采用动态对比增强磁共振成像评估乳腺导管原位癌（DCIS）和乳腺病的时间-强度曲线。

Department of Medical Physics and Engineering, Division of Medical Technology and Science, Course of Health Science, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.

Magn Reson Imaging. 2011 Jan;29(1):99-105. doi: 10.1016/j.mri.2010.07.011. Epub 2010 Sep 15.

PURPOSE

The aim of this study was to retrospectively evaluate the ability of dynamic, contrast-enhanced magnetic resonance imaging (DCE-MRI) to differentiate between ductal carcinoma in situ (DCIS) and mastopathy by analyzing their signal intensities (SIs).

METHODS

After the pre-contrast MRI was performed using a 1.5-T MRI system, DCE-MRI was performed four times following intravenous administration of contrast medium. We set the volumes of interest (VOIs) on the tumor and normal mammary gland and obtained the SIs in these VOIs. We calculated the entropy (EPY) in the pre-contrast (EPY0) and four post-contrast scans (EPY1, EPY2, EPY3, and EPY4 for the first, second, third and fourth scans, respectively) using the volume histogram method, and the wash-in (WR(in)) and washout rates (WR(out)) according to the Breast-Imaging Reporting and Data System developed by the American College of Radiology. We also calculated the early slope (Slope(early)) from the pre- and post-contrast SIs in the tumor and normal gland. We evaluated the usefulness of the above parameters for differentiating between DCIS and mastopathy using the area under the receiver operating characteristic curve (Az).

RESULTS

There were significant differences in EPY2 (P=.009), EPY3 (P=.017), EPY4 (P=.034), WR(in) (P=.036), WR(out) (P=.019), and Slope(early) (P=.002) between DCIS and mastopathy. The average Az values were 0.67, 0.52, 0.64, 0.63, 0.67 and 0.70 for EPY2, EPY3, EPY4, WR(in), WR(out) and Slope(early), respectively.

CONCLUSION

We evaluated the usefulness of various parameters calculated from SIs obtained by DCE-MRI for differentiating between DCIS and mastopathy. Our results suggested that Slope(early) is more useful than EPYs, WR(in) and WR(out).

目的

本研究旨在通过分析信号强度（SI），回顾性评估动态对比增强磁共振成像（DCE-MRI）区分导管原位癌（DCIS）和乳腺病的能力。

方法

使用 1.5T MRI 系统进行对比前 MRI 后，静脉注射造影剂后进行 4 次 DCE-MRI。我们在肿瘤和正常乳腺上设置感兴趣区（VOI），并在这些 VOI 中获得 SI。我们使用体积直方图法计算对比前（EPY0）和 4 次对比后扫描（分别为第一次、第二次、第三次和第四次扫描的 EPY1、EPY2、EPY3 和 EPY4）的熵（EPY），并根据美国放射学院制定的乳腺成像报告和数据系统计算洗脱率（WR（in））和洗脱率（WR（out））。我们还从肿瘤和正常腺体的对比前后 SI 中计算了早期斜率（Slope（early））。我们使用受试者工作特征曲线下面积（Az）评估了上述参数在区分 DCIS 和乳腺病中的作用。

结果

DCIS 和乳腺病之间 EPY2（P=.009）、EPY3（P=.017）、EPY4（P=.034）、WR（in）（P=.036）、WR（out）（P=.019）和 Slope（early）（P=.002）存在显著差异。EPY2、EPY3、EPY4、WR（in）、WR（out）和 Slope（early）的平均 Az 值分别为 0.67、0.52、0.64、0.63、0.67 和 0.70。