{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T06:30:36Z","timestamp":1791441036009,"version":"4.3.3"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T00:00:00Z","timestamp":1687219200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T00:00:00Z","timestamp":1687219200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100001006","name":"Breast Cancer Research Foundation","doi-asserted-by":"publisher","award":["BCRF 22-028"],"award-info":[{"award-number":["BCRF 22-028"]}],"id":[{"id":"10.13039\/100001006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R37 CA256810"],"award-info":[{"award-number":["R37 CA256810"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cancer Causes Control"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Purpose<\/jats:title>\n                <jats:p>It may be important for women to have mammograms at different points in time to track changes in breast density, as fluctuations in breast density can affect breast cancer risk. This systematic review aimed to assess methods used to relate repeated mammographic images to breast cancer risk.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>The databases including Medline (Ovid) 1946-, Embase.com 1947-, CINAHL Plus 1937-, Scopus 1823-, Cochrane Library (including CENTRAL), and Clinicaltrials.gov were searched through October 2021. Eligibility criteria included published articles in English describing the relationship of change in mammographic features with risk of breast cancer. Risk of bias was assessed using the Quality in Prognostic Studies tool.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Twenty articles were included. The Breast Imaging Reporting and Data System and Cumulus were most commonly used for classifying mammographic density and automated assessment was used on more recent digital mammograms. Time between mammograms varied from 1\u00a0year to a median of 4.1, and only nine of the studies used more than two mammograms. Several studies showed that adding change of density or mammographic features improved model performance. Variation in risk of bias of studies was highest in prognostic factor measurement and study confounding.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>This review provided an updated overview and revealed research gaps in assessment of the use of texture features, risk prediction, and AUC. We provide recommendations for future studies using repeated measure methods for mammogram images to improve risk classification and risk prediction for women to tailor screening and prevention strategies to level of risk.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s10552-023-01739-2","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T20:22:35Z","timestamp":1687292555000},"page":"939-948","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0430-9561","authenticated-orcid":false,"given":"Akila","family":"Anandarajah","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5998-7132","authenticated-orcid":false,"given":"Yongzhen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6951-4219","authenticated-orcid":false,"given":"Carolyn","family":"Stoll","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5693-8979","authenticated-orcid":false,"given":"Angela","family":"Hardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1464-4838","authenticated-orcid":false,"given":"Shu","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7307-0291","authenticated-orcid":false,"given":"Graham A.","family":"Colditz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,20]]},"reference":[{"key":"1739_CR1","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1016\/j.amepre.2014.11.010","volume":"48","author":"NT van Ravesteyn","year":"2015","unstructured":"van Ravesteyn NT, van Lier L, Schechter CB et al (2015) Transition from film to digital mammography: impact for breast cancer screening through the national breast and cervical cancer early detection program. Am J Prev Med 48:535\u2013542","journal-title":"Am J Prev Med"},{"key":"1739_CR2","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1001\/jama.2015.12783","volume":"314","author":"KC Oeffinger","year":"2015","unstructured":"Oeffinger KC, Fontham ET, Etzioni R et al (2015) Breast cancer