{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:34:46Z","timestamp":1786980886360,"version":"build-2736575974"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA140286"],"award-info":[{"award-number":["R01CA140286"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA2128931"],"award-info":[{"award-number":["R01CA2128931"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA97396"],"award-info":[{"award-number":["R01CA97396"]}],"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":["R01CA124865"],"award-info":[{"award-number":["R01CA124865"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01CA131332"],"award-info":[{"award-number":["R01CA131332"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P50CA116201"],"award-info":[{"award-number":["P50CA116201"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P50CA58207"],"award-info":[{"award-number":["P50CA58207"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01CA63740"],"award-info":[{"award-number":["U01CA63740"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P01CA154292"],"award-info":[{"award-number":["P01CA154292"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01CA116167"],"award-info":[{"award-number":["R01CA116167"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P01CA087969"],"award-info":[{"award-number":["P01CA087969"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01CA050385"],"award-info":[{"award-number":["R01CA050385"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UM1CA176726"],"award-info":[{"award-number":["UM1CA176726"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["UM1CA186107"],"award-info":[{"award-number":["UM1CA186107"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["DAMD17-00-1-033"],"award-info":[{"award-number":["DAMD17-00-1-033"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Breast Cancer Res Treat"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s10549-020-06049-8","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T22:03:18Z","timestamp":1609711398000},"page":"215-224","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Association of mammographic density measures and breast cancer \u201cintrinsic\u201d molecular subtypes"],"prefix":"10.1007","volume":"187","author":[{"given":"Geffen","family":"Kleinstern","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher G.","family":"Scott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rulla M.","family":"Tamimi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew R.","family":"Jensen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V. Shane","family":"Pankratz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kimberly A.","family":"Bertrand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron D.","family":"Norman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel W.","family":"Visscher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fergus J.","family":"Couch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen","family":"Brandt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Shepherd","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang-Fang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunn-Yi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven R.","family":"Cummings","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stacey","family":"Winham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karla","family":"Kerlikowske","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1962-9322","authenticated-orcid":false,"given":"Celine M.","family":"Vachon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"issue":"6","key":"6049_CR1","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1158\/1055-9965.EPI-06-0034","volume":"15","author":"VA McCormack","year":"2006","unstructured":"McCormack VA, dos Santos SI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev 15(6):1159\u20131169","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"2","key":"6049_CR2","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1007\/s10549-012-2127-0","volume":"134","author":"L