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荷兰乳腺癌筛查参与者不同出生队列的乳腺密度变化。

Change in mammographic density across birth cohorts of Dutch breast cancer screening participants.

机构信息

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Nykøbing Falster Hospital, University of Copenhagen, Copenhagen, Denmark.

出版信息

Int J Cancer. 2019 Dec 1;145(11):2954-2962. doi: 10.1002/ijc.32210. Epub 2019 Feb 27.

DOI:10.1002/ijc.32210
PMID:30762225
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6850337/
Abstract

High mammographic density is a well-known risk factor for breast cancer. This study aimed to search for a possible birth cohort effect on mammographic density, which might contribute to explain the increasing breast cancer incidence. We separately analyzed left and right breast density of Dutch women from a 13-year period (2003-2016) in the breast cancer screening programme. First, we analyzed age-specific changes in average percent dense volume (PDV) across birth cohorts. A linear regression analysis (PDV vs. year of birth) indicated a small but statistically significant increase in women of: 1) age 50 and born from 1952 to 1966 (left, slope = 0.04, p = 0.003; right, slope = 0.09, p < 0.0001); 2) age 55 and born from 1948 to 1961 (right, slope = 0.04, p = 0.01); and 3) age 70 and born from 1933 to 1946 (right, slope = 0.05, p = 0.002). A decrease of total breast volume seemed to explain the increase in PDV. Second, we compared proportion of women with dense breast in women born in 1946-1953 and 1959-1966, and observed a statistical significant increase of proportion of highly dense breast in later born women, in the 51 to 55 age-groups for the left breast (around a 20% increase in each age-group), and in the 50 to 56 age-groups for the right breast (increase ranging from 27% to 48%). The study indicated a slight increase in mammography density across birth cohorts, most pronounced for women in their early 50s, and more marked for the right than for the left breast.

摘要

高乳房密度是乳腺癌的一个已知危险因素。本研究旨在寻找乳房密度可能存在的出生队列效应,这可能有助于解释乳腺癌发病率的上升。我们分别分析了荷兰女性在乳腺癌筛查项目中 13 年(2003-2016 年)的左、右乳房密度。首先,我们分析了各出生队列中平均致密体积百分比(PDV)的年龄特异性变化。PDV 与出生年份的线性回归分析表明,年龄为 50 岁且出生于 1952 年至 1966 年的女性(左乳斜率=0.04,p=0.003;右乳斜率=0.09,p<0.0001);年龄为 55 岁且出生于 1948 年至 1961 年的女性(右乳斜率=0.04,p=0.01);以及年龄为 70 岁且出生于 1933 年至 1946 年的女性(右乳斜率=0.05,p=0.002),PDV 略有增加。总乳房体积的减少似乎解释了 PDV 的增加。其次,我们比较了出生于 1946-1953 年和 1959-1966 年的女性中致密乳房的比例,发现较晚出生的女性中高度致密乳房的比例有统计学意义的增加,在左乳的 51 至 55 岁年龄组(每个年龄组增加约 20%),以及右乳的 50 至 56 岁年龄组(增加范围从 27%到 48%)。该研究表明,乳房密度在出生队列中略有增加,在 50 岁出头的女性中最为明显,右乳比左乳更为明显。

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本文引用的文献

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Association between mammographic density and pregnancies relative to age and BMI: a breast cancer case-only analysis.乳腺密度与年龄和 BMI 相关的妊娠次数的关系:一项乳腺癌病例对照分析。
Breast Cancer Res Treat. 2017 Dec;166(3):701-708. doi: 10.1007/s10549-017-4446-7. Epub 2017 Aug 21.
2
Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide.乳腺X线密度与衰老:来自全球22个国家横断面数据的联合汇总分析。
PLoS Med. 2017 Jun 30;14(6):e1002335. doi: 10.1371/journal.pmed.1002335. eCollection 2017 Jun.
3
Comparing Visually Assessed BI-RADS Breast Density and Automated Volumetric Breast Density Software: A Cross-Sectional Study in a Breast Cancer Screening Setting.
视觉评估的乳腺影像报告和数据系统(BI-RADS)乳房密度与自动容积乳房密度软件的比较:乳腺癌筛查环境中的横断面研究
PLoS One. 2015 Sep 3;10(9):e0136667. doi: 10.1371/journal.pone.0136667. eCollection 2015.
4
Comparison of mammographic density estimation by Volpara software with radiologists' visual assessment: analysis of clinical-radiologic factors affecting discrepancy between them.Volpara软件对乳腺X线密度的估计与放射科医生视觉评估的比较:影响两者差异的临床放射学因素分析
Acta Radiol. 2015 Sep;56(9):1061-8. doi: 10.1177/0284185114554674. Epub 2014 Oct 22.
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Mammographic density-a review on the current understanding of its association with breast cancer.乳腺钼靶密度——关于其与乳腺癌关联的当前认识综述
Breast Cancer Res Treat. 2014 Apr;144(3):479-502. doi: 10.1007/s10549-014-2901-2. Epub 2014 Mar 11.
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Volumetric breast density estimation from full-field digital mammograms: a validation study.基于全视野数字化乳腺X线摄影的乳腺体积密度估计:一项验证研究。
PLoS One. 2014 Jan 21;9(1):e85952. doi: 10.1371/journal.pone.0085952. eCollection 2014.
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