摘要
目的比较不同影像学方法评价乳腺密度的一致性。方法搜集行DR及乳腺MR检查的患者共60例（两项检查间隔时问小于1个月）。乳腺DR采集的原始图像经R2工作站软件处理，计算机自动计算出乳房体积、乳腺实质体积及乳腺密度。乳腺X线片由2名X线影像诊断医师独立阅读，根据常用的乳腺实质分型方法（Wolfe分型、ACR分型）对58例乳腺实质进行分类。乳腺MR图像由2名影像医师通过模糊C聚类方法计算乳腺实质和脂肪的像素比例，得到乳腺密度。2周后，参与研究的其中1名影像医师重复上述工作。采用一致性检验评价各种测量方法观察者内、观察者间及不同测量方法间的一致性。结果Wolfe分型观察者内和观察者间一致性分别为0．74、0．65；ACR分型观察者内和观察者间一致性分别为0．74、0．82；Wolfe分型与ACR分型两者间一致性为0．77；MRI得到的乳腺密度观察者内和观察者间一致性分别为0．98和0．96；MRI与X线摄影计算机自动获取的乳腺密度具有较好的一致性（r=0．81，P〈0．01）。结论乳腺DR和MR两种方法测量得到的乳腺密度具有较高的一致性，可通过R2工作站对乳腺密度进行评价。
Objective To Compare different methods of quantitative breast density measurement. Methods The study included sixty patients who underwent both mammography and breast MRI. The breast density was computed automatically on digital mammograms with R2 workstation. Two experienced radiologists read the mammograms and assessed the breast density with Wolfe and ACR classification respectively. Fuzzy C-means clustering algorithm （FCM） was used to assess breast density on MRI. Each assessment method was repeated after 2 weeks. Spearman and Pearson correlations of inter- and intrareader and intermodality were computed for density estimates. Results Inter- and intrareader con＇elation of Wolfe classification were 0. 74 and 0. 65, and they were 0. 74 and 0. 82 for ACR classification respectively. Correlation between Wolfe and ACR classification was 0.77. High interreader correlation of 0. 98 and intrareader correlation of 0. 96 was observed with MR FCM measurement. And the correlation between digital mammograms and MRI was high in the assessment of breast density （ r = 0. 81, P 〈 0. 01 ）. Conclusion High correlation of breast density estimates on digital mammograms and MRI FCM suggested the former could be used as a simple and accurate method.
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2011年第3期284-287,共4页
Chinese Journal of Radiology
