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生殖因素与乳腺 X 线摄影密度:24840 名女性的相关性研究及数字化屏片乳腺摄影与全数字化乳腺摄影研究的比较

Reproductive Factors and Mammographic Density: Associations Among 24,840 Women and Comparison of Studies Using Digitized Film-Screen Mammography and Full-Field Digital Mammography.

机构信息

Division of Research, Kaiser Permanente Northern California, Oakland, California.

Optum360, UnitedHealth Group, Inc., Las Vegas, Nevada.

出版信息

Am J Epidemiol. 2019 Jun 1;188(6):1144-1154. doi: 10.1093/aje/kwz033.

Abstract

Breast density is a modifiable factor that is strongly associated with breast cancer risk. We sought to understand the influence of newer technologies of full-field digital mammography (FFDM) on breast density research and to determine whether results are comparable across studies using FFDM and previous studies using traditional film-screen mammography. We studied 24,840 screening-age (40-74 years) non-Hispanic white women who were participants in the Research Program on Genes, Environment and Health of Kaiser Permanente Northern California and underwent screening mammography with either Hologic (Hologic, Inc., Marlborough, Massachusetts) or General Electric (General Electric Company, Boston, Massachusetts) FFDM machines between 2003 and 2013. We estimated the associations of parity, age at first birth, age at menarche, and menopausal status with percent density and dense area as measured by a single radiological technologist using Cumulus software (Canto Software, Inc., San Francisco, California). We found that associations between reproductive factors and mammographic density measured using processed FFDM images were generally similar in magnitude and direction to those from prior studies using film mammography. Estimated associations for both types of FFDM machines were in the same direction. There was some evidence of heterogeneity in the magnitude of the effect sizes by machine type, which we accounted for using random-effects meta-analysis when combining results. Our findings demonstrate the robustness of quantitative mammographic density measurements across FFDM and film mammography platforms.

摘要

乳房密度是一个可改变的因素,与乳腺癌风险密切相关。我们试图了解全数字化乳腺摄影术(FFDM)新技术对乳房密度研究的影响,并确定使用 FFDM 的研究结果是否与使用传统胶片乳腺摄影术的先前研究结果具有可比性。我们研究了 24840 名处于筛查年龄(40-74 岁)的非西班牙裔白人女性,她们是 Kaiser Permanente 北加利福尼亚基因、环境与健康研究计划的参与者,并在 2003 年至 2013 年间接受了 Hologic(马萨诸塞州马尔伯勒的 Hologic,Inc.)或通用电气(波士顿的通用电气公司)FFDM 机器进行筛查性乳房 X 光检查。我们使用 Cumulus 软件(加利福尼亚州旧金山的 Canto Software,Inc.)由单一放射技术人员评估了生育史、首次生育年龄、初潮年龄和绝经状态与使用 Cumulus 软件(加利福尼亚州旧金山的 Canto Software,Inc.)评估的百分比密度和致密区域之间的关联。我们发现,使用处理后的 FFDM 图像测量的生殖因素与乳房 X 光密度之间的关联在数量和方向上与使用胶片乳房 X 光的先前研究相似。两种 FFDM 机器的估计关联方向相同。在机器类型方面,效应大小的幅度存在一定程度的异质性,当我们在组合结果时使用随机效应荟萃分析来考虑这种异质性。我们的研究结果表明,定量乳房 X 光密度测量在 FFDM 和胶片乳房 X 光摄影平台上具有稳健性。

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