Eriksson","year":"2012","unstructured":"Eriksson L, Czene K, Rosenberg L, Humphreys K, Hall P (2012) The influence of mammographic density on breast tumor characteristics. Breast Cancer Res Treat 134(2):859\u2013866","journal-title":"Breast Cancer Res Treat"},{"issue":"15","key":"6049_CR3","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1093\/jnci\/djr225","volume":"103","author":"L Yaghjyan","year":"2011","unstructured":"Yaghjyan L, Colditz GA, Collins LC, Schnitt SJ, Rosner B, Vachon C, Tamimi RM (2011) Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics. J Natl Cancer Inst 103(15):1179\u20131189","journal-title":"J Natl Cancer Inst"},{"issue":"8","key":"6049_CR4","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.1093\/annonc\/mdp362","volume":"20","author":"JH Chen","year":"2009","unstructured":"Chen JH, Hsu FT, Shih HN, Hsu CC, Chang D, Nie K, Nalcioglu O, Su MY (2009) Does breast density show difference in patients with estrogen receptor-positive and estrogen receptor-negative breast cancer measured on MRI? Ann Oncol 20(8):1447\u20131449","journal-title":"Ann Oncol"},{"issue":"1","key":"6049_CR5","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1038\/bjc.2012.234","volume":"107","author":"L Eriksson","year":"2012","unstructured":"Eriksson L, Hall P, Czene K, dos Santos SI, McCormack V, Bergh J, Bjohle J, Ploner A (2012) Mammographic density and molecular subtypes of breast cancer. Br J Cancer 107(1):18\u201323","journal-title":"Br J Cancer"},{"issue":"5","key":"6049_CR6","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.annepidem.2012.02.002","volume":"22","author":"AI Phipps","year":"2012","unstructured":"Phipps AI, Buist DSM, Malone KE, Barlow WE, Porter PL, Kerlikowske K, O\u2019Meara ES, Li CI (2012) Breast density, body mass index, and risk of tumor marker-defined subtypes of breast cancer. Ann Epidemiol 22(5):340\u2013348","journal-title":"Ann Epidemiol"},{"issue":"3","key":"6049_CR7","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/s10549-007-9810-6","volume":"111","author":"W-T Yang","year":"2008","unstructured":"Yang W-T, Dryden M, Broglio K, Gilcrease M, Dawood S, Dempsey PJ, Valero V, Hortobagyi G, Atchley D, Arun B (2008) Mammographic features of triple receptor-negative primary breast cancers in young premenopausal women. Breast Cancer Res Treat 111(3):405\u2013410","journal-title":"Breast Cancer Res Treat"},{"key":"6049_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-020-05820-1","author":"M Pizzato","year":"2020","unstructured":"Pizzato M, Carioli G, Rosso S, Zanetti R, La Vecchia C (2020) The impact of selected risk factors among breast cancer molecular subtypes: a case-only study. Breast Cancer Res Treat. https:\/\/doi.org\/10.1007\/s10549-020-05820-1","journal-title":"Breast Cancer Res Treat."},{"key":"6049_CR9","doi-asserted-by":"crossref","first-page":"6026315","DOI":"10.1155\/2018\/6026315","volume":"2018","author":"AJ Shaikh","year":"2018","unstructured":"Shaikh AJ, Mullooly M, Sayed S, Ndumia R, Abayo I, Orwa J, Wasike R, Moloo Z, Gierach GL (2018) Mammographic breast density and breast cancer molecular subtypes: the Kenyan-African aspect. Biomed Res Int 2018:6026315","journal-title":"Biomed Res Int"},{"issue":"2","key":"6049_CR10","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1007\/s10549-012-2362-4","volume":"137","author":"S Antoni","year":"2013","unstructured":"Antoni S, Sasco AJ, dos Santos SI, McCormack V (2013) Is mammographic density differentially associated with breast cancer according to receptor status? A meta-analysis. Breast Cancer Res Treat 137(2):337\u2013347","journal-title":"Breast Cancer Res Treat"},{"issue":"13","key":"6049_CR11","doi-asserted-by":"crossref","first-page":"3708","DOI":"10.1158\/0008-5472.CAN-16-2574","volume":"77","author":"J Holm","year":"2017","unstructured":"Holm J, Eriksson L, Ploner A, Eriksson M, Rantalainen M, Li J, Hall P, Czene