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Impact of PI-RADS Category 3 lesions on the diagnostic accuracy of MRI for detecting prostate cancer and the prevalence of prostate cancer within each PI-RADS category: A systematic review and meta-analysis.
Wadera, Akshay; Alabousi, Mostafa; Pozdnyakov, Alex; Kashif Al-Ghita, Mohammed; Jafri, Ali; McInnes, Matthew Df; Schieda, Nicola; van der Pol, Christian B; Salameh, Jean-Paul; Samoilov, Lucy; Gusenbauer, Kaela; Alabousi, Abdullah.
Afiliação
  • Wadera A; Department of Radiology, McMaster University, Hamilton, ON, Canada.
  • Alabousi M; Department of Radiology, McMaster University, Hamilton, ON, Canada.
  • Pozdnyakov A; Faculty of Medicine, McMaster University, Hamilton, ON, Canada.
  • Kashif Al-Ghita M; Faculty of Biomedical Sciences, Western University, London, ON, Canada.
  • Jafri A; Department of Medicine, New York Institute of Technology School of Osteopathic Medicine, Glen Head, NY, United States.
  • McInnes MD; The Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, ON, Canada.
  • Schieda N; Department of Radiology, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
  • van der Pol CB; Department of Radiology, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada.
  • Salameh JP; Department of Radiology, McMaster University, Juravinski Hospital, Hamilton, ON, Canada.
  • Samoilov L; Department of Medicine, Clinical Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
  • Gusenbauer K; Department of Radiology, McMaster University, Hamilton, ON, Canada.
Br J Radiol ; 94(1118): 20191050, 2021 Feb 01.
Article em En | MEDLINE | ID: mdl-33002371
OBJECTIVE: To evaluate Prostate Imaging Reporting and Data System (PI-RADS) category 3 lesions' impact on the diagnostic test accuracy (DTA) of MRI for prostate cancer (PC) and to derive the prevalence of PC within each PI-RADS category. METHODS: MEDLINE and Embase were searched until April 10, 2020 for studies reporting on the DTA of MRI by PI-RADS category. Accuracy metrics were calculated using a bivariate random-effects meta-analysis with PI-RADS three lesions treated as a positive test, negative test, and excluded from the analysis. Differences in DTA were assessed utilizing meta-regression. PC prevalence within each PI-RADS category was estimated with a proportional meta-analysis. RESULTS: In total, 26 studies reporting on 12,913 patients (4,853 with PC) were included. Sensitivities for PC in the positive, negative, and excluded test groups were 96% (95% confidence interval [CI] 92-98), 82% (CI 75-87), and 95% (CI 91-97), respectively. Specificities for the positive, negative, and excluded test groups were 33% (CI 23-44), 71% (CI 62-79), and 52% (CI 37-66), respectively. Meta-regression demonstrated higher sensitivity (p < 0.001) and lower specificity (p < 0.001) in the positive test group compared to the negative group. Clinically significant PC prevalences were 5.9% (CI 0-17.1), 11.4% (CI 6.5-17.3), 24.9% (CI 18.4-32.0), 55.7% (CI 47.8-63.5), and 81.4% (CI 75.9-86.4) for PI-RADS categories 1, 2, 3, 4 and 5, respectively. CONCLUSION: PI-RADS category 3 lesions can significantly impact the DTA of MRI for PC detection. A low prevalence of clinically significant PC is noted in PI-RADS category 1 and 2 cases. ADVANCES IN KNOWLEDGE: Inclusion or exclusion of PI-RADS category 3 lesions impacts the DTA of MRI for PC detection.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Sistemas de Informação em Radiologia Tipo de estudo: Diagnostic_studies / Prevalence_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Imageamento por Ressonância Magnética / Sistemas de Informação em Radiologia Tipo de estudo: Diagnostic_studies / Prevalence_studies / Risk_factors_studies / Systematic_reviews Limite: Humans / Male Idioma: En Ano de publicação: 2021 Tipo de documento: Article