自动乳腺全容积扫描对乳腺BI-RADS分类及鉴别诊断的意义

Significance of Automated Breast Volume Scanner in BI-RADS Classification and Differential Diagnosis

目的:分析自动乳腺全容积扫描(automated breast volume scanner,ABVS)对乳腺BI-RADS(breast imaging reporting and data system)分类及鉴别诊断意义。方法:将2017年10月至2018年12月在安徽省阜阳市人民医院超声科经常规超声归为BI-RADS分类4类的60例乳腺结节患者纳入研究范围,回顾性分析其常规超声结果及ABVS BI-RADS分类结果,与病理组织学结果对照,分析ABVS对乳腺BI-RADS分类及鉴别诊断意义。结果:ABVS BI-RADS分类的灵敏度为92.11%、特异度为81.82%、准确率为87.32%、阳性预测值85.37%、阴性预测值90.00%;其中灵敏度、阴性预测值显著高于常规超声BIRADS分类(P<0.05)。结论:ABVS可进一步优化常规超声乳腺BI-RADS分类,基于ABVS可提升超声BI-RADS分类对BI-RADS分类4类乳腺结节的诊断鉴别能力,值得临床重视。

Objective:To analyze the significance of automated breast volume scanner(ABVS)in breast imaging reporting and data system classification and differential diagnosis.Methods:60 patients with breast nodules which were classified as BI-RADS type 4 by conventional ultrasound in ultrasonic department of Fuyang People’s Hospital,Anhui Province from October 2017 to December 2018 were enrolled in the study.The results of conventional ultrasound and ABVS BI-RADS classification were retrospectively analyzed and were compared with histopathological results.The significance of ABVS in BI-RADS classification and differential diagnosis was analyzed.Results:The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of ABVS BIRADS classification were 92.11%,81.82%,87.32%,85.37%and 90.00%respectively,and the sensitivity and negative predictive value were significantly higher than those of conventional ultrasound BI-RADS classification(P<0.05).Conclusion:ABVS can further optimize the classification of conventional ultrasound BI-RADS.Based on ABVS,the ability of ultrasound BI-RADS classification to differential diagnosis of breast nodules of BI-RADS type 4 can be improved.