Aplicação do Sonobreast e comparação de Acurácia e concordância com o sistema BI-RADS em nódulos mamários sólidos ao ultrassonografia
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2014-12-18
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Universidade Federal de Goiás
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Objectives: To compare the accuracy and concordance of SONOBREAST
with the BI-RADS system for predicting malignancy in solid breast masses
observed on ultrasound; and application the SONOBREAST in women with
breast lumps. Methods: 274 women were included prospectively, with the
assessment of 500 breast masses observed on ultrasound and that
presented any surgical indication. Sonographic features were assessed, the
patients' age and family history of first degree. The likelihood of malignancy
according to SONOBREAST model was calculated through the webpage
<www.sonobreast.com.br>, and the BI-RADS system. The result was
compared to anatomopathological examination. Results: The average age of
patients was 41.92 (± 14.40) years. There were 87 (17.40%) malignant
tumors; and 382 (76.40%) nonpalpable lesions. For the cutoff of 2%, the
lesions were regarded as suspicious in 171 cases (34.20%) by both
SONOBREAST and BI-RADS. The Kappa coefficient of concordance
between the methods was 1 (p <0.001). SONOBREAST was identical to the
BI-RADS system for sensitivity (95.40)%, specificity (78.69%), positive
predictive value (48.54%), negative predictive value (98.78%) and accuracy
(81.60 %). Compared to categorical variables (3, 4 and 5) classified by BIRADS,
the area under the ROC curve by SONOBREAST was of 94.41
(92.20 to 96.62) and by BI-RADS of 89.99 (86.60 to 93.37). Conclusion:
The SONOBREAST model presents identical accuracy compared to the BIRADS
system, when using the same parameters for the cutoff for malignancy
suspicion. Considering the increasing likelihood of malignancy for categories
3, 4 and 5 of the BI-RADS system, SONOBREAST model allowed a more
precise and individualized assessment.
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OLIVEIRA, L. F. P. Aplicação do Sonobreast e comparação de Acurácia e concordância com o sistema BI-RADS em nódulos mamários sólidos ao ultrassonografia. 2014. 67 f. Tese (Doutorado em Ciências da Saúde) - Universidade Federal de Goiás, Goiânia, 2014.