摘要
目的:探讨全数字化乳腺摄影(DM)计算机辅助诊断(CAD)在不同乳腺结构内检出乳腺癌的价值。方法:185例经病理证实的单乳单灶性乳腺癌及179例正常乳腺均行DM检查,根据BI-RADS将所有乳腺分为非致密组和致密组。将所有乳腺摄影图像采用CAD法进行诊断,计算CAD的诊断敏感性,记录CAD在病例组及正常组的平均每例假阳性标记数,并进行不同结构乳腺组间及病例组与正常组的比较。结果:CAD检出乳腺癌的敏感度为88.6%;在非致密组与致密组中检出乳腺癌的敏感度分别为97.4%和82.4%,两组比较,差异具有统计学意义(P<0.05)。在病例组和正常组中CAD的假阳性标记数的中位数(最小值,最大值)分别为1(0,12)个和2(0,8)个,两组间的差异有统计学意义(P<0.05)。结论:CAD检出乳腺癌的敏感性较高,乳腺密度可能影响DM对单纯肿块型乳腺癌的检出。
Objective：To assess the value of full field digital mammography （DM） with computer-aided detection system （CAD） for the diagnosis of breast carcinoma in breasts with different parenchyma structures. Methods： Mammograms of 185 cases with pathology proved solitary breast carcinoma in unilateral breast and these of 179 breasts of normal women were collected. All breasts were classified into dense and non-dense parenchyma groups according to BI-RADS classifica- tion. CAD were applied in all mammograms. The sensitivity and false-positive marks of CAD were evaluated and the comparison of cancer with normal cases,as well as comparison of non-dense group with dense parenchyma group were per- formed. Results：The overall sensitivity of CAD in detecting breast carcinoma was 88.6%. The sensitivity of CAD in non- dense and dense parenchyma group was 97.4% and 82.4% respectively,with significant statistic difference （P〈0.05）. The median （maximum,minimum） of false positive marks was 1 （0,12） in carcinoma cases and 2 （0,8） in normal cases, with significant statistic difference. Conclusion： CAD shows a high sensitivity in detecting breast carcinoma. Breast parenchyma density can impact the detection of mass lesion in breast cancer.
出处
《放射学实践》
2014年第4期408-411,共4页
Radiologic Practice