screening for women at average risk: 2015 guideline update from the American Cancer Society. JAMA 314:1599\u20131614","journal-title":"JAMA"},{"key":"1739_CR3","doi-asserted-by":"publisher","first-page":"279","DOI":"10.7326\/M15-2886","volume":"164","author":"AL Siu","year":"2016","unstructured":"Siu AL, U. S. Preventive Services Task Force (2016) Screening for breast cancer: U.S. preventive services task force recommendation statement. Ann Intern Med 164:279\u2013296","journal-title":"Ann Intern Med"},{"key":"1739_CR4","doi-asserted-by":"publisher","first-page":"547","DOI":"10.7326\/M18-2147","volume":"170","author":"A Qaseem","year":"2019","unstructured":"Qaseem A, Lin JS, Mustafa RA, Horwitch CA, Wilt TJ, Clinical Guidelines Committee of the American College of Physicians (2019) Screening for breast cancer in average-risk women: a guidance statement from the American College of Physicians. Ann Intern Med. 170:547\u201360","journal-title":"Ann Intern Med."},{"key":"1739_CR5","doi-asserted-by":"publisher","first-page":"880","DOI":"10.6004\/jnccn.2015.0105","volume":"13","author":"TB Bevers","year":"2015","unstructured":"Bevers TB, Ward JH, Arun BK et al (2015) Breast cancer risk reduction, version 2.2015. J Natl Compr Cancer Netw 13:880\u2013915","journal-title":"J Natl Compr Cancer Netw"},{"key":"1739_CR6","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1038\/s41416-019-0476-8","volume":"121","author":"J Louro","year":"2019","unstructured":"Louro J, Posso M, Hilton Boon M et al (2019) A systematic review and quality assessment of individualised breast cancer risk prediction models. Br J Cancer 121:76\u201385","journal-title":"Br J Cancer"},{"key":"1739_CR7","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1056\/NEJMoa062790","volume":"356","author":"NF Boyd","year":"2007","unstructured":"Boyd NF, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S, Yaffe MJ (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med 356:227\u2013236","journal-title":"N Engl J Med"},{"key":"1739_CR8","doi-asserted-by":"publisher","first-page":"798","DOI":"10.1016\/S1470-2045(05)70390-9","volume":"6","author":"NF Boyd","year":"2005","unstructured":"Boyd NF, Rommens JM, Vogt K et al (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6:798\u2013808","journal-title":"Lancet Oncol"},{"key":"1739_CR9","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1093\/jncics\/pkaa125","volume":"5","author":"AS Salazar","year":"2021","unstructured":"Salazar AS, Rakhmankulova M, Simon LE, Toriola AT (2021) Chemoprevention agents to reduce mammographic breast density in premenopausal women: a systematic review of clinical trials. JNCI Cancer Spectr 5:125","journal-title":"JNCI Cancer Spectr"},{"key":"1739_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1186\/s13058-020-01340-4","volume":"22","author":"AR Brentnall","year":"2020","unstructured":"Brentnall AR, Warren R, Harkness EF et al (2020) Mammographic density change in a cohort of premenopausal women receiving tamoxifen for breast cancer prevention over 5 years. Breast Cancer Res 22:101","journal-title":"Breast Cancer Res"},{"key":"1739_CR11","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1186\/s13058-014-0451-5","volume":"16","author":"J Warwick","year":"2014","unstructured":"Warwick J, Birke H, Stone J et al (2014) Mammographic breast density refines Tyrer\u2013Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I. Breast Cancer Res 16:451","journal-title":"Breast Cancer Res"},{"key":"1739_CR12","doi-asserted-by":"publisher","first-page":"4805","DOI":"10.3390\/cancers13194805","volume":"13","author":"A Mokhtary","year":"2021","unstructured":"Mokhtary A, Karakatsanis A, Valachis A (2021) Mammographic density changes over time and breast cancer risk: a systematic review and meta-analysis. Cancers 13:4805","journal-title":"Cancers"},{"key":"1739_CR13","doi-asserted-by":"publisher","first-page":"17489","DOI":"10.1038\/s41598-018-35929-9","volume":"8","author":"A Gastounioti","year":"2018","unstructured":"Gastounioti A, Hsieh MK, Cohen E, Pantalone L, Conant EF, Kontos D (2018) Incorporating breast anatomy in computational phenotyping of mammographic parenchymal patterns for breast cancer risk estimation. Sci Rep 8:17489","journal-title":"Sci