Objective To evaluate the clinical value of automated breast volume scanner (ABVS) in the differential diagnosis of benign and malignant breast lesions.Methods During the period ranging from May 2014 to November 2014, bilateral breast examinations using ABVS and conventional ultrasound were applied to 200 women.All the patients were operated in the First Hospital of Dalian Medical University; the pathological results after surgery were reivewed.The 200 patients had a total number of 230 lesions, including 147 benign lesions and 83 malignant lesions.The patients were examined by both conventional ultrasound and ABVS, and the imaging characters were used to differentiate the le-sions, then compared to the pathology.The diagnostic value of ABVS was analyzed in differentiating benign and malig-nant mammary lesions.Results ABVS could be employed as a useful modality for diagnosing carcinoma with higher di-agnostic valuation.ABVS combined with US was superior to conventional ultrasound or ABVS,the difference was statis-tically significant (P<0.05).The characteristic“convergence sign” in ABVS coronary section had 89.8%specifici-ty, 71.1%sensitivity, 83.0%accuracy, 79.7%positive predictive value (PPV) and 84.6%negative predictive val-ue ( NPV) , respectively.The difference in the benign or malignant breast tumors with“convergence sign” was statisti-cally significant (P<0.05), and the sigh was helpful to distinguish benign and malignant tumors.Conclusion ABVS provides a new valuable index for the use of ultrasound in diagnosing benign or malignant breast tumors and is a new supplement of conventional ultrasound.%目的：探讨自动乳腺全容积扫查系统（ ABVS）在鉴别乳腺肿物良恶性方面的临床应用价值。方法选取2014年5月－11月期间在大连医科大学附属第一医院经术后病理证实的200例患者，共计230个病灶，其中良性病灶147个，恶性病灶83个。每位患者进行常规超声及自动全容积成像，根据不同方法判定病灶良恶性，所得结果与病理对照，以评价ABVS系统在乳腺良恶性肿瘤诊断中的临床应用价值。结果常规超声与全容积成像联合应用较二者单独应用诊断准确率增高，差异均有显著性意义（P＜0．05）。 ABVS“汇集”征对乳腺恶性肿瘤诊断的灵敏度、特异度、准确度、阳性预测值、阴性预测值分别为71．08％、89．80％、83．04％、79．73％、84．61％。“汇集”征在良性病灶中的出现率为10．20％，恶性病灶中出现率为71．08％，两者比较差异有显著性意义（P＜0．05）。结论 ABVS显示的三切面图像，特别是冠状面的“汇集”征，可明显提高乳腺良恶性肿瘤诊断准确率，为临床提供了一个全新的有价值的影像学诊断方法。
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