Objectives: To evaluate the clinicopathologic factors and ultrasonographic findings of breast cancer detected in screening automated breast volume scanner. Methods: A total of 15 breast cancer was identified in screening automated breast volume scanner from February 2011 to December 2016. Image findings in automated breast volume scanner were retrospectively evaluated by two radiologists in consensus following the BI-RADS Lexicon. Clinicopathologic data of breast cancers were also collected. Results: Of the 15 breast cancers, 11 (50.6%) were invasive ductal carcinoma, two were ductal carcinoma in situ, one was tubular carcinoma and one was invasive lobular carcinoma. 15 breast cancers showed irregular shape (12/15, 80%), hypoechoic (9/15, 60%), microlobulated margins (7/15, 46.6%), parallel orientation (11/15, 73.3%) and no posterior feature (9/15, 60%) on automated breast volume scanner. Among the 13 patients underwent surgery in our institute, pathologic tumor size was all T1 stage. Lymphnode metastasis was presented in one patient and metastasis was not reported in all patients. Conclusions: Automated breast volume scanner is an effective screening tool to detect early stage-breast cancer.
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