Trajectories of breast density change over time and subsequent breast cancer risk: longitudinal study

The BMJ Pub Date : 2024-12-30 DOI:10.1136/bmj-2024-079575
Boyoung Park, Yoosoo Chang, Seungho Ryu, Thi Xuan Mai Tran
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Abstract

Objective To identify clusters of women with similar trajectories of breast density change over four longitudinal assessments and to examine the association between these trajectories and the subsequent risk of breast cancer. Design Retrospective cohort study. Setting Data from the national breast cancer screening programme, which is embedded in the National Health Insurance Service database in Korea. Breast density was assessed using the four category Breast Imaging Reporting and Data System (BI-RADS) classification. Group based trajectory modelling was performed to identify the trajectories of breast density. Participants Women aged ≥40 years who underwent four biennial mammographic screenings between 2009 and 2016. Main outcome measures Breast cancer development was determined to 31 December 2021. Cox proportional hazard models were used to assess the associations between trajectories and breast cancer outcomes after adjusting for covariates. Results Among a cohort of 1 747 507 women (mean age 61.4 years), five breast density trajectory groups were identified. Group 1 included women with persistently fatty breast tissue, group 2 included women with fatty breast tissue at baseline but increased breast density over time, and groups 3-5 included women with denser breasts, with a slight decrease in density over time. Women in group 2 had a 1.60-fold (95% confidence interval 1.49 to 1.72) increased risk of breast cancer compared with those in group 1. Women in groups 3-5 had higher risks compared with those in group 1, with adjusted hazard ratios of 1.86 (1.74 to 1.98), 2.49 (2.33 to 2.65), and 3.07 (2.87 to 3.28), respectively. Similar results were observed across different age groups, regardless of changes in menopausal status or body mass index. Conclusions This study identified five distinct groups of women with similar trajectories of breast density change over time. Future risk of breast cancer was found to vary in these groups. Increasingly dense or persistently dense breasts were associated with a higher risk. Changes in breast density over time should be carefully considered during breast cancer risk stratification and incorporated into future risk models. Data supporting the findings of this study are provided by the National Health Insurance Sharing Service website () through a data use agreement. We accessed the database after submitting the study protocol and IRB approval document and reviewed the request form provided by the committee. Additional information is available from the corresponding author upon request. The analytic SAS codes are available from the corresponding author and can also be found in supporting materials (SAS codes supplemental material).
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乳房密度随时间变化的轨迹与后续乳腺癌风险:纵向研究
目的通过四次纵向评估,确定具有相似乳腺密度变化轨迹的女性群体,并研究这些轨迹与随后的乳腺癌风险之间的关系。设计回顾性队列研究。来自国家乳腺癌筛查方案的数据,该方案已嵌入韩国国民健康保险服务数据库。乳腺密度采用乳腺成像报告和数据系统(BI-RADS)四类分类进行评估。采用基于组的轨迹建模来识别乳腺密度的轨迹。参与者年龄≥40岁的女性,在2009年至2016年期间接受了4次两年一次的乳房x光检查。主要结局指标确定至2021年12月31日乳腺癌发展情况。在调整协变量后,使用Cox比例风险模型来评估轨迹与乳腺癌结局之间的关联。结果在1 747 507名女性(平均年龄61.4岁)队列中,确定了5个乳腺密度轨迹组。第1组包括持续存在脂肪性乳房组织的女性,第2组包括基线时存在脂肪性乳房组织但随着时间的推移乳房密度增加的女性,第3-5组包括乳房密度较大的女性,随着时间的推移乳房密度略有下降。与第一组相比,第二组妇女患乳腺癌的风险增加了1.60倍(95%可信区间为1.49至1.72)。3-5组女性的风险高于1组,调整后的风险比分别为1.86(1.74 ~ 1.98)、2.49(2.33 ~ 2.65)和3.07(2.87 ~ 3.28)。在不同的年龄组中观察到类似的结果,而不考虑绝经状态或体重指数的变化。结论:本研究确定了五组不同的女性,她们的乳腺密度随时间的变化轨迹相似。研究发现,这些人群未来患乳腺癌的风险各不相同。乳房越来越致密或持续致密与更高的风险相关。在乳腺癌风险分层中应仔细考虑乳腺密度随时间的变化,并将其纳入未来的风险模型。支持本研究结果的数据由国民健康保险共享服务网站()通过数据使用协议提供。我们在提交研究方案和IRB批准文件后进入数据库,并审查了委员会提供的申请表。其他信息可根据要求从通讯作者处获得。分析SAS代码可从通讯作者处获得,也可在辅助材料(SAS代码补充材料)中找到。
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