期刊文献+

数字乳腺摄影诊断乳腺良恶性肿块的价值及误诊分析

Assessment of Differentiation of Benign Versus Malignant Breast Tumors by Digital Mammography,and Misdiagnose Analysis
下载PDF
导出
摘要 目的:评估数字乳腺摄影鉴别乳腺良恶性肿块的价值。方法:收集2012年12月-2015年12月在我院行数字乳腺摄影80例女性患者,良性病例随访截止至2016年6月,采用BI-RADS分类评价数字乳腺摄影的检查结果,并与病理作对照。结果:80例患者共检出88个病灶,其中恶性35例,良性53例。(1)乳腺恶性肿块组平均年龄为(46.36±9.816)岁,良性组平均年龄为(40.45±8.216)岁,恶性组年龄高于良性组,差异有统计学意义(P<0.05)。(2)数字乳腺摄影的敏感性为80.0%,特异性为88.7%,假阳性率为11.3%,假阴性率为20.0%。(3)88个病灶数字乳腺摄影表现分别为局部密度增高26例(29.5%),单纯肿块20例(22.7%),肿块伴钙化20例(22.7%),单纯钙化18例(20.5%),结构扭曲4例(4.5%)。结论:数字乳腺摄影鉴别乳腺良恶性肿块有重要的价值,但仍然存在一定的误诊,必要时需结合超声或MRI检查。 Objective:To assess differentiation of benign between malignant breast tumors by digital mammography.Methods:80patients were enrolled during Decernber 2012 to Decernber 2015,which were all underwent mammography.The follow-up of benign ended until June 2016.The digital mammography were assessed according to BI-RADS categories.Results:(1)In 80 patients,88lesions including 35 malignant lesions and 53 benign lesions were found.The average age of the malignant and benign lesions were 46.36±9.816 and 40.45±8.216 respectively,the malignant group is elder than the benign group,the discrepancy has statistic significance(P〈0.05).(2)The sensitivity,specificity,the fake positive rate and the fake negative rate were respectively 80.0%,88.7%,11.3% and 20.0%for mammography.(3)Mammography performances of 88 lesions are shown as local increased density(26,29.5%),pure lump(20,22.7%),pure calcification(18,20.5%),lump with calcification(20,22.7%),architectural distortion(4,4.5%).Conclusion:Digital mammography has important value in differentiating benign and malignant breast tumors,but there is still a certain amount of misdiagnosis and,if necessary,should be combined with ultrasound or MRI examination.
出处 《医学理论与实践》 2016年第23期3192-3194,共3页 The Journal of Medical Theory and Practice
关键词 乳腺肿块 数字乳腺摄影 误诊分析 Breast tumor Mammography Misdiagnose analysis
  • 相关文献

参考文献6

二级参考文献93

共引文献123

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部