K (2017) Assessment of breast cancer risk factors reveals subtype heterogeneity. Cancer Res 77(13):3708\u20133717","journal-title":"Cancer Res"},{"issue":"2","key":"6049_CR12","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s10549-019-05325-6","volume":"177","author":"E Li","year":"2019","unstructured":"Li E, Guida JL, Tian Y, Sung H, Koka H, Li M, Chan A, Zhang H, Tang E, Guo C et al (2019) Associations between mammographic density and tumor characteristics in Chinese women with breast cancer. Breast Cancer Res Treat 177(2):527\u2013536","journal-title":"Breast Cancer Res Treat"},{"issue":"6","key":"6049_CR13","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1007\/s10552-015-0576-6","volume":"26","author":"H Sartor","year":"2015","unstructured":"Sartor H, Zackrisson S, Elebro K, Hartman L, Borgquist S (2015) Mammographic density in relation to tumor biomarkers, molecular subtypes, and mode of detection in breast cancer. Cancer Causes Control 26(6):931\u2013939","journal-title":"Cancer Causes Control"},{"issue":"3","key":"6049_CR14","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1097\/CEJ.0000000000000353","volume":"27","author":"J Shin","year":"2018","unstructured":"Shin J, Lee JE, Ko HY, Nguyen TL, Nam SJ, Hopper JL, Song Y-M (2018) Association between mammographic density and tumor marker-defined breast cancer subtypes. Eur J Cancer Prev 27(3):239\u2013247","journal-title":"Eur J Cancer Prev"},{"issue":"3","key":"6049_CR15","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1186\/bcr2102","volume":"10","author":"MJ Yaffe","year":"2008","unstructured":"Yaffe MJ (2008) Mammographic density. Measurement of mammographic density. Breast Cancer Res. 10(3):209\u2013209","journal-title":"Breast Cancer Res."},{"issue":"6","key":"6049_CR16","doi-asserted-by":"crossref","first-page":"R104","DOI":"10.1186\/bcr3570","volume":"15","author":"KA Bertrand","year":"2013","unstructured":"Bertrand KA, Tamimi RM, Scott CG, Jensen MR, Pankratz VS, Visscher D, Norman A, Couch F, Shepherd J, Fan B et al (2013) Mammographic density and risk of breast cancer by age and tumor characteristics. Breast Cancer Res 15(6):R104\u2013R104","journal-title":"Breast Cancer Res"},{"key":"6049_CR17","first-page":"261","volume":"11","author":"HA Velasquez Garcia","year":"2019","unstructured":"Velasquez Garcia HA, Gotay CC, Wilson CM, Lohrisch CA, Lai AS, Aronson KJ, Spinelli JJ (2019) Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women. Breast Cancer (Dove Med Press) 11:261\u2013271","journal-title":"Breast Cancer (Dove Med Press)"},{"issue":"5","key":"6049_CR18","doi-asserted-by":"crossref","first-page":"R103","DOI":"10.1186\/bcr3044","volume":"13","author":"M Lokate","year":"2011","unstructured":"Lokate M, Peeters PHM, Peelen LM, Haars G, Veldhuis WB, van Gils CH (2011) Mammographic density and breast cancer risk: the role of the fat surrounding the fibroglandular tissue. Breast Cancer Res 13(5):R103\u2013R103","journal-title":"Breast Cancer Res"},{"key":"6049_CR19","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/dju078","author":"A Pettersson","year":"2014","unstructured":"Pettersson A, Graff RE, Ursin G, dos Santos SI, McCormack V, Baglietto L, Vachon C, Bakker MF, Giles GG, Chia KS et al (2014) Mammographic density phenotypes and risk of breast cancer: a meta-analysis. J Natl Cancer Inst. https:\/\/doi.org\/10.1093\/jnci\/dju078","journal-title":"J Natl Cancer Inst"},{"issue":"5","key":"6049_CR20","doi-asserted-by":"crossref","first-page":"R100","DOI":"10.1186\/bcr3041","volume":"13","author":"A Pettersson","year":"2011","unstructured":"Pettersson A, Hankinson SE, Willett WC, Lagiou P, Trichopoulos D, Tamimi RM (2011) Nondense mammographic area and risk of breast cancer. Breast Cancer Res 13(5):R100\u2013R100","journal-title":"Breast Cancer Res"},{"issue":"6","key":"6049_CR21","doi-asserted-by":"crossref","first-page":"R97","DOI":"10.1186\/bcr2778","volume":"12","author":"J Stone","year":"2010","unstructured":"Stone