Radiological and histological correlation according to BI-RADS system: positive predictive value of categories 3, 4 and 5

Authors

  • Vinícius Gomes Lippi Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS
  • Thamyres Lourenço das Neves Silva Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS
  • André Carron Sacco Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS
  • Gustavo Lagreca Venys Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS
  • Maria Cláudia Neves de Lima Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS
  • Guilherme Lippi Ciantelli PUC-SP
  • Adriano Catapreta Lugon Ribeiro Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Keywords:

predictive value of tests, mammography, breast neoplasms.

Abstract

ABSTRACT
Objective: to analyze studies comparing mammographic findings according to BI-RADS, with histology, evaluating the positive predictive value of categories 3, 4 and 5. Materials and Methods: a review was conducted of Medline - Pubmed e SciELO - Lilacs, using the terms: “predictive value” and “BI-RADS or BIRADS” and “mammography”. Fifteen articles were included in this review, with the following criteria: original articles evaluating the positive predictive value (PPV) of categories 3, 4 and 5, based on the histopathological results of at least 100 injuries, work published since 1998; Articles in Portuguese, English or Spanish. Results: the positive predictive value of categories 3, 4 and 5 ranges between 0% and 8%, 4% and 67,8%, 54% and 100%, respectively. It was found that the lesions of greatest risk for malignant masses are speculated margin, high density and irregular shape and branching calcifications described as thin, linear or segmental distribution. We also found that the most common cancer in the calcified lesions were ductal carcinoma in situ and in the others lesions were infiltrating ductal carcinoma. Conclusion: the classification of BI-RADS system is useful and valuable to predict the presence of malignancy, allowing to discriminate, with some security, patients with higher risk of breast cancer. To reduce the performance of unnecessary invasive procedures, we suggest that the lesions are also analyzed according to morphological criteria.

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Author Biographies

Vinícius Gomes Lippi, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Acadêmico do curso de Medicina da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Thamyres Lourenço das Neves Silva, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Acadêmica do curso de Medicina da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

André Carron Sacco, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Acadêmico do curso de Medicina da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Gustavo Lagreca Venys, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Acadêmico do curso de Medicina da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Maria Cláudia Neves de Lima, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Acadêmica do curso de Medicina da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Guilherme Lippi Ciantelli, PUC-SP

Acadêmico do curso de Medicina FCMS/PUC-SP

Adriano Catapreta Lugon Ribeiro, Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

Professor do Depto de Ginecologia e Obstetrícia da Faculdade de Ciências Médicas de Santos - Fundação Lusíada - UNILUS

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Published

2014-04-01

How to Cite

1.
Lippi VG, Silva TL das N, Sacco AC, Venys GL, Lima MCN de, Ciantelli GL, Ribeiro ACL. Radiological and histological correlation according to BI-RADS system: positive predictive value of categories 3, 4 and 5. Rev. Fac. Ciênc. Méd. Sorocaba [Internet]. 2014Apr.1 [cited 2024Dec.22];16(1):4-10. Available from: https://revistas.pucsp.br/index.php/RFCMS/article/view/12685

Issue

Vol. 16 No. 1 (2014)

Section

Review

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