Related Experiment Video
Updated: May 3, 2026
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis
Maarten de Rooij1, Esther H J Hamoen, Jurgen J Fütterer
11 Department of Radiology, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 10, PO Box 9101, Nijmegen, Gelderland 6525 GA, The Netherlands.
Objective:
The purpose of this diagnostic meta-analysis was to determine the diagnostic accuracy of multiparametric MRI for prostate cancer detection using anatomic T2-weighted imaging combined with two functional techniques: diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI).
Materials And Methods:
We searched electronic databases, including MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) up to February 3, 2012. We included diagnostic accuracy studies using a combination of T2-weighted imaging, DWI, and DCE-MRI to detect prostate cancer with histopathologic data from prostatectomy or biopsy as the reference standard. The methodologic quality was assessed with version 2 of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool by two independent reviewers. Sensitivity and specificity of all studies were calculated from 2 × 2 tables, and the results were plotted in a hierarchic summary receiver operating characteristic plot.
Results:
Seven studies that met the inclusion criteria (526 patients) could be analyzed. The pooled data showed a specificity of 0.88 (95% CI, 0.82-0.92) and sensitivity of 0.74 (95% CI, 0.66-0.81) for prostate cancer detection, with negative predictive values (NPVs) ranging from 0.65 to 0.94. Subgroup analyses showed no significant difference between the subgroups.
Conclusion:
The high specificity with variable but high NPVs and sensitivities implies a potential role for multiparametric MRI in detecting prostate cancer.
