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自动乳腺全容积扫描成像系统对乳腺肿块的诊断价值
申俊玲,李婷,龚业琼,吴晓莉,李可基
0
(攀枝花市中心医院超声科)
摘要:
目的 探讨自动乳腺全容积扫描成像(ABVS)对乳腺肿块的诊断价值及其最佳诊断界点。方法 对经活检或手术病理证实的477例656个乳腺肿块的ABVS图像进行回顾性分析,以方位、边缘、毛刺、汇聚征、钙化5个特征评分,用ROC曲线探讨其最佳诊断界点和诊断评估指标,并计算曲线下面积、敏感性、特异性、准确性、误诊率及漏诊率。结果 ABVS方位、边缘、毛刺、汇聚征、钙化5个特征均可作为评价乳腺良、恶性病变的指标。对5个指标进行综合评分,绘制ROC曲线,曲线下面积为0.891,以≥2分为超声诊断乳腺癌的临界点,其诊断的敏感性、特异性、准确性、误诊率及漏诊率分别为89.6%、93.8%、93.0%、10.4%和6.2%。结论 ABVS作为一种新的超声技术,可成为诊断乳腺癌的一项新的量化指标。
关键词:  乳腺肿块  自动乳腺全容积扫描成像  超声诊断
DOI:
基金项目:四川省卫生厅科研课题(110641)
The diagnostic value of the automated breast volume scanner of Breast Lesions
SHEN Junling,LI Ting,GONG Yeqiong,WU Xiaoli,LI Keji
(Department of Ultrasound, The Central Hospital of Panzhihua)
Abstract:
Objective To explore the best cutoff point of the automated breast volume scanner (ABVS) by scoring method for differentiating malignant and benign breast lesions and to assess the diagnostic value using scoring in ABVS. Methods The ABVS images of 656 breast lesions (477 cases) proved by pathology were reviewed. 5 characteristics of the side, edge, burr, entanglement and calcification were used in scring. A receiver operating characteristic (ROC) curve was used to explore the best cutoff point. The area under the ROC curve (Az), sensitivity, specificity, accuracy, misdiagnosis rate and missed diagnosis rate were calculated. Results ABVS side, edge, burr, entanglement and calcification are all indicators of benign and malignant breast lesions. A comprehensive score was made on the 5 indicators and the ROC curve was plotted. The area under the curve was 0891. The critical point for ultrasound diagnosis of breast cancer was ≥2. The sensitivity, specificity, accuracy misdiagnosis rate and missed diagnosis rate were 0.891, 89.6%, 93.8%,93.0%,10.4% and 6.2%. Conclusion The scring in ABVS image is a useful quantitative index for differentiating breast malignant lesion from benign lesion.
Key words:  Breast lesions  Automated breast volume scanner  Diagnose

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