Mammographic Variation Measures, Breast Density, and Breast Cancer Risk.
Mammographic Variation Measures, Breast Density, and Breast Cancer Risk.
复制标题
乳房X线图测量，乳腺癌密度和乳腺癌风险。
DOI：
10.2214/ajr.20.22794
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发表时间：
2021-08
期刊：
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我们之前的工作表明，来自乳房X光检查的代表乳房结构的变异测量与乳腺癌显著相关。出于复制的目的，我们在独立人群中检验了三种变异度量的相关性，即在图像域中测量的V和在傅立叶域中限制区域测量的p1和p1与乳腺癌风险的关系。我们还将这些测量方法与商业产品的体积密度测量方法、密度百分比和密度测量方法进行了比较。我们从筛查实践中检查了514例乳腺癌病例和1377名对照，年龄、种族、检查日期和乳房X光检查单位匹配。用Spearman的秩次相关来评价测量之间的单调关联性。根据年龄和体重指数进行调整后，使用条件Logistic回归对乳腺癌相关性进行评估。根据乳房X光摄影测量的标准差增加计算优势比。这些变异指标与体积百分比密度密切相关(相关系数为0.68至0.80)，但与密度无关(相关系数为0.31至0.48)。与以前的发现相似，所有的变异测量与乳腺癌显著相关[标准差优势比(95%可信区间)]：V为1.30(1.16，1.46)；P1为1.55(1.35，1.77)；p1为1.51(1.33，1.72)。体积密度测量与乳腺癌的相关性相似[百分比密度为1.54(1.33，1.78)；密集体积为1.34(1.20，1.50)]。当在同一模型中包括密度与每个变化度量时，所有度量都保留了显著性。这些变异指标与乳腺癌风险显著相关，与体积密度指标相当，但与密度无关。
Our previous work showed variation measures, representing breast architecture derived from mammograms, were significantly associated with breast cancer. For replication purposes, we examined the association of three variation measures, V measured in the image domain and P1 and p1 from restricted regions in the Fourier domain, with breast cancer risk in an independent population. We also compared these measures to volumetric density measures, percent density and dense volume, from a commercial product. We examined 514 breast cancer cases and 1377 controls from a screening practice, matched for age, race, exam date, and mammography unit. Spearman’s rank order correlation was used to evaluate the monotonic association between measures. Breast cancer associations were estimated using conditional logistic regression, adjusted for age and body mass index. Odds ratios were calculated per standard deviation increase in mammographic measure. These variation measures were strongly correlated with volumetric percent density (correlations 0.68 to 0.80) but not dense volume (correlations 0.31 to 0.48). Similar to previous findings, all variation measures were significantly associated with breast cancer [odds ratios per standard deviation (95% confidence intervals)]: 1.30 (1.16, 1.46) for V; 1.55 (1.35, 1.77) for P1; 1.51 (1.33, 1.72) for p1. Associations of volumetric density measures with breast cancer were similar [1.54 (1.33, 1.78) for percent density; 1.34 (1.20, 1.50) for dense volume]. When including dense volume with each variation measure in the same model, all measures retained significance. These variations measures were significantly associated with breast cancer risk, comparable to the volumetric density measures, but independent of the dense volume.