OBJECTIVE: To demonstrate the frequency of malignancy and histological characteristics of lesions in patients submitted to vacuum-assisted breast biopsy guided by magnetic resonance imaging (MRI). MATERIALS AND METHODS: This was a retrospective study of MRI-guided vacuum-assisted breast biopsies performed between April 2008 and December 2016, in which we analyzed clinical and epidemiological data, as well as the BI-RADS classification and histopathological results. We compared nodules and non-nodular enhancements, in terms of their correlation with malignancy, using chi-square test. RESULTS: Among 215 cases referred for MRI-guided vacuum-assisted breast biopsy, the procedure was contraindicated in 10 cases (5%) and was technically feasible in the remaining 205 (95%). Non-nodular enhancements were observed in 135 cases (66%), and nodules were observed in 70 (34%), with a mean diameter of 2.2 cm (range, 0.5-9.6 cm) and 0.97 cm (range, 0.5-2.2 cm), respectively. Of the 205 lesions analyzed, 43 (21%) were malignant, 129 (63%) were benign, and 33 (16%) were classified as high-risk lesions. The most common histological findings were invasive ductal carcinoma and, in high-risk cases, lobular neoplasia. There was no significant difference between nodules and non-nodular enhancements in terms of the rate of malignancy (p = 0.725). CONCLUSION: In our sample, the overall malignancy rate was 21%. However, to improve the assessment of these results, it is necessary to correlate them with the surgical data and with data from the follow-up of benign cases.

Keywords: Image-guided biopsy/methods; Breast; Magnetic resonance imaging; Breast neoplasms/diagnosis.

OBJECTIVE: To evaluate the main technical limitations of automated breast ultrasound and to determine the proportion of examinations excluded. MATERIALS AND METHODS: We evaluated 440 automated breast ultrasound examinations performed, over a 12-month period, by technicians using an established protocol. RESULTS: In five cases (1.1%), the examination was deemed unacceptable for diagnostic purposes, those examinations therefore being excluded. CONCLUSION: Automated breast ultrasound is expected to overcome some of the major limitations of conventional ultrasound in breast cancer screening. In Brazil, this new method can be accepted for inclusion in routine clinical practice only after its advantages have been validated in the national context.

Keywords: Ultrasonography, mammary/methods; Breast neoplasms/diagnostic imaging; Breast density; Early detection of cancer/methods; Mass screening/methods.