Rep"},{"key":"1739_CR14","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1186\/s13058-017-0820-y","volume":"19","author":"M Eriksson","year":"2017","unstructured":"Eriksson M, Czene K, Pawitan Y, Leifland K, Darabi H, Hall P (2017) A clinical model for identifying the short-term risk of breast cancer. Breast Cancer Res 19:29","journal-title":"Breast Cancer Res"},{"key":"1739_CR15","doi-asserted-by":"publisher","first-page":"1732","DOI":"10.1200\/JCO.21.01337","volume":"40","author":"A Yala","year":"2021","unstructured":"Yala A, Mikhael PG, Strand F et al (2021) Multi-institutional validation of a mammography-based breast cancer risk model. J Clin Oncol 40:1732","journal-title":"J Clin Oncol"},{"key":"1739_CR16","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1093\/biostatistics\/kxab032","volume":"24","author":"S Jiang","year":"2023","unstructured":"Jiang S, Cao J, Colditz GA, Rosner B (2023) Predicting the onset of breast cancer using mammogram imaging data with irregular boundary. Biostatistics 24:358\u2013371","journal-title":"Biostatistics"},{"key":"1739_CR17","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1158\/1538-7445.AM2022-LB161","volume":"82","author":"S Jiang","year":"2022","unstructured":"Jiang S, Colditz G (2022) Abstract LB161: whole mammogram image improves breast cancer prediction. Cancer Res 82:161","journal-title":"Cancer Res"},{"key":"1739_CR18","doi-asserted-by":"publisher","first-page":"04","DOI":"10.1158\/1538-7445.SABCS22-PD14-04","volume":"83","author":"S Jiang","year":"2023","unstructured":"Jiang S, Colditz G (2023) Abstract PD14-04: PD14-04 Whole mammogram image-based Cox regression improves 5-year breast cancer prediction. Cancer Res 83:04","journal-title":"Cancer Res"},{"key":"1739_CR19","doi-asserted-by":"publisher","DOI":"10.1111\/biom.13611","author":"S Jiang","year":"2021","unstructured":"Jiang S, Cao J, Rosner B, Colditz GA (2021) Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data. Biometrics. https:\/\/doi.org\/10.1111\/biom.13611","journal-title":"Biometrics"},{"key":"1739_CR20","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1186\/s13058-022-01600-5","volume":"24","author":"A Anandarajah","year":"2022","unstructured":"Anandarajah A, Chen Y, Colditz GA, Hardi A, Stoll C, Jiang S (2022) Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature. Breast Cancer Res 24:101","journal-title":"Breast Cancer Res"},{"key":"1739_CR21","doi-asserted-by":"publisher","first-page":"2536","DOI":"10.1200\/JCO.22.01564","volume":"41","author":"M Eriksson","year":"2023","unstructured":"Eriksson M, Czene K, Vachon C, Conant EF, Hall P (2023) Long-term performance of an image-based short-term risk model for breast cancer. J Clin Oncol 41:2536\u20132545","journal-title":"J Clin Oncol"},{"key":"1739_CR22","doi-asserted-by":"publisher","first-page":"280","DOI":"10.7326\/0003-4819-158-4-201302190-00009","volume":"158","author":"JA Hayden","year":"2013","unstructured":"Hayden JA, van der Windt DA, Cartwright JL, Cote P, Bombardier C (2013) Assessing bias in studies of prognostic factors. Ann Intern Med 158:280\u2013286","journal-title":"Ann Intern Med"},{"key":"1739_CR23","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1093\/jnci\/djz149","volume":"112","author":"S Azam","year":"2020","unstructured":"Azam S, Eriksson M, Sj\u00f6lander A et al (2020) Mammographic density change and risk of breast cancer. J Natl Cancer Inst 112:391\u2013399","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR24","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1186\/s13058-019-1198-9","volume":"21","author":"KR Brandt","year":"2019","unstructured":"Brandt KR, Scott CG, Miglioretti DL et al (2019) Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer. Breast Cancer Res 21:118","journal-title":"Breast Cancer Res"},{"key":"1739_CR25","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1007\/s10552-016-0722-9","volume":"27","author":"MC Busana","year":"2016","unstructured":"Busana MC, De Stavola BL, Sovio U et al (2016) Assessing within-woman changes in mammographic density: a comparison of fully versus semi-automated area-based approaches. Cancer Causes Control 27:481\u2013491","journal-title":"Cancer Causes