Abstract:Objective: To assess the value of automated breast volume scanner(ABVS) for the diagnosis of benign and malignant breast masses. Methods: ABVS images and molybdenum X-ray imaging information of 93 patients, 120 breast masses were analyzed retrospectively. All the masses had pathological findings after operations. Results: Compared total lesion detection rate, ABVS relevance ratio was 95%(114/120). Molybdenum X-ray relevance ratio was 80%(96/120), it had statistical significance(P<0.05). Compared relevance rate of malignant breast tumors, ABVS relevance ratio was 98.3%(58/59), molybdenum X-ray relevance ratio was 83.1%(49/59), it had statistical significance(P<0.05). Compared relevance rate of benign masses, ABVS relevance ratio was 91.8%(56/61), molybdenum X-ray relevance ratio was 77.0%(47/61), it had statistical significance(P<0.05). There were 35 malignant lesions less than 2 centimeter. ABVS examined 32 lesions, relevance ratio was 91.4%. Molybdenum X-ray examination found 28 lesions, relevance ratio was 80%, it had statistical significance(P<0.05). Occurrence rate of masses in the coronal section of ABVS presented with “crater” sign was 89.7%(52/58), whereas it was 3.6%(2/56) in molybdenum X-ray. The detection rate of malignant lesions of less than 2 centimeter presented with “crater” sign was 91.4%(32/35), whereas it was 5.3% in benign lesions. “Crater” sign are specific indicators for differentiation between malignant and benign breast tumors. Conclusion: ABVS system provides the omni-directional imaging breast masses of information. Compared with molybdenum X-ray, ABVS imaging system provides much more useful information on lesions with a higher detection rate and accuracy. The “crater” sign can serve as indicators of differential characteristics between malignant and benign masses.
李 敏;蒋贤辉;马晓棠;涂美琳;王灵燕;徐子宁;张竹君. 自动容积扫描对乳腺肿块良恶性鉴别价值的应用探讨[J]. , 2013, 24(9): 622-625.
LI Min;JIANG Xian-hui;MA Xiao-tang;TU Mei-lin;WANG Ling-yan;XU Zi-ning;ZHANG Zhu-jun. Diagnostic value of automated breast volume scanner images on benign and malignant breast masses. , 2013, 24(9): 622-625.