摘要
目的探讨声触诊组织成像量化(VTIQ)技术、钼靶X线及二者联合诊断乳腺良恶性病灶的价值。方法对99例患者(110个乳腺病灶)行术前VTIQ成像和钼靶X线检查,获得病灶的剪切波速度平均值(SWV mean),并进行乳腺影像报告与数据系统(BI-RADS)分类。以病理结果为金标准,分别绘制SWV mean 、钼靶X线及二者联合诊断乳腺病灶良恶性的ROC曲线,评价其诊断效能。比较VTIQ技术、钼靶X线及二者联合诊断乳腺良恶性病灶的AUC的差异。结果乳腺良性病灶SWV mean 为(3.03±0.78)m/s,恶性为(5.61±2.11)m/s,差异有统计学意义(P<0.001)。SWV mean 诊断乳腺良恶性病灶的截断值为3.93 m/s,钼靶X线为BI-RADS 4B类。VTIQ技术、钼靶X线及二者联合诊断乳腺良恶性病灶的AUC分别为0.870 、0.749 和0.873,VTIQ技术与钼靶X线、二者联合与钼靶X线的AUC差异均有统计学意义(P=0.036、0.015),二者联合与VTIQ技术AUC差异无统计学意义(P=0.908)。结论 VTIQ技术与钼靶X线联合诊断乳腺良恶性病灶具有较高价值。
Objective To investigate the value of single and combination of virtual touch tissue imaging quantification (VTIQ) technique and mammography in diagnosis of benign and malignant breast lesions.Methods VTIQ and mammography were performed on 99 patients (110 breast lesions).The mean value of shear wave velocity (SWV mean) of breast lesions were obtained.Mammographic classification of breast lesions was obtained with breast imaging reporting and data system (BI-RADS).Taken pathology as gold standard,the ROC curve was used to evaluate the diagnostic efficacy of SWV mean,mammography and the combination of these two methods.The differences of AUC among single and combined VTIQ technique and mammography in diagnosis of benign and malignant breast lesions were compared.Results SWV mean of benign breast lesions was (3.03±0.78) m/s,of malignant ones was (5.61±2.11) m/s (P<0.001).The cutoff value of SWV mean in diagnosis of benign and malignant breast lesions was 3.93 m/s,and of mammography was BI-RADS 4B.AUC of VTIQ,mammography and combination was 0.870,0.749 and 0.873,respectively.The differences of AUC between VTIQ technique and mammography,combination and mammography were statistically significant (P=0.036,0.015),while of AUC between the combination and VTIQ technique was not statistically significant (P=0.908).Conclusion Combination of VTIQ technique and mammography has high efficacy in diagnosis of benign and malignant breast lesions.
作者
王玉乔
王荣
鹿皎
王兴田
刘洁
WANG Yuqiao;WANG Rong;LU Jiao;WANG Xingtian;LIU Jie(Department of Ultrasound,the Affiliated Hospital of Xuzhou Medical University,Xuzhou 221006,China)
出处
《中国医学影像技术》
CSCD
北大核心
2019年第7期1033-1037,共5页
Chinese Journal of Medical Imaging Technology