Control"},{"key":"1739_CR26","doi-asserted-by":"publisher","first-page":"01","DOI":"10.1093\/jnci\/djx001","volume":"109","author":"C Byrne","year":"2017","unstructured":"Byrne C, Ursin G, Martin CF et al (2017) Mammographic density change with estrogen and progestin therapy and breast cancer risk. J Natl Cancer Inst 109:01","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR27","first-page":"291","volume-title":"Breast imaging","author":"A Humphrey","year":"2016","unstructured":"Humphrey A, Harkness EF, Moschidis E et al (2016) Mammographic density over time in women with and without breast cancer. In: Lang KTATP (ed) Breast imaging. Springer, New York, pp 291\u20138"},{"key":"1739_CR28","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1158\/1940-6207.CAPR-20-0542","volume":"14","author":"D Kang","year":"2021","unstructured":"Kang D, Kim J-Y, Kim J-Y et al (2021) The relationship between breast density change during menopause and the risk of breast cancer in Korean women. Cancer Prev Res 14:1119","journal-title":"Cancer Prev Res"},{"key":"1739_CR29","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1158\/1055-9965.EPI-15-0035","volume":"24","author":"K Kerlikowske","year":"2015","unstructured":"Kerlikowske K, Gard CC, Sprague BL, Tice JA, Miglioretti DL, Breast Cancer Surveillance Consortium (2015) One versus two breast density measures to predict 5- and 10-year breast cancer risk. Cancer Epidemiol Biomark Prev 24:889\u2013897","journal-title":"Cancer Epidemiol Biomark Prev"},{"key":"1739_CR30","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1093\/jnci\/djk066","volume":"99","author":"K Kerlikowske","year":"2007","unstructured":"Kerlikowske K, Ichikawa L, Miglioretti DL et al (2007) Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. J Natl Cancer Inst 99:386\u2013395","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR31","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1166\/jmihi.2016.1704","volume":"6","author":"DAA Khoo","year":"2016","unstructured":"Khoo DAA, Li J, Czene K, Hall P, Humphreys K, Law YN (2016) A combined segmentation and registration framework for bilateral and temporal mammogram analysis. J Med Imaging Health Inform 6:380\u2013386","journal-title":"J Med Imaging Health Inform"},{"key":"1739_CR32","doi-asserted-by":"publisher","first-page":"4687","DOI":"10.1002\/cncr.33138","volume":"126","author":"EY Kim","year":"2020","unstructured":"Kim EY, Chang Y, Ahn J et al (2020) Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women. Cancer 126:4687","journal-title":"Cancer"},{"key":"1739_CR33","doi-asserted-by":"publisher","first-page":"2674","DOI":"10.1002\/ijc.33455","volume":"148","author":"S Kim","year":"2021","unstructured":"Kim S, Park B (2021) Association between changes in mammographic density category and the risk of breast cancer: a nationwide cohort study in East-Asian women. Int J Cancer 148:2674\u20132684","journal-title":"Int J Cancer"},{"key":"1739_CR34","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1093\/aje\/kws446","volume":"178","author":"M Lokate","year":"2013","unstructured":"Lokate M, Stellato RK, Veldhuis WB, Peeters PHM, Van Gils CH (2013) Age-related changes in mammographic density and breast cancer risk. Am J Epidemiol 178:101\u2013109","journal-title":"Am J Epidemiol"},{"key":"1739_CR35","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1158\/1055-9965.EPI-05-0798","volume":"15","author":"G Maskarinec","year":"2006","unstructured":"Maskarinec G, Pagano I, Lurie G, Kolonel LN (2006) A longitudinal investigation of mammographic density: the multiethnic cohort. Cancer Epidemiol Biomark Prev 15:732\u2013739","journal-title":"Cancer Epidemiol Biomark Prev"},{"key":"1739_CR36","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.breast.2019.04.007","volume":"46","author":"M Roman","year":"2019","unstructured":"Roman M, Sala M, Bare M et al (2019) Changes in mammographic density over time and the risk of breast cancer: an observational cohort study. Breast 46:108\u2013115","journal-title":"Breast"},{"key":"1739_CR37","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1080\/028418698430241","volume":"37","author":"TM Salminen","year":"1998","unstructured":"Salminen TM, Saarenmaa IE, Heikkila MM, Hakama M (1998) Risk of breast