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Cadernos de Saúde Pública

versão impressa ISSN 0102-311X

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SIMOES, Priscyla Waleska et al. Metanálise do uso de redes bayesianas no diagnóstico de câncer de mamaMeta analysis of the use of Bayesian networks in breast cancer diagnosis. Cad. Saúde Pública [online]. 2015, vol.31, n.1, pp.26-38. ISSN 0102-311X.  https://doi.org/10.1590/0102-311X00205213.

The aim of this study was to determine the accuracy of Bayesian networks in supporting breast cancer diagnoses. Systematic review and meta-analysis were carried out, including articles and papers published between January 1990 and March 2013. We included prospective and retrospective cross-sectional studies of the accuracy of diagnoses of breast lesions (target conditions) made using Bayesian networks (index test). Four primary studies that included 1,223 breast lesions were analyzed, 89.52% (444/496) of the breast cancer cases and 6.33% (46/727) of the benign lesions were positive based on the Bayesian network analysis. The area under the curve (AUC) for the summary receiver operating characteristic curve (SROC) was 0.97, with a Q* value of 0.92. Using Bayesian networks to diagnose malignant lesions increased the pretest probability of a true positive from 40.03% to 90.05% and decreased the probability of a false negative to 6.44%. Therefore, our results demonstrated that Bayesian networks provide an accurate and non-invasive method to support breast cancer diagnosis.

Palavras-chave : Medical Informatics; Bayes Theorem; Breast Neoplasms.

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