Cancer Epidemiology Department, Moffitt Cancer Center & Research Institute, 12902 Bruce B. Downs Blvd, Tampa, FL 33612, United States of America.
Phys Med Biol. 2018 Dec 19;64(1):015006. doi: 10.1088/1361-6560/aaf307.
Mammograms represent data that can inform future risk of breast cancer. Data from two case-control study populations were analyzed. Population 1 included women (N = 180 age matched case-control pairs) with mammograms acquired with one indirect x-ray conversion mammography unit. Population 2 included women (N = 319 age matched case-control pairs) with mammograms acquired from 6 direct x-ray conversion units. The Fourier domain was decomposed into n concentric rings (radial spatial frequency bands). The power in each ring was summarized giving a set of measures. We investigated images in raw, for presentation (processed) and calibrated representations and made comparison with the percentage of breast density (BD) determined with the operator assisted Cumulus method. Breast cancer associations were evaluated with conditional logistic regression, adjusted for body mass index and ethnicity. Odds ratios (ORs), per standard deviation increase derived from the respective breast density distributions and 95% confidence intervals (CIs) were estimated. A measure from a lower radial frequency ring, corresponding 0.083-0.166 cycles mm and BD had significant associations with risk in both populations. In Population 1, the Fourier measure produced significant associations in each representation: OR = 1.76 (1.33, 2.32) for raw; OR = 1.43 (1.09, 1.87) for processed; and OR = 1.68 (1.26, 2.25) for calibrated. BD also provided significant associations in Population 1: OR = 1.72 (1.27, 2.33). In Population 2, the Fourier measure produced significant associations for each representation as well: OR = 1.47 (1.19, 1.80) for raw; OR = 1.38 (1.15, 1.67) for processed; and OR = 1.42 (1.15, 1.75) for calibrated. BD provided significant associations in Population 2: OR = 1.43 (1.17, 1.76). Other coincident spectral regions were also predictive of case-control status. In sum, generalized breast density measures were significantly associated with breast cancer in both FFDM technologies.
乳腺 X 光片代表了可以预测未来乳腺癌风险的数据。对两个病例对照研究人群的数据进行了分析。人群 1 包括使用一台间接 X 射线转换乳腺摄影设备获得乳腺 X 光片的 180 对年龄匹配的病例对照妇女（N=180 对）。人群 2 包括使用 6 台直接 X 射线转换设备获得乳腺 X 光片的 319 对年龄匹配的病例对照妇女（N=319 对）。傅里叶域被分解为 n 个同心环（径向空间频率带）。对每个环的功率进行了总结，给出了一组测量值。我们研究了原始图像、用于呈现（处理）的图像和校准表示的图像，并与操作员辅助 Cumulus 方法确定的乳腺密度（BD）百分比进行了比较。使用条件逻辑回归评估乳腺癌相关性，调整了体重指数和种族。估计了从各自的乳腺密度分布中获得的每标准偏差增加的比值比（OR）和 95%置信区间（CI）。来自较低径向频率环（对应 0.083-0.166 个周期 mm 和 BD）的测量值与两个群体的风险均有显著关联。在人群 1 中，傅里叶测量值在每种表示形式中均产生显著关联：原始图像的 OR=1.76（1.33，2.32）；处理图像的 OR=1.43（1.09，1.87）；校准图像的 OR=1.68（1.26，2.25）。BD 在人群 1 中也有显著关联：OR=1.72（1.27，2.33）。在人群 2 中，傅里叶测量值在每种表示形式中也产生了显著关联：原始图像的 OR=1.47（1.19，1.80）；处理图像的 OR=1.38（1.15，1.67）；校准图像的 OR=1.42（1.15，1.75）。BD 在人群 2 中也有显著关联：OR=1.43（1.17，1.76）。其他重合的光谱区域也与病例对照状态相关。总之，广义乳腺密度测量值与两种 FFDM 技术的乳腺癌显著相关。