cancer and changes in mammographic parenchymal patterns over time. Acta Oncol 37:547\u2013551","journal-title":"Acta Oncol"},{"key":"1739_CR38","doi-asserted-by":"publisher","first-page":"108980","DOI":"10.1016\/j.ejrad.2020.108980","volume":"127","author":"H Sartor","year":"2020","unstructured":"Sartor H, Kontos D, Ull\u00e9n S, F\u00f6rnvik H, F\u00f6rnvik D (2020) Changes in breast density over serial mammograms: a case-control study. Eur J Radiol 127:108980","journal-title":"Eur J Radiol"},{"key":"1739_CR39","doi-asserted-by":"publisher","first-page":"1719","DOI":"10.1109\/TMI.2016.2527619","volume":"35","author":"M Tan","year":"2016","unstructured":"Tan M, Zheng B, Leader JK, Gur D (2016) Association between changes in mammographic image features and risk for near-term breast cancer development. IEEE Trans Med Imaging 35:1719\u20131728","journal-title":"IEEE Trans Med Imaging"},{"key":"1739_CR40","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1158\/1055-9965.EPI-06-1047","volume":"16","author":"CM Vachon","year":"2007","unstructured":"Vachon CM, Pankratz VS, Scott CG et al (2007) Longitudinal trends in mammographic percent density and breast cancer risk. Cancer Epidemiol Biomark Prev 16:921\u2013928","journal-title":"Cancer Epidemiol Biomark Prev"},{"key":"1739_CR41","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1097\/00008469-199912000-00006","volume":"8","author":"CH Van Gils","year":"1999","unstructured":"Van Gils CH, Hendriks JHCL, Holland R et al (1999) Changes in mammographic breast density and concomitant changes in breast cancer risk. Eur J Cancer Prev 8:509\u2013515","journal-title":"Eur J Cancer Prev"},{"key":"1739_CR42","doi-asserted-by":"publisher","first-page":"1740","DOI":"10.1002\/ijc.28825","volume":"135","author":"ME Work","year":"2014","unstructured":"Work ME, Reimers LL, Quante AS, Crew KD, Whiffen A, Terry MB (2014) Changes in mammographic density over time in breast cancer cases and women at high risk for breast cancer. Int J Cancer 135:1740\u20131744","journal-title":"Int J Cancer"},{"key":"1739_CR43","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s10549-018-4690-5","volume":"169","author":"M Eriksson","year":"2018","unstructured":"Eriksson M, Li J, Leifland K, Czene K, Hall P (2018) A comprehensive tool for measuring mammographic density changes over time. Breast Cancer Res Treat 169:371\u2013379","journal-title":"Breast Cancer Res Treat"},{"key":"1739_CR44","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.1056\/NEJMp2000589","volume":"382","author":"MJ Pencina","year":"2020","unstructured":"Pencina MJ, Goldstein BA, D\u2019Agostino RB (2020) Prediction models\u2014development, evaluation, and clinical application. N Engl J Med 382:1583\u20131586","journal-title":"N Engl J Med"},{"key":"1739_CR45","doi-asserted-by":"publisher","first-page":"e1002335","DOI":"10.1371\/journal.pmed.1002335","volume":"14","author":"A Burton","year":"2017","unstructured":"Burton A, Maskarinec G, Perez-Gomez B et al (2017) Mammographic density and ageing: a collaborative pooled analysis of cross-sectional data from 22 countries worldwide. PLoS Med 14:e1002335","journal-title":"PLoS Med"},{"key":"1739_CR46","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1158\/1940-6207.CAPR-20-0542","volume":"14","author":"D Kang","year":"2021","unstructured":"Kang D, Kim JY, Kim JY et al (2021) The relationship between breast density change during menopause and the risk of breast cancer in Korean women. Cancer Prev Res 14:1119\u20131127","journal-title":"Cancer Prev Res"},{"key":"1739_CR47","doi-asserted-by":"publisher","first-page":"4687","DOI":"10.1002\/cncr.33138","volume":"126","author":"EY Kim","year":"2020","unstructured":"Kim EY, Chang Y, Ahn J et al (2020) Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women. Cancer 126:4687\u20134696","journal-title":"Cancer"},{"key":"1739_CR48","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1093\/jnci\/dju078","volume":"106","author":"A Pettersson","year":"2014","unstructured":"Pettersson A, Graff RE, Ursin G et al (2014) Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst 106:78","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR49","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1158\/1055-9965.EPI-16-0499","volume":"26","author":"K