Park Boyoung, Chang Yoosoo, Ryu Seungho, Tran Thi Xuan Mai
Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea.
BMJ. 2024 Dec 30;387:e079575. doi: 10.1136/bmj-2024-079575.
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.
Retrospective cohort study.
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.
Women aged ≥40 years who underwent four biennial mammographic screenings between 2009 and 2016.
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.
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.
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.
确定在四次纵向评估中乳腺密度变化轨迹相似的女性群体,并研究这些轨迹与随后患乳腺癌风险之间的关联。
回顾性队列研究。
数据来自韩国国家健康保险服务数据库中的国家乳腺癌筛查项目。使用四类乳腺影像报告和数据系统(BI-RADS)分类评估乳腺密度。进行基于组的轨迹建模以确定乳腺密度轨迹。
2009年至2016年间接受了四次两年一次乳房X线筛查的40岁及以上女性。
至2021年12月31日确定乳腺癌发病情况。使用Cox比例风险模型在调整协变量后评估轨迹与乳腺癌结局之间的关联。
在1747507名女性队列(平均年龄61.4岁)中,确定了五个乳腺密度轨迹组。第1组包括乳腺组织持续为脂肪型的女性,第2组包括基线时乳腺组织为脂肪型但随时间乳腺密度增加的女性,第3 - 5组包括乳腺密度较高且随时间密度略有下降的女性。与第1组女性相比,第2组女性患乳腺癌的风险增加了1.60倍(95%置信区间1.49至1.72)。与第1组女性相比,第3 - 5组女性的风险更高,调整后的风险比分别为1.86(1.74至1.98)、2.49(2.33至2.65)和3.07(2.87至3.28)。在不同年龄组中观察到了类似结果,无论绝经状态或体重指数如何变化。
本研究确定了五组随时间乳腺密度变化轨迹相似的不同女性群体。发现这些群体未来患乳腺癌的风险各不相同。乳腺密度越来越高或持续较高与更高风险相关。在乳腺癌风险分层过程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。