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Impact of PI-RADS v2 on indication of prostate biopsy
Int. braz. j. urol; 45(3): 486-494, May-June 2019. tab, graf
Artigo em Inglês | LILACS-Express | ID: biblio-1012318
Biblioteca responsável: BR1.1
ABSTRACT

ABSTRACT OBJECTIVES:

To identify the group of patients who could safely avoid prostate biopsy based on the findings of multiparametric prostate resonance imaging (MRmp), parameterized with PI-RADS v2, using prostate biopsy as reference test and to assess the sensitivity and specificity of mpMR in identifying clinically significant prostate cancer using prostate biopsy as a reference test.

PATIENTS AND METHODS:

Three hundred and forty two patients with suspected prostate cancer were evaluated with mpMR and prostate biopsy. Agreement between imaging findings and histopathological findings was assessed using the Kappa index. The accuracy of mpMR in relation to biopsy was assessed by calculations of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).

RESULTS:

A total of 342 biopsies were performed. In 201 (61.4%), mpMR had a negative result for cancer, which was confirmed on biopsy in 182 (53%) of the cases, 17 (4.9%) presented non-clinically significant cancer and only 2 (0.5%) clinically significant cancer. 131 (38.3%) patients had a positive biopsy. Clinically significant cancer corresponded to 83 (34.2%), of which 81 (97.5%) had a positive result in mpMR. Considering only the clinically significant cancers the mpMR had a sensitivity of 97.6%, specificity of 76.8%, PPV 57.4% and VPN of 99%.

CONCLUSIONS:

mpMR is a useful tool to safely identify which patients at risk for prostate cancer need to undergo biopsy and has high sensitivity and specificity in identifying clinically significant prostate cancer.

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Aspecto clínico: Predição Idioma: Inglês Revista: Int. braz. j. urol Assunto da revista: Urologia Ano de publicação: 2019 Tipo de documento: Artigo País de afiliação: Brasil Instituição/País de afiliação: CURA Imagem e Diagnóstico/BR / Faculdade de Ciências Médicas da Santa Casa de São Paulo/BR / Universidade Federal de São Paulo/BR