Krishnan","year":"2017","unstructured":"Krishnan K, Baglietto L, Stone J et al (2017) Longitudinal study of mammographic density measures that predict breast cancer risk. Cancer Epidemiol Biomark Prev 26:651\u2013660","journal-title":"Cancer Epidemiol Biomark Prev"},{"key":"1739_CR50","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2023.0434","author":"S Jiang","year":"2023","unstructured":"Jiang S, Bennett DL, Rosner BA, Colditz GA (2023) Longitudinal analysis of change in mammographic density in each breast and its association with breast cancer risk. JAMA Oncol. https:\/\/doi.org\/10.1001\/jamaoncol.2023.0434","journal-title":"JAMA Oncol"},{"key":"1739_CR51","doi-asserted-by":"publisher","first-page":"3222","DOI":"10.1016\/j.ejrad.2012.04.018","volume":"81","author":"B Zheng","year":"2012","unstructured":"Zheng B, Sumkin JH, Zuley ML, Wang X, Klym AH, Gur D (2012) Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment. Eur J Radiol 81:3222\u20133228","journal-title":"Eur J Radiol"},{"key":"1739_CR52","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.acra.2011.10.026","volume":"19","author":"X Wang","year":"2012","unstructured":"Wang X, Li L, Xu W, Liu W, Lederman D, Zheng B (2012) Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment. Acad Radiol 19:303\u2013310","journal-title":"Acad Radiol"},{"key":"1739_CR53","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/09286586.2020.1786590","volume":"28","author":"GS Ying","year":"2021","unstructured":"Ying GS, Maguire MG, Glynn RJ, Rosner B (2021) Tutorial on biostatistics: longitudinal analysis of correlated continuous eye data. Ophthalmic Epidemiol 28:3\u201320","journal-title":"Ophthalmic Epidemiol"},{"key":"1739_CR54","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s13058-019-1099-y","volume":"21","author":"F Strand","year":"2019","unstructured":"Strand F, Azavedo E, Hellgren R et al (2019) Localized mammographic density is associated with interval cancer and large breast cancer: a nested case-control study. Breast Cancer Res 21:8","journal-title":"Breast Cancer Res"},{"key":"1739_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2023.01.007","author":"EB Ambinder","year":"2023","unstructured":"Ambinder EB, Lee E, Nguyen DL, Gong AJ, Haken OJ, Visvanathan K (2023) Interval breast cancers versus screen detected breast cancers: a retrospective cohort study. Acad Radiol. https:\/\/doi.org\/10.1016\/j.acra.2023.01.007","journal-title":"Acad Radiol"},{"key":"1739_CR56","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.2214\/ajr.183.4.1831149","volume":"183","author":"F Sardanelli","year":"2004","unstructured":"Sardanelli F, Giuseppetti GM, Panizza P et al (2004) Sensitivity of MRI versus mammography for detecting foci of multifocal, multicentric breast cancer in fatty and dense breasts using the whole-breast pathologic examination as a gold standard. Am J Roentgenol 183:1149\u20131157","journal-title":"Am J Roentgenol"},{"key":"1739_CR57","doi-asserted-by":"publisher","first-page":"2403","DOI":"10.1200\/JCO.22.01445","volume":"41","author":"WA Berg","year":"2023","unstructured":"Berg WA, Zuley ML, Chang TS et al (2023) Prospective multicenter diagnostic performance of technologist-performed screening breast ultrasound after tomosynthesis in women with dense breasts (the DBTUST). J Clin Oncol 41:2403\u20132415","journal-title":"J Clin Oncol"},{"key":"1739_CR58","doi-asserted-by":"publisher","first-page":"3152","DOI":"10.1200\/JCO.19.01472","volume":"37","author":"K Visvanathan","year":"2019","unstructured":"Visvanathan K, Fabian CJ, Bantug E et al (2019) Use of endocrine therapy for breast cancer risk reduction: ASCO clinical practice guideline update. J Clin Oncol 37:3152\u20133165","journal-title":"J Clin Oncol"},{"key":"1739_CR59","doi-asserted-by":"publisher","first-page":"511","DOI":"10.3390\/jpm11060511","volume":"11","author":"JD Brooks","year":"2021","unstructured":"Brooks JD, Nabi HH, Andrulis IL et al (2021) Personalized risk assessment for prevention and early detection of breast cancer: integration and implementation (PERSPECTIVE I&I). J Pers Med 11:511","journal-title":"J Pers Med"},{"key":"1739_CR60","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1093\/jnci\/djw290","volume":"109","author":"Y