J, Ding J, Warren RML, Duffy SW, Hopper JL (2010) Using mammographic density to predict breast cancer risk: dense area or percentage dense area. Breast Cancer Res 12(6):R97\u2013R97","journal-title":"Breast Cancer Res"},{"issue":"5","key":"6049_CR22","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1158\/1055-9965.EPI-14-1136","volume":"24","author":"KA Bertrand","year":"2015","unstructured":"Bertrand KA, Scott CG, Tamimi RM, Jensen MR, Pankratz VS, Norman AD, Visscher DW, Couch FJ, Shepherd J, Chen YY et al (2015) Dense and nondense mammographic area and risk of breast cancer by age and tumor characteristics. Cancer Epidemiol Biomarkers Prev 24(5):798\u2013809","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"4","key":"6049_CR23","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1016\/j.breast.2015.04.001","volume":"24","author":"J Inns","year":"2015","unstructured":"Inns J, James V (2015) Circulating microRNAs for the prediction of metastasis in breast cancer patients diagnosed with early stage disease. Breast 24(4):364\u2013369","journal-title":"Breast"},{"issue":"1","key":"6049_CR24","doi-asserted-by":"crossref","first-page":"11584","DOI":"10.1038\/s41598-018-29917-2","volume":"8","author":"M Kahraman","year":"2018","unstructured":"Kahraman M, R\u00f6ske A, Laufer T, Fehlmann T, Backes C, Kern F, Kohlhaas J, Schr\u00f6rs H, Saiz A, Zabler C et al (2018) MicroRNA in diagnosis and therapy monitoring of early-stage triple-negative breast cancer. Sci Rep 8(1):11584\u201311584","journal-title":"Sci Rep"},{"issue":"1","key":"6049_CR25","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1186\/s13058-015-0526-y","volume":"17","author":"E van Schooneveld","year":"2015","unstructured":"van Schooneveld E, Wildiers H, Vergote I, Vermeulen PB, Dirix LY, Van Laere SJ (2015) Dysregulation of microRNAs in breast cancer and their potential role as prognostic and predictive biomarkers in patient management. Breast Cancer Res 17(1):21\u201321","journal-title":"Breast Cancer Res"},{"issue":"13","key":"6049_CR26","doi-asserted-by":"crossref","first-page":"1028","DOI":"10.1093\/jnci\/djs254","volume":"104","author":"JJ Heine","year":"2012","unstructured":"Heine JJ, Scott CG, Sellers TA, Brandt KR, Serie DJ, Wu F-F, Morton MJ, Schueler BA, Couch FJ, Olson JE et al (2012) A novel automated mammographic density measure and breast cancer risk. J Natl Cancer Inst 104(13):1028\u20131037","journal-title":"J Natl Cancer Inst"},{"issue":"6","key":"6049_CR27","doi-asserted-by":"crossref","first-page":"R147","DOI":"10.1186\/bcr3357","volume":"14","author":"JE Olson","year":"2012","unstructured":"Olson JE, Sellers TA, Scott CG, Schueler BA, Brandt KR, Serie DJ, Jensen MR, Wu F-F, Morton MJ, Heine JJ et al (2012) The influence of mammogram acquisition on the mammographic density and breast cancer association in the Mayo Mammography Health Study cohort. Breast Cancer Res 14(6):R147","journal-title":"Breast Cancer Res"},{"issue":"4","key":"6049_CR28","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1158\/1055-9965.EPI-07-0559","volume":"17","author":"K Ghosh","year":"2008","unstructured":"Ghosh K, Brandt KR, Sellers TA, Reynolds C, Scott CG, Maloney SD, Carston MJ, Pankratz VS, Vachon CM (2008) Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women. Cancer Epidemiol Biomarkers Prev 17(4):872\u2013879","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"2","key":"6049_CR29","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1158\/1055-9965.EPI-08-0805","volume":"18","author":"H Ma","year":"2009","unstructured":"Ma H, Luo J, Press MF, Wang Y, Bernstein L, Ursin G (2009) Is there a difference in the association between percent mammographic density and subtypes of breast cancer? Luminal A and triple-negative breast cancer. Cancer Epidemiol Biomarkers Prev 18(2):479\u2013485","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"5","key":"6049_CR30","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1038\/nrc1608","volume":"5","author":"GA