Breast density and risk of breast cancer

Research output: Contribution to journalJournal articleResearchpeer-review

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Breast density and risk of breast cancer. / Lynge, Elsebeth; Vejborg, Ilse; Lillholm, Martin; Nielsen, Mads; Napolitano, George; von Euler-Chelpin, My.

In: International Journal of Cancer, Vol. 152, No. 6, 2023, p. 1150-1158.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Lynge, E, Vejborg, I, Lillholm, M, Nielsen, M, Napolitano, G & von Euler-Chelpin, M 2023, 'Breast density and risk of breast cancer', International Journal of Cancer, vol. 152, no. 6, pp. 1150-1158. https://doi.org/10.1002/ijc.34316

APA

Lynge, E., Vejborg, I., Lillholm, M., Nielsen, M., Napolitano, G., & von Euler-Chelpin, M. (2023). Breast density and risk of breast cancer. International Journal of Cancer, 152(6), 1150-1158. https://doi.org/10.1002/ijc.34316

Vancouver

Lynge E, Vejborg I, Lillholm M, Nielsen M, Napolitano G, von Euler-Chelpin M. Breast density and risk of breast cancer. International Journal of Cancer. 2023;152(6):1150-1158. https://doi.org/10.1002/ijc.34316

Author

Lynge, Elsebeth ; Vejborg, Ilse ; Lillholm, Martin ; Nielsen, Mads ; Napolitano, George ; von Euler-Chelpin, My. / Breast density and risk of breast cancer. In: International Journal of Cancer. 2023 ; Vol. 152, No. 6. pp. 1150-1158.

Bibtex

@article{23b984804d984b5fad56b21f7f2ef68f,
title = "Breast density and risk of breast cancer",
abstract = "Early studies reported a 4- to 6-fold risk of breast cancer between women with extremely dense and fatty breasts. As most early studies were case-control studies, we took advantage of a population-based screening program to study density and breast cancer incidence in a cohort design. In the Capital Region, Denmark, women aged 50 to 69 are invited to screening biennially. Women screened November 2012 to December 2017 were included, and classified by BI-RADS density code, version 4, at first screen after recruitment. Women were followed up for incident breast cancer, including ductal carcinoma in situ (DCIS), to 2020 in nationwide pathology data. Rate ratios (RRs) and 95% confidence intervals (CI) were compared across density groups using Poisson-regression. We included 189 609 women; 1 067 282 person-years; and 4110 incident breast cancers/DCIS. Thirty-three percent of women had BI-RADS density code 1; 38% code 2; 24% code 3; 4.7% code 4; and missing 0.3%. Using women with BI-RADS density code 1 as baseline; women with code 2 had RR 1.69 (95% CI 1.56-1.84); women with code 3, RR 2.06 (95% CI 1.89-2.25); and women with code 4, RR 2.37 (95% CI 1.05-2.74). Results differed between observations accumulated during screening and above screening age. Our results indicated less difference in breast cancer risk across level of breast density than normally stated. Translated into absolute risk of breast cancer after age 50, we found a 6.2% risk for the one-third of women with lowest density, and 14.7% for the 5% of women with highest density.",
author = "Elsebeth Lynge and Ilse Vejborg and Martin Lillholm and Mads Nielsen and George Napolitano and {von Euler-Chelpin}, My",
note = "{\textcopyright} 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.",
year = "2023",
doi = "10.1002/ijc.34316",
language = "English",
volume = "152",
pages = "1150--1158",
journal = "Acta - Unio Internationalis Contra Cancrum",
issn = "0898-6924",
publisher = "JohnWiley & Sons, Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Breast density and risk of breast cancer

AU - Lynge, Elsebeth

AU - Vejborg, Ilse

AU - Lillholm, Martin

AU - Nielsen, Mads

AU - Napolitano, George

AU - von Euler-Chelpin, My

N1 - © 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

PY - 2023

Y1 - 2023

N2 - Early studies reported a 4- to 6-fold risk of breast cancer between women with extremely dense and fatty breasts. As most early studies were case-control studies, we took advantage of a population-based screening program to study density and breast cancer incidence in a cohort design. In the Capital Region, Denmark, women aged 50 to 69 are invited to screening biennially. Women screened November 2012 to December 2017 were included, and classified by BI-RADS density code, version 4, at first screen after recruitment. Women were followed up for incident breast cancer, including ductal carcinoma in situ (DCIS), to 2020 in nationwide pathology data. Rate ratios (RRs) and 95% confidence intervals (CI) were compared across density groups using Poisson-regression. We included 189 609 women; 1 067 282 person-years; and 4110 incident breast cancers/DCIS. Thirty-three percent of women had BI-RADS density code 1; 38% code 2; 24% code 3; 4.7% code 4; and missing 0.3%. Using women with BI-RADS density code 1 as baseline; women with code 2 had RR 1.69 (95% CI 1.56-1.84); women with code 3, RR 2.06 (95% CI 1.89-2.25); and women with code 4, RR 2.37 (95% CI 1.05-2.74). Results differed between observations accumulated during screening and above screening age. Our results indicated less difference in breast cancer risk across level of breast density than normally stated. Translated into absolute risk of breast cancer after age 50, we found a 6.2% risk for the one-third of women with lowest density, and 14.7% for the 5% of women with highest density.

AB - Early studies reported a 4- to 6-fold risk of breast cancer between women with extremely dense and fatty breasts. As most early studies were case-control studies, we took advantage of a population-based screening program to study density and breast cancer incidence in a cohort design. In the Capital Region, Denmark, women aged 50 to 69 are invited to screening biennially. Women screened November 2012 to December 2017 were included, and classified by BI-RADS density code, version 4, at first screen after recruitment. Women were followed up for incident breast cancer, including ductal carcinoma in situ (DCIS), to 2020 in nationwide pathology data. Rate ratios (RRs) and 95% confidence intervals (CI) were compared across density groups using Poisson-regression. We included 189 609 women; 1 067 282 person-years; and 4110 incident breast cancers/DCIS. Thirty-three percent of women had BI-RADS density code 1; 38% code 2; 24% code 3; 4.7% code 4; and missing 0.3%. Using women with BI-RADS density code 1 as baseline; women with code 2 had RR 1.69 (95% CI 1.56-1.84); women with code 3, RR 2.06 (95% CI 1.89-2.25); and women with code 4, RR 2.37 (95% CI 1.05-2.74). Results differed between observations accumulated during screening and above screening age. Our results indicated less difference in breast cancer risk across level of breast density than normally stated. Translated into absolute risk of breast cancer after age 50, we found a 6.2% risk for the one-third of women with lowest density, and 14.7% for the 5% of women with highest density.

U2 - 10.1002/ijc.34316

DO - 10.1002/ijc.34316

M3 - Journal article

C2 - 36214783

VL - 152

SP - 1150

EP - 1158

JO - Acta - Unio Internationalis Contra Cancrum

JF - Acta - Unio Internationalis Contra Cancrum

SN - 0898-6924

IS - 6

ER -

ID: 323845750