Shieh","year":"2017","unstructured":"Shieh Y, Eklund M, Madlensky L et al (2017) Breast cancer screening in the precision medicine era: risk-based screening in a population-based trial. J Natl Cancer Inst 109:290","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR61","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1093\/jnci\/djaa127","volume":"113","author":"JJ van den Broek","year":"2021","unstructured":"van den Broek JJ, Schechter CB, van Ravesteyn NT et al (2021) Personalizing breast cancer screening based on polygenic risk and family history. J Natl Cancer Inst 113:434\u2013442","journal-title":"J Natl Cancer Inst"},{"key":"1739_CR62","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1038\/s41571-020-0388-9","volume":"17","author":"N Pashayan","year":"2020","unstructured":"Pashayan N, Antoniou AC, Ivanus U et al (2020) Personalized early detection and prevention of breast cancer: ENVISION consensus statement. Nat Rev Clin Oncol 17:687\u2013705","journal-title":"Nat Rev Clin Oncol"},{"key":"1739_CR63","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.1001\/jamaoncol.2018.1901","volume":"4","author":"N Pashayan","year":"2018","unstructured":"Pashayan N, Morris S, Gilbert FJ, Pharoah PDP (2018) Cost-effectiveness and benefit-to-harm ratio of risk-stratified screening for breast cancer: a life-table model. JAMA Oncol 4:1504\u20131510","journal-title":"JAMA Oncol"},{"key":"1739_CR64","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1038\/s41568-020-0266-x","volume":"20","author":"KL Britt","year":"2020","unstructured":"Britt KL, Cuzick J, Phillips KA (2020) Key steps for effective breast cancer prevention. Nat Rev Cancer 20:417\u2013436","journal-title":"Nat Rev Cancer"},{"key":"1739_CR65","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1158\/2159-8290.CD-20-0466","volume":"10","author":"MJ Serrano","year":"2020","unstructured":"Serrano MJ, Garrido-Navas MC, Diaz Mochon JJ et al (2020) Precision prevention and cancer interception: the new challenges of liquid biopsy. Cancer Discov 10:1635\u20131644","journal-title":"Cancer Discov"},{"key":"1739_CR66","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1016\/S1470-2045(17)30331-5","volume":"18","author":"P Vineis","year":"2017","unstructured":"Vineis P, Wild CP (2017) The science of precision prevention of cancer. Lancet Oncol 18:997\u2013998","journal-title":"Lancet Oncol"},{"key":"1739_CR67","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1007\/s10198-021-01338-5","volume":"22","author":"N Muhlberger","year":"2021","unstructured":"Muhlberger N, Sroczynski G, Gogollari A et al (2021) Cost effectiveness of breast cancer screening and prevention: a systematic review with a focus on risk-adapted strategies. Eur J Health Econ 22:1311\u20131344","journal-title":"Eur J Health Econ"},{"key":"1739_CR68","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1093\/jnci\/djaa219","volume":"113","author":"LE Pace","year":"2021","unstructured":"Pace LE, Keating NL (2021) Should women at lower-than-average risk of breast cancer undergo less frequent screening? J Natl Cancer Inst 113:953\u2013954","journal-title":"J Natl Cancer Inst"}],"container-title":["Cancer Causes &amp; Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10552-023-01739-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10552-023-01739-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10552-023-01739-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T02:03:22Z","timestamp":1695866602000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10552-023-01739-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,20]]},"references-count":68,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["1739"],"URL":"https:\/\/doi.org\/10.1007\/s10552-023-01739-2","relation":{},"ISSN":["0957-5243","1573-7225"],"issn-type":[{"value":"0957-5243","type":"print"},{"value":"1573-7225","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,20]]},"assertion":[{"value":"1 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"This study did not involve human subjects, and therefore oversight from an Institutional Review Board was not required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}