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

Author:

Wadera Akshay1,Alabousi Mostafa1ORCID,Pozdnyakov Alex2,Kashif Al-Ghita Mohammed3,Jafri Ali4,McInnes Matthew DF56,Schieda Nicola6,van der Pol Christian B7,Salameh Jean-Paul8,Samoilov Lucy1,Gusenbauer Kaela,Alabousi Abdullah9

Affiliation:

1. Department of Radiology, McMaster University, Hamilton, ON, Canada

2. Faculty of Medicine, McMaster University, Hamilton, ON, Canada

3. Faculty of Biomedical Sciences, Western University, London, ON, Canada

4. Department of Medicine, New York Institute of Technology School of Osteopathic Medicine, Glen Head, NY, United States

5. The Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, ON, Canada

6. Department of Radiology, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada

7. Department of Radiology, McMaster University, Juravinski Hospital, Hamilton, ON, Canada

8. Department of Medicine, Clinical Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada

9. Department of Radiology, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada

Abstract

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.

Publisher

British Institute of Radiology

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

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