10.1016\/j.jacr.2021.04.021","article-title":"Breast cancer screening recommendations inclusive of all women at average risk: update from the ACR and Society of Breast Imaging.","volume":"18","author":"Monticciolo","year":"2021","journal-title":"J Am Coll Radiol"},{"issue":"6","key":"zoi251409r37","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1158\/1940-6207.CAPR-20-0437","article-title":"Estimating the breast cancer burden in Germany and implications for risk-based screening.","volume":"14","author":"Quante","year":"2021","journal-title":"Cancer Prev Res (Phila)"},{"issue":"11","key":"zoi251409r38","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2022.41441","article-title":"Use of breast cancer risk factors to identify risk-adapted starting age of screening in China.","volume":"5","author":"Zheng","year":"2022","journal-title":"JAMA Netw Open"},{"issue":"8","key":"zoi251409r39","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1016\/j.jval.2017.04.012","article-title":"Evaluation of a stratified national breast screening program in the United Kingdom: an early model-based cost-effectiveness analysis.","volume":"20","author":"Gray","year":"2017","journal-title":"Value Health"},{"issue":"2","key":"zoi251409r40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0086858","article-title":"Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer.","volume":"9","author":"Vilaprinyo","year":"2014","journal-title":"PLoS One"},{"issue":"10","key":"zoi251409r41","doi-asserted-by":"publisher","first-page":"700","DOI":"10.7326\/M16-0476","article-title":"Tailoring breast cancer screening intervals by breast density and risk for women aged 50 years or older: collaborative modeling of screening outcomes.","volume":"165","author":"Trentham-Dietz","year":"2016","journal-title":"Ann Intern Med"},{"issue":"4","key":"zoi251409r42","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1093\/jnci\/djaa127","article-title":"Personalizing breast cancer screening based on polygenic risk and family history.","volume":"113","author":"van den Broek","year":"2021","journal-title":"J Natl Cancer Inst"},{"issue":"5","key":"zoi251409r43","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1093\/jnci\/djac008","article-title":"Cumulative advanced breast cancer risk prediction model developed in a screening mammography population.","volume":"114","author":"Kerlikowske","year":"2022","journal-title":"J Natl Cancer Inst"},{"issue":"1","key":"zoi251409r44","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s10549-020-06002-9","article-title":"Potential of using mammography screening appointments to identify high-risk women: cross sectional survey results from the National Health Interview Survey.","volume":"186","author":"Narayan","year":"2021","journal-title":"Breast Cancer Res Treat"},{"key":"zoi251409r27","volume-title":"Breast Imaging Reporting and Data System (BI-RADS): Breast Imaging Atlas","author":"D\u2019Orsi","year":"2018","edition":"4th ed"},{"key":"zoi251409r13","unstructured":"My Personal Breast Screening (MyPeBS). MyPeBS Consortium. Accessed October 15, 2025. https:\/\/www.mypebs.eu\/"},{"key":"zoi251409r19","unstructured":"CISNET: breast cancer modeling. National Cancer Institute. Accessed November 21, 2025. https:\/\/cisnet.cancer.gov\/breast\/"},{"key":"zoi251409r33","unstructured":"BCSC invasive breast cancer risk calculator. Breast Cancer Surveillance Consortium. Accessed November 21, 2025. https:\/\/tools.bcsc-scc.ucdavis.edu\/BC5yearRisk\/"},{"key":"zoi251409r36","unstructured":"Breast cancer screening and diagnosis (v2.2024). National Comprehensive Cancer Network (NCCN). Accessed July 30, 2025. https:\/\/www.nccn.org\/professionals\/physician_gls\/pdf\/breast-screening.pdf"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2844077\/alagoz_2026_oi_251409_1768239505.60175.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T16:00:29Z","timestamp":1768924829000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2844077"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,20]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1,2]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2025.52944","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,20]]}}}