Mammographic density as a predictor of invasive breast cancer and ductal carcinoma in situ in over six million South Korean women.
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| Title: | Mammographic density as a predictor of invasive breast cancer and ductal carcinoma in situ in over six million South Korean women. |
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| Authors: | Kim SH; Department of Radiology, Seoul St. Mary'S Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Park GE; Department of Radiology, Seoul St. Mary'S Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Bertrand KA; Slone Epidemiology Center at, Boston University, Boston, MA, USA.; Department of Medicine, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA., Sandler DP; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, USA., Han K; Department of Statistics and Actuarial Science, Soongsil University, 369 Sangdo-Ro, Dongjak-Gu, Seoul, 06978, Republic of Korea. hkd917@naver.com., Park YM; Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W. Markham St, Little Rock, AR, USA. ypark@uams.edu.; Cancer Prevention and Population Sciences Research Program, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, 4301 W. Markham St, Little Rock, AR, USA. ypark@uams.edu. |
| Source: | Breast cancer research and treatment [Breast Cancer Res Treat] 2025 Jun; Vol. 211 (2), pp. 341-350. Date of Electronic Publication: 2025 Feb 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 8111104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7217 (Electronic) Linking ISSN: 01676806 NLM ISO Abbreviation: Breast Cancer Res Treat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1573-7217 |
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| DOI: | 10.1007/s10549-025-07648-z |
