Department of Gynecolgoy and Obstetrics, University Breast Center Franconia, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Eur J Cancer Prev. 2012 Jul;21(4):343-9. doi: 10.1097/CEJ.0b013e32834e3214.
The aim of our study involved the assessment of B-mode imaging and elastography with regard to their ability to predict mammographic density (MD) without X-rays. Women, who underwent routine mammography, were prospectively examined with additional B-mode ultrasound and elastography. MD was assessed quantitatively with a computer-assisted method (Madena). The B-mode and elastography images were assessed by histograms with equally sized gray-level intervals. Regression models were built and cross validated to examine the ability to predict MD. The results of this study showed that B-mode imaging and elastography were able to predict MD. B-mode seemed to give a more accurate prediction. R for B-mode image and elastography were 0.67 and 0.44, respectively. Areas in the B-mode images that correlated with mammographic dense areas were either dark gray or of intermediate gray levels. Concerning elastography only the gray levels that represent extremely stiff tissue correlated positively with MD. In conclusion, ultrasound seems to be able to predict MD. Easy and cheap utilization of regular breast ultrasound machines encourages the use of ultrasound in larger case-control studies to validate this method as a breast cancer risk predictor. Furthermore, the application of ultrasound for breast tissue characterization could enable comprehensive research concerning breast cancer risk and breast density in young and pregnant women.
我们的研究目的是评估 B 型超声成像和弹性成像在不进行 X 射线的情况下预测乳腺密度(MD)的能力。对接受常规乳房 X 光检查的女性进行前瞻性检查,同时进行额外的 B 型超声和弹性成像检查。采用计算机辅助方法(Madena)对 MD 进行定量评估。B 型和弹性成像图像通过具有相同大小灰度级间隔的直方图进行评估。建立回归模型并进行交叉验证,以检查预测 MD 的能力。这项研究的结果表明,B 型超声成像和弹性成像能够预测 MD。B 型超声似乎能够更准确地进行预测。B 型超声图像和弹性成像的 R 值分别为 0.67 和 0.44。与乳腺致密区相关的 B 型超声图像区域呈深灰色或中等灰度。关于弹性成像,只有代表极硬组织的灰度与 MD 呈正相关。总之,超声似乎能够预测 MD。常规乳房超声机的使用简单且成本低廉,这鼓励在更大的病例对照研究中使用超声来验证该方法作为乳腺癌风险预测因子。此外,超声在乳腺组织特征描述中的应用可以使我们能够对年轻和孕妇的乳腺癌风险和乳腺密度进行全面研究。