摘要
目的探讨不同磁共振成像技术联合应用在BI-RADS4类乳腺病变中的的诊断价值。方法回顾性分析经病理证实的106例BI-RADS4类乳腺病变，对良恶性病变的形态、边缘、强化方式、表观扩散系数（ADC）值进行分析，并计算各种MRI征象及其联合应用的敏感度、特异度、准确度。结果106例BI-RADS4类乳腺病变，恶性76例，良性30例，两者在边缘、强化方式、ADC值表现差异均具有统计学意义（19〈0．05），单一征象中强化方式的敏感度、准确度均最高，分别为84％、82％，ADC值的特异度最高为80％；两项影像征象联合中，强化方式＋ADC值的敏感度、特异度、准确度均最高，分别为80％、90％、83％；三项MRJ征象联合诊断中，病变边缘＋强化方式＋ADC值的敏感度、特异度、准确度均最高，分别为75％、100％、82％；四项MRI征象联合中，诊断的敏感度、特异度、准确度分别为59％、100％、71％。结论不同MRJ征象在鉴别BI．RADS4类乳腺良恶性病变有着重要意义，联合诊断的应用可明显提高病变诊断的特异度，减少误诊的发生。
Objective To investigate the diagnosis value of magnetic resonance imaging （ MRI ） for the Breast Imaging and Reporting Data System （ BI-RADS ） category 4 breast lesions. Methods Analysis was made to the lesion shape, edge, enhancement pattern, ADC value, to distinguish between benign and malignant, and calculate the sensitivity, specificity, accuracy, based on the retrospectively analyzed 106 BI-RADS category 4 lesions which have been pathologically proven. Results There were 76 cases of malignant and 30 cases of benign in the totally 106 cases, both types had the statistical significance in the lesion edge, enhancement pattern and ADC value. Enhancement pattern showed the highest sensitivity （ 84% ） and accuracy （ 82% ） , meanwhile, ADC value showed the highest specificity （ 80% ） , Combining two signs together, ADC value and enhancement pattern showed the highest sensitivity, specificity, and accuracy of 80%~ 90%and 83% respectively. Combining three signs together, lesion edge, enhancement pattern and ADC value, showed the highest sensitivity, specificity, and accuracy of 75%、 100%, 82%. Combining four signs together showed a sensitivity, specificity, and accuracy of 59%, 100%, 71%. Conclusion MRI is important for the identification between benign and malignant in BI-RADS category 4 lesions, the application of Combining diagnosis could significantly increase the specificity of disease, thus greatly reduced the incidence of misdiagnosis.
出处
《浙江临床医学》
2016年第4期638-640,共3页
Zhejiang Clinical Medical Journal
关键词
乳腺肿瘤
乳腺影像报告与数据系统
磁共振成像
扩散加权成像
Breast neoplasms Breast Imaging and Reporting Data System Magnetic resonance imaging Diffusion weighted imaging
作者简介
通讯作者
