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Urology ; 146: 189-195, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-32890616

RESUMO

OBJECTIVE: To assess the outcomes through systematic review and meta-analysis of multi-parametric magnetic resonance imaging (mpMRI) of the prostate in biopsy naïve men. METHODS: Systemic review and meta-analysis was performed to assess the performance of mpMRI on prostate cancer (PCa) detection at the time of biopsy. We used standard methods for performing a meta-analysis evaluating a diagnostic test and reported the pooled sensitivity and specificity, and the positive and negative likelihood ratios (LR) for mpMRI in the detection of any and clinically significant prostate cancer (csPCa). RESULTS: A total of 10 studies comprising 2486 patients were analyzed. Overall, if biopsies would have been performed only in men with an mpMRI suspicious for malignancy between 7.4% and 58.5% of the biopsies could have been avoided, but 2.3%-36% of any PCa and 0%-30.8% of csPCa would have been missed. The sensitivity, specificity, positive LR, and negative LR of mpMRI for any PCa detection were 0.86 (95% confidence interval [CI], 0.78-0.91), 0.67 (95% CI, 0.40-0.86), 2.6 (95% CI, 1.2-5.5), and 0.2 (95% CI, 0.12-0.32), respectively. The AUC for any PCa detection was 0.84 (95% CI, 0.75-0.90). The pooled sensitivity, specificity, positive LR, and negative LR of mpMRI for csPCa detection was 0.94 (95% CI, 0.83-0.98), 0.54 (95% CI, 0.42-0.65), 2 (95% CI, 1.5-2.7), and 0.1 (95% CI, 0.02-0.35), respectively. The AUC for csPCa detection was 0.94 (95% CI, 0.65-1). CONCLUSION: This study provides summary estimates indicating that mpMRI can accurately detect prostate cancer and help avoid unnecessary biopsies in this population.


Assuntos
Imageamento por Ressonância Magnética Multiparamétrica/estatística & dados numéricos , Próstata/diagnóstico por imagem , Neoplasias da Próstata/diagnóstico , Biópsia/estatística & dados numéricos , Estudos de Viabilidade , Humanos , Masculino , Estudos Prospectivos , Próstata/patologia , Neoplasias da Próstata/patologia , Sensibilidade e Especificidade
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