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OBJECTIVE: Breast cancer is one of the most important causes of death in women. The association of different diagnostic methods has been successfully employed as a means to enhance early diagnosis. In this scenario, the interventional and diagnostic breast ultrasound has played a significant role. This study has two main objectives: to identify echographic criteria related to benignancy and malignancy and to analyze echographic characteristics, evaluating their role as malignancy predictors. MATERIALS AND METHODS: Echographic morphological criteria adopted in the images description were: shape, limits, contour, echogenicity, echotexture, echotransmission, lesion orientation, and secondary signs. Validation was sought on 450 echographic images compared with follow-up and histopathological results. RESULTS: Main benignancy criteria were: well defined shape, regular contour, precise limits, lesions isoechoic to fatty tissue, homogeneous echotexture, and horizontal orientation. The criteria more typically related to malignancy were: ill-defined shape, irregular contour, partially precise limits, and hypoechogenicity. Contour irregularity has presented the greatest sensitivity (92.7%) as well as the highest negative predictive value (98.2%), while vertical orientation of the lesion has presented the greatest specificity (99.3%), and ill-defined shape, the highest positive predictive value (91.0%). CONCLUSION: The standardization of the method for characterization and description of breast ultrasound images has resulted in reports uniformization and optimization, allowing more appropriate therapeutic decisions. Keywords: Ultrasound; Breast lesions; Diagnosis.Ultra-sonografia mamária: avaliação dos critérios ecográficos na diferenciação das lesões mamárias. OBJETIVO: O câncer de mama é uma das causas mais importantes de mortalidade feminina. Na busca do diagnóstico cada vez mais precoce, a associação de métodos diagnósticos tem sido utilizada com êxito, tendo grande participação a ultra-sonografia mamária diagnóstica e intervencionista. Este trabalho tem como objetivos: identificar os critérios ecográficos mais relacionados com benignidade e malignidade e avaliar as propriedades das características ecográficas, verificando o seu poder de predição de malignidade. MATE-RIAIS E MÉTODOS: Os critérios morfológicos ecográficos utilizados nas descrições das imagens foram: forma, limites, contorno, ecogenicidade, ecotextura, ecotransmissão, orientação e sinais secundários. A validação foi buscada em 450 imagens ecográficas, comparadas aos resultados de seguimento ou de histopatologia de peça cirúrgica. RESULTADOS: Os principais critérios de benignidade foram: forma definida, contorno regular, limites precisos, lesões isoecóicas ao tecido adiposo, ecotextura homogênea e orientação horizontal. Os critérios mais característicos de malignidade foram: forma indefinida, contorno irregular, limites parcialmente precisos e lesões hipoecóicas. O contorno irregular apresentou a maior sensibilidade (92,7%) e o maior valor preditivo negat...

Objective To compare hand-held breast ultrasound (HHBUS) and automated breast ultrasound (ABUS) as screening tool for cancer. Methods A cross-sectional study in patients with mammographically dense breasts was conducted, and both HHBUS and ABUS were performed. Hand-held breast ultrasound was acquired by radiologists and ABUS by mammography technicians and analyzed by breast radiologists. We evaluated the Breast Imaging Reporting and Data System (BI-RADS) classification of the exam and of the lesion, as well as the amount of time required to perform and read each exam. The statistical analysis employed was measures of central tendency and dispersion, frequencies, Student t test, and a univariate logistic regression, through the odds ratio and its respective 95% confidence interval, and with p < 0.05 considered of statistical significance. Results A total of 440 patients were evaluated. Regarding lesions, HHBUS detected 15 (7.7%) BI-RADS 2, 175 (89.3%) BI-RADS 3, and 6 (3%) BI-RADS 4, with 3 being confirmed by biopsy as invasive ductal carcinomas (IDCs), and 3 false-positives. Automated breast ultrasound identified 12 (12.9%) BI-RADS 2, 75 (80.7%) BI-RADS 3, and 6 (6.4%) BI-RADS 4, including 3 lesions detected by HHBUS and confirmed as IDCs, in addition to 1 invasive lobular carcinoma and 2 high-risk lesions not detected by HHBUS. The amount of time required for the radiologist to read the ABUS was statistically inferior compared with the time required to read the HHBUS (p < 0.001). The overall concordance was 80.9%. A total of 219 lesions were detected, from those 70 lesions by both methods, 126 only by HHBUS (84.9% not suspicious by ABUS) and 23 only by ABUS. Conclusion Compared with HHBUS, ABUS allowed adequate sonographic study in supplemental screening for breast cancer in heterogeneously dense and extremely dense breasts.