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Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience

机译:双边乳房体积不对称性筛查作为患者潜在标志物的乳房X光照片:初步经验。

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The biological concept of bilateral symmetry as a marker of developmental stability and good health is well established. Although most individuals deviate slightly from perfect symmetry, humans are essentially considered bilaterally symmetrical. Studies have shown that if an individual is exposed to genetic mutations or environmental stresses, the homeostatic mechanisms that maintain symmetry of paired structures (such as breasts) tend to break down. Consequently, increased fluctuating asymmetry of paired structures could be an indicator of poor health. This preliminary study tested if bilateral morphological breast asymmetry in screening mammograms correlates with the presence of breast cancer. Following the biological definition of breast asymmetry in terms of volume, we applied automated computer algorithms for screening mammograms that segment the breast region and then measure each segmented breast''s volume. These parameters were measured separately for each breast in each mammographic view (CC and MLO). Then, the normalized absolute differences of these parameters were investigated as measurements of fluctuating asymmetry (FA). Based on 268 cancer cases and 82 normal cases from the DDSM database, we observed that cancer patients demonstrate statistically significantly higher fluctuating asymmetry in their screening mammograms than patients with normal screening studies. Using an artificial neural network to combine FA measurements from both views along with the patient''s age and breast parenchymal density resulted in an ROC area of 0.80卤0.03. These results suggest that bilateral breast volume asymmetry estimated in screening mammograms should be studied as a risk factor for breast cancer.
机译:双边对称性是发展稳定和健康的标志的生物学概念已得到很好的确立。尽管大多数人都与完全对称略有偏离,但从本质上讲,人类被认为是双边对称的。研究表明,如果一个人暴露于遗传突变或环境压力下,维持配对结构(如乳房)对称的稳态机制往往会崩溃。因此,成对结构波动的不对称性增加可能表明健康状况不佳。这项初步研究测试了在筛查乳房X光照片时双边形态上的乳房不对称是否与乳腺癌的存在相关。根据乳房不对称的生物学定义(体积),我们应用了自动计算机算法来筛选对乳房区域进行分割的乳房X线照片,然后测量每个分割后的乳房体积。这些参数是在每个乳房X光检查(CC和MLO)中分别测量每个乳房的。然后,研究这些参数的归一化绝对差作为波动不对称性(FA)的测量值。根据DDSM数据库中的268例癌症病例和82例正常病例,我们观察到,与常规筛查研究相比,癌症患者的筛查X线照片显示出统计学上显着更高的波动不对称性。使用人工神经网络将两种角度的FA测量值与患者的年龄和乳房实质密度结合起来,得出ROC面积为0.80±0.03。这些结果表明,应将筛查乳房X光照片中估计的双侧乳房体积不对称性作为乳腺癌的危险因素进行研究。

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