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首页> 外文期刊>Breast Cancer Research >Comparison of percent density from raw and processed full-field digital mammography data
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Comparison of percent density from raw and processed full-field digital mammography data

机译：从原始和处理的全场数字乳房X线照片数据比较密度百分比

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IntroductionMammographic density has been established as a strong risk factor for breast cancer, primarily using digitized film mammograms. Full-field digital mammography (FFDM) is replacing film mammography, has different properties than film, and provides both raw and processed clinical display representation images. We evaluated and compared FFDM raw and processed breast density measures and their associations with breast cancer.MethodsA case-control study of 180 cases and 180 controls matched by age, postmenopausal hormone use, and screening history was conducted. Mammograms were acquired from a General Electric Senographe 2000D FFDM unit. Percent density (PD) was assessed for each FFDM representation using the operator-assisted Cumulus method. Reproducibility within image type (n = 80) was assessed using Lin's concordance correlation coefficient (rc). Correlation of PD between image representations (n = 360) was evaluated using Pearson's correlation coefficient (r) on the continuous measures and the weighted kappa statistic (κ) for quartiles. Conditional logistic regression was used to estimate odds ratios (ORs) for the PD and breast cancer associations for both image representations with 95% confidence intervals. The area under the receiver operating characteristic curve (AUC) was used to assess the discriminatory accuracy.ResultsPercent density from the two representations provided similar intra-reader reproducibility (rc= 0.92 for raw and rc= 0.87 for processed images) and was correlated (r = 0.82 and κ = 0.64). When controlling for body mass index, the associations of quartiles of PD with breast cancer and discriminatory accuracy were similar for the raw (OR: 1.0 (ref.), 2.6 (1.2 to 5.4), 3.1 (1.4 to 6.8), 4.7 (2.1 to 10.6); AUC = 0.63) and processed representations (OR: 1.0 (ref.), 2.2 (1.1 to 4.1), 2.2 (1.1 to 4.4), 3.1 (1.5 to 6.6); AUC = 0.64).ConclusionsPercent density measured with an operator-assisted method from raw and processed FFDM images is reproducible and correlated. Both percent density measures provide similar associations with breast cancer.
机译：简介乳腺X线照片密度已被确定为乳腺癌的重要危险因素，主要是使用数字化胶片X线乳房X线照片。全场数字化乳腺摄影（FFDM）替代了胶片乳腺摄影，具有与胶片不同的特性，并提供原始和已处理的临床显示表示图像。我们评估并比较了FFDM原始和加工后的乳房密度测量值及其与乳腺癌的关联性。方法进行了一项180例和180例对照的病例对照研究，研究对象是年龄，绝经后激素使用情况和筛查史。乳房X光照片是从General Electric Senographe 2000D FFDM装置获得的。使用操作员辅助Cumulus方法评估每个FFDM表示的百分比密度（PD）。使用Lin的一致性相关系数（rc）评估图像类型（n = 80）内的可重复性。使用连续测量的Pearson相关系数（r）和四分位数的加权kappa统计量（κ）评估图像表示之间的PD相关性（n = 360）。条件对数回归用于估计具有95％置信区间的两个图像表示的PD和乳腺癌关联的比值比（OR）。接收器工作特性曲线（AUC）下的面积用于评估判别精度。结果两种表示形式的百分比密度提供了相似的读取器内部重现性（原始图像的rc = 0.92，处理后图像的rc = 0.87）。 = 0.82和κ= 0.64）。在控制体重指数时，原始数据与PD的四分位数与乳腺癌和歧视性准确性的关联相似（OR：1.0（参考），2.6（1.2至5.4），3.1（1.4至6.8），4.7（2.1）至10.6），AUC = 0.63）和处理过的表示形式（OR：1.0（ref。），2.2（1.1至4.1），2.2（1.1至4.4），3.1（1.5至6.6）; AUC = 0.64）。来自原始和已处理FFDM图像的操作员辅助方法是可重现和相关的。两种密度百分比测量值均与乳腺癌相关。

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