Colditz","year":"2005","unstructured":"Colditz GA, Hankinson SE (2005) The Nurses\u2019 Health Study: lifestyle and health among women. Nat Rev Can 5(5):388\u2013396","journal-title":"Nat Rev Can"},{"issue":"11 Pt 1","key":"6049_CR31","doi-asserted-by":"crossref","first-page":"2641","DOI":"10.1158\/1055-9965.EPI-05-0558","volume":"14","author":"RM Tamimi","year":"2005","unstructured":"Tamimi RM, Hankinson SE, Colditz GA, Byrne C (2005) Endogenous sex hormone levels and mammographic density among postmenopausal women. Cancer Epidemiol Biomarkers Prev 14(11 Pt 1):2641\u20132647","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"4","key":"6049_CR32","doi-asserted-by":"crossref","first-page":"2476","DOI":"10.1158\/0008-5472.CAN-05-3369","volume":"66","author":"SS Tworoger","year":"2006","unstructured":"Tworoger SS, Sluss P, Hankinson SE (2006) Association between plasma prolactin concentrations and risk of breast cancer among predominately premenopausal women. Cancer Res 66(4):2476\u20132482","journal-title":"Cancer Res"},{"issue":"1","key":"6049_CR33","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1158\/1055-9965.EPI-06-0738","volume":"16","author":"CM Vachon","year":"2007","unstructured":"Vachon CM, Brandt KR, Ghosh K, Scott CG, Maloney SD, Carston MJ, Pankratz VS, Sellers TA (2007) Mammographic breast density as a general marker of breast cancer risk. Cancer Epidemiol Biomarkers Prev 16(1):43\u201349","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"11","key":"6049_CR34","doi-asserted-by":"crossref","first-page":"855","DOI":"10.7326\/0003-4819-133-11-200012050-00009","volume":"133","author":"K Kerlikowske","year":"2000","unstructured":"Kerlikowske K, Carney PA, Geller B, Mandelson MT, Taplin SH, Malvin K, Ernster V, Urban N, Cutter G, Rosenberg R et al (2000) Performance of screening mammography among women with and without a first-degree relative with breast cancer. Ann intern Med 133(11):855\u2013863","journal-title":"Ann intern Med"},{"issue":"5","key":"6049_CR35","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1093\/jnci\/dji056","volume":"97","author":"K Kerlikowske","year":"2005","unstructured":"Kerlikowske K, Shepherd J, Creasman J, Tice JA, Ziv E, Cummings SR (2005) Are breast density and bone mineral density independent risk factors for breast cancer? J Natl Cancer Inst 97(5):368\u2013374","journal-title":"J Natl Cancer Inst"},{"issue":"12","key":"6049_CR36","doi-asserted-by":"crossref","first-page":"2090","DOI":"10.1158\/1055-9965.2090.13.12","volume":"13","author":"E Ziv","year":"2004","unstructured":"Ziv E, Tice J, Smith-Bindman R, Shepherd J, Cummings S, Kerlikowske K (2004) Mammographic density and estrogen receptor status of breast cancer. Cancer Epidemiol Biomarkers Prev 13(12):2090\u20132095","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"8","key":"6049_CR37","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1038\/sj.bjc.6600537","volume":"87","author":"NF Boyd","year":"2002","unstructured":"Boyd NF, Stone J, Martin LJ, Jong R, Fishell E, Yaffe M, Hammond G, Minkin S (2002) The association of breast mitogens with mammographic densities. Br J Cancer 87(8):876\u2013882","journal-title":"Br J Cancer"},{"issue":"7","key":"6049_CR38","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.1158\/1055-9965.EPI-10-1150","volume":"20","author":"JA Shepherd","year":"2011","unstructured":"Shepherd JA, Kerlikowske K, Ma L, Duewer F, Fan B, Wang J, Malkov S, Vittinghoff E, Cummings SR (2011) Volume of mammographic density and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 20(7):1473\u20131482","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"11","key":"6049_CR39","first-page":"1389","volume":"11","author":"S Prevrhal","year":"2002","unstructured":"Prevrhal S, Shepherd JA, Smith-Bindman R, Cummings SR, Kerlikowske K (2002) Accuracy of mammographic breast density analysis: results of formal operator training. Cancer Epidemiol Biomarkers Prev 