Applicability of abbreviated biparametric MRI for detection of suspected prostate cancer: Comparative study to standard multiparametric MRI using PI-RADS V2.1 | ||
| Zagazig University Medical Journal | ||
| Article 17, Volume 30, Issue 1.2, January and February 2024, Pages 129-137 PDF (764.04 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/zumj.2022.118671.2463 | ||
| Authors | ||
| Emad Hassan Emara1; Noha Ebaid2; Ibrahim Eladl2; haitham Foda* 1 | ