{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:19:46Z","timestamp":1758637186692,"version":"3.37.3"},"reference-count":10,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003921","name":"Department of Health, Australian Government","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001026","name":"National Breast Cancer Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001026","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Breast Cancer Res"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>High participation in mammographic screening is essential for its effectiveness to detect breast cancers early and thereby, improve breast cancer outcomes. Breast density is a strong predictor of breast cancer risk and significantly reduces the sensitivity of mammography to detect the disease. There are increasing mandates for routine breast density notification within mammographic screening programs. It is unknown if breast density notification impacts the likelihood of women returning to screening when next due (i.e. rescreening rates). This study investigates the association between breast density notification and rescreening rates using individual-level data from BreastScreen Western Australia (WA), a population-based mammographic screening program.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>We examined 981,705 screening events from 311,656 women aged 40+ who attended BreastScreen WA between 2008 and 2017. Mixed effect logistic regression was used to investigate the association between rescreening and breast density notification status.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Results were stratified by age (younger, targeted, older) and screening round (first, second, third+). Targeted women screening for the first time were more likely to return to screening if notified as having dense breasts (Percent<jats:sub>unadjusted<\/jats:sub> notified vs. not-notified: 57.8% vs. 56.1%; <jats:italic>P<\/jats:italic><jats:sub>adjusted<\/jats:sub>\u2009=\u20090.016). Younger women were less likely to rescreen if notified, regardless of screening round (all <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001). There was no association between notification and rescreening in older women (all <jats:italic>P<\/jats:italic>\u2009&gt;\u20090.72).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Breast density notification does not deter women in the targeted age range from rescreening but could potentially deter younger women from rescreening. These results suggest that all breast density notification messaging should include information regarding\u00a0the importance of regular\u00a0mammographic screening to manage breast cancer risk,\u00a0particularly for younger women. These results will directly inform BreastScreen programs in Australia as well as other population-based screening providers outside Australia who notify women about breast density or are considering implementing breast density notification.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s13058-021-01499-4","type":"journal-article","created":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T07:03:09Z","timestamp":1642230189000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The impact of breast density notification on rescreening rates within a population-based mammographic screening program"],"prefix":"10.1186","volume":"24","author":[{"given":"Sarah","family":"Pirikahu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen","family":"Lund","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gemma","family":"Cadby","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth","family":"Wylie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5077-0124","authenticated-orcid":false,"given":"Jennifer","family":"Stone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,15]]},"reference":[{"key":"1499_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1158\/1055-9965.EPI-17-1175","volume":"28","author":"D Bond-Smith","year":"2018","unstructured":"Bond-Smith D, Stone J. Methodological challenges and updated findings from a meta-analysis of the association between mammographic density and breast cancer. Cancer Epidemiol Biomark Prev. 2018;28:22\u201331.","journal-title":"Cancer Epidemiol Biomark Prev"},{"issue":"7","key":"1499_CR2","doi-asserted-by":"publisher","first-page":"2744","DOI":"10.1007\/s00330-016-4636-4","volume":"27","author":"S Weigel","year":"2017","unstructured":"Weigel S, Heindel W, Heidrich J, Hense HW, Heidinger O. Digital mammography screening: sensitivity of the programme dependent on breast density. Eur Radiol. 2017;27(7):2744\u201351.","journal-title":"Eur Radiol"},{"issue":"2","key":"1499_CR3","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1177\/2150131916674889","volume":"8","author":"SL Chau","year":"2017","unstructured":"Chau SL, Alabaster A, Luikart K, Brenman LM, Habel LA. The effect of California\u2019s breast density notification legislation on breast cancer screening. J Prim Care Community Health. 2017;8(2):55\u201362.","journal-title":"J Prim Care Community Health"},{"issue":"10","key":"1499_CR4","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1016\/j.jacr.2016.05.005","volume":"13","author":"LM Sanders","year":"2016","unstructured":"Sanders LM, King AB, Goodman KS. Impact of the New Jersey breast density law on imaging and intervention volumes and breast cancer diagnosis. J Am Coll Radiol JACR. 2016;13(10):1189\u201394.","journal-title":"J Am Coll Radiol JACR"},{"key":"1499_CR5","volume-title":"BreastScreen Australia monitoring report 2020","author":"Australian Institute of Health and Welfare","year":"2020","unstructured":"Australian Institute of Health and Welfare. BreastScreen Australia monitoring report 2020. Canberra: AIHW; 2020."},{"key":"1499_CR6","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1002\/hpja.396","volume":"32","author":"E Darcey","year":"2020","unstructured":"Darcey E, Hunt EJ, Keogh L, McLean K, Saunders C, Thompson S, et al. Post-mammographic screening behaviour: a survey investigating what women do after being told they have dense breasts. Health Promot J Austr. 2020;32:29\u201339.","journal-title":"Health Promot J Austr"},{"issue":"4","key":"1499_CR7","doi-asserted-by":"publisher","first-page":"955","DOI":"10.3390\/jcm9040955","volume":"9","author":"EK Dench","year":"2020","unstructured":"Dench EK, Darcey EC, Keogh L, McLean K, Pirikahu S, Saunders C, et al. Confusion and anxiety following breast density notification: Fact or fiction? J Clin Med. 2020;9(4):955.","journal-title":"J Clin Med"},{"key":"1499_CR8","doi-asserted-by":"crossref","unstructured":"Roberston M, Darcey E, Dench EK, Keogh L, McLean K, Pirikahu S, et al. What do women know about breast density? A public screening program perspective. https:\/\/www.medrxiv.org\/search\/20048371. MedRxiv. 2020;20048371.","DOI":"10.1101\/2020.04.02.20048371"},{"key":"1499_CR9","unstructured":"Australian Bureau of Statistics: themes: socio-economic indices for areas. http:\/\/www.abs.gov.au\/websitedbs\/censushome.nsf\/home\/seifa viewed 23 September 2020."},{"key":"1499_CR10","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.breast.2018.09.001","volume":"42","author":"N Houssami","year":"2018","unstructured":"Houssami N, Lee CI. The impact of legislation mandating breast density notification\u2014review of the evidence. Breast. 2018;42:102\u201312.","journal-title":"Breast"}],"container-title":["Breast Cancer Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13058-021-01499-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13058-021-01499-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13058-021-01499-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T07:11:33Z","timestamp":1642230693000},"score":1,"resource":{"primary":{"URL":"https:\/\/breast-cancer-research.biomedcentral.com\/articles\/10.1186\/s13058-021-01499-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,15]]},"references-count":10,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["1499"],"URL":"https:\/\/doi.org\/10.1186\/s13058-021-01499-4","relation":{},"ISSN":["1465-542X"],"issn-type":[{"type":"electronic","value":"1465-542X"}],"subject":[],"published":{"date-parts":[[2022,1,15]]},"assertion":[{"value":"11 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Approval for this study was obtained by the GEKO Ethics Committee (Project #33191) QI Women's Health, Genetics & Mental Health, Women and Newborn Health Service.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"All women who attend BreastScreen WA provide written consent at every screen to the collection and use of data relating to the screen, including evaluation and research purposes, provided names are not used in any reports or published statistics.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"5"}}