11(11):1389\u20131393","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"10","key":"6049_CR40","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1158\/1055-9965.EPI-16-0881","volume":"26","author":"BL Edwards","year":"2017","unstructured":"Edwards BL, Atkins KA, Stukenborg GJ, Novicoff WM, Larson KN, Cohn WF, Harvey JA, Schroen AT (2017) The association of mammographic density and molecular breast cancer subtype. Cancer Epidemiol Biomarkers Prev 26(10):1487\u20131492","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"1","key":"6049_CR41","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1186\/s12885-017-3871-7","volume":"17","author":"K Krishnan","year":"2017","unstructured":"Krishnan K, Baglietto L, Stone J, McLean C, Southey MC, English DR, Giles GG, Hopper JL (2017) Mammographic density and risk of breast cancer by tumor characteristics: a case-control study. BMC Cancer 17(1):859\u2013859","journal-title":"BMC Cancer"},{"issue":"5","key":"6049_CR42","doi-asserted-by":"crossref","first-page":"R76","DOI":"10.1186\/bcr3470","volume":"15","author":"H Razzaghi","year":"2013","unstructured":"Razzaghi H, Troester MA, Gierach GL, Olshan AF, Yankaskas BC, Millikan RC (2013) Association between mammographic density and basal-like and luminal A breast cancer subtypes. Breast Cancer Res 15(5):R76\u2013R76","journal-title":"Breast Cancer Res"},{"issue":"2","key":"6049_CR43","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s10549-017-4341-2","volume":"165","author":"L Yaghjyan","year":"2017","unstructured":"Yaghjyan L, Tamimi RM, Bertrand KA, Scott CG, Jensen MR, Pankratz VS, Brandt K, Visscher D, Norman A, Couch F et al (2017) Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes. Breast Cancer Res Treat 165(2):421\u2013431","journal-title":"Breast Cancer Res Treat"},{"issue":"11 Pt 1","key":"6049_CR44","doi-asserted-by":"crossref","first-page":"2634","DOI":"10.1158\/1055-9965.EPI-05-0824","volume":"14","author":"G Haars","year":"2005","unstructured":"Haars G, van Noord PA, van Gils CH, Grobbee DE, Peeters PH (2005) Measurements of breast density: no ratio for a ratio. Cancer Epidemiol Biomarkers Prev 14(11 Pt 1):2634\u20132640","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"13","key":"6049_CR45","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1200\/JCO.2009.23.4120","volume":"28","author":"K Ghosh","year":"2010","unstructured":"Ghosh K, Hartmann LC, Reynolds C, Visscher DW, Brandt KR, Vierkant RA, Scott CG, Radisky DC, Sellers TA, Pankratz VS et al (2010) Association between mammographic density and age-related lobular involution of the breast. J Clin Oncol 28(13):2207\u20132212","journal-title":"J Clin Oncol"},{"issue":"2","key":"6049_CR46","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1158\/1940-6207.CAPR-15-0282","volume":"9","author":"GL Gierach","year":"2016","unstructured":"Gierach GL, Patel DA, Pfeiffer RM, Figueroa JD, Linville L, Papathomas D, Johnson JM, Chicoine RE, Herschorn SD, Shepherd JA et al (2016) Relationship of terminal duct lobular unit involution of the breast with area and volume mammographic densities. Cancer Prev Res (Phila) 9(2):149\u2013158","journal-title":"Cancer Prev Res (Phila)"},{"key":"6049_CR47","doi-asserted-by":"publisher","DOI":"10.7326\/M14-1465","author":"K Kerlikowske","year":"2017","unstructured":"Kerlikowske K, Gard CC, Tice JA, Ziv E, Cummings SR, Miglioretti DL, Breast Cancer Surveillance Consortium (2017) Risk factors that increase risk of estrogen receptor-positive and -negative breast cancer. J Natl Cancer Inst. https:\/\/doi.org\/10.7326\/M14-1465","journal-title":"J Natl Cancer Inst"},{"issue":"10","key":"6049_CR48","doi-asserted-by":"crossref","first-page":"673","DOI":"10.7326\/M14-1465","volume":"162","author":"K Kerlikowske","year":"2015","unstructured":"Kerlikowske K, Zhu W, Tosteson AN, Sprague BL, Tice JA, Lehman CD, Miglioretti DL, Breast Cancer Surveillance Consortium (2015) Identifying women with dense breasts at high risk for interval cancer: a cohort study. Ann Intern Med 162(10):673\u2013681","journal-title":"Ann Intern Med"},{"issue":"1","key":"6049_CR49","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1186\/s13058-019-1129-9","volume":"21","author":"Y Shieh","year":"2019","unstructured":"Shieh Y, Scott CG, Jensen MR, Norman AD, Bertrand KA, Pankratz VS, Brandt KR, Visscher DW, Shepherd JA, Tamimi RM et al (2019) Body mass index, mammographic density, and breast cancer risk by estrogen receptor subtype. Breast Cancer Res 21(1):48","journal-title":"Breast Cancer Res"},{"issue":"1","key":"6049_CR50","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1214\/19-STS729","volume":"35","author":"AR Brentnall","year":"2020","unstructured":"Brentnall AR, Cuzick J (2020) Risk models for breast cancer and their validation. Stat Sci 35(1):14\u201330","journal-title":"Stat Sci"},{"issue":"28","key":"6049_CR51","doi-asserted-by":"crossref","first-page":"3137","DOI":"10.1200\/JCO.2015.60.8869","volume":"33","author":"JA Tice","year":"2015","unstructured":"Tice JA, Miglioretti DL, Li CS, Vachon CM, Gard CC, Kerlikowske K (2015) Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer. J Clin Oncol 33(28):3137\u20133143","journal-title":"J Clin Oncol"},{"issue":"9","key":"6049_CR52","doi-asserted-by":"crossref","first-page":"e180174","DOI":"10.1001\/jamaoncol.2018.0174","volume":"4","author":"AR Brentnall","year":"2018","unstructured":"Brentnall AR, Cuzick J, Buist DSM, Bowles EJA (2018) Long-term accuracy of breast cancer risk assessment combining classic risk factors and breast density. JAMA Oncol 4(9):e180174","journal-title":"JAMA Oncol"},{"issue":"8","key":"6049_CR53","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1038\/s41436-018-0406-9","volume":"21","author":"A Lee","year":"2019","unstructured":"Lee A, Mavaddat N, Wilcox AN, Cunningham AP, Carver T, Hartley S, Babb de Villiers C, Izquierdo A, Simard J, Schmidt MK et al (2019) BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genet Med 21(8):1708\u20131718","journal-title":"Genet Med"},{"issue":"2","key":"6049_CR54","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1148\/radiol.2016152062","volume":"282","author":"AM Jeffers","year":"2017","unstructured":"Jeffers AM, Sieh W, Lipson JA, Rothstein JH, McGuire V, Whittemore AS, Rubin DL (2017) Breast cancer risk and mammographic density assessed with semiautomated and fully automated methods and BI-RADS. Radiology 282(2):348\u2013355","journal-title":"Radiology"},{"issue":"5","key":"6049_CR55","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1186\/s13058-014-0439-1","volume":"16","author":"A Eng","year":"2014","unstructured":"Eng A, Gallant Z, Shepherd J, McCormack V, Li J, Dowsett M, Vinnicombe S, Allen S, dos-Santos-Silva I (2014) Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods. Breast Cancer Res 16(5):439","journal-title":"Breast Cancer Res"}],"container-title":["Breast Cancer Research and Treatment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10549-020-06049-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10549-020-06049-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10549-020-06049-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T04:15:37Z","timestamp":1670645737000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10549-020-06049-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,4]]},"references-count":55,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["6049"],"URL":"https:\/\/doi.org\/10.1007\/s10549-020-06049-8","relation":{},"ISSN":["0167-6806","1573-7217"],"issn-type":[{"value":"0167-6806","type":"print"},{"value":"1573-7217","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,4]]},"assertion":[{"value":"22 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional review board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"All participants provided either passive permission or informed consent for use of data.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}