Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Cancer Epidemiol Biomarkers Prev. 2010 Feb;19(2):418-28. doi: 10.1158/1055-9965.EPI-09-1059.
Mammographic density is a strong risk factor for breast cancer, usually measured by an area-based threshold method that dichotomizes the breast area on a mammogram into dense and nondense regions. Volumetric methods of breast density measurement, such as the fully automated standard mammogram form (SMF) method that estimates the volume of dense and total breast tissue, may provide a more accurate density measurement and improve risk prediction.
In 2000-2003, a case-control study was conducted of 367 newly confirmed breast cancer cases and 661 age-matched breast cancer-free controls who underwent screen-film mammography at several centers in Toronto, Canada. Conditional logistic regression was used to estimate odds ratios of breast cancer associated with categories of mammographic density, measured with both the threshold and the SMF (version 2.2beta) methods, adjusting for breast cancer risk factors.
Median percent density was higher in cases than in controls for the threshold method (31% versus 27%) but not for the SMF method. Higher correlations were observed between SMF and threshold measurements for breast volume/area (Spearman correlation coefficient = 0.95) than for percent density (0.68) or for absolute density (0.36). After adjustment for breast cancer risk factors, odds ratios of breast cancer in the highest compared with the lowest quintile of percent density were 2.19 (95% confidence interval, 1.28-3.72; P(t) <0.01) for the threshold method and 1.27 (95% confidence interval, 0.79-2.04; Pt = 0.32) for the SMF method.
Threshold percent density is a stronger predictor of breast cancer risk than the SMF version 2.2beta method in digitized images.
乳腺密度是乳腺癌的一个重要危险因素,通常通过基于面积的阈值方法来测量,该方法将乳腺 X 光片中的乳腺区域分为致密区和非致密区。乳腺密度的容积测量方法,如全自动标准乳腺 X 光片格式(SMF)方法,可估计致密和总乳腺组织的体积,可能提供更准确的密度测量并改善风险预测。
2000-2003 年,在加拿大多伦多的几个中心进行了一项病例对照研究,纳入了 367 例新确诊的乳腺癌病例和 661 例年龄匹配的乳腺癌无病对照者,这些人都接受了屏-片乳腺 X 光摄影。使用条件逻辑回归来估计与乳腺密度类别相关的乳腺癌比值比,该密度类别是使用阈值和 SMF(版本 2.2beta)方法测量的,并调整了乳腺癌危险因素。
阈值方法中,病例组的中位数百分比密度高于对照组(31%比 27%),但 SMF 方法并非如此。SMF 与阈值测量之间的相关性更高,用于乳腺体积/面积的相关性(Spearman 相关系数=0.95)高于用于百分比密度(0.68)或绝对密度(0.36)。调整乳腺癌危险因素后,最高五分位数与最低五分位数相比,阈值方法的乳腺癌比值比为 2.19(95%置信区间,1.28-3.72;P(t)<0.01),SMF 方法的比值比为 1.27(95%置信区间,0.79-2.04;Pt=0.32)。
在数字化图像中,阈值百分比密度是乳腺癌风险的更强预测因子,优于 SMF 版本 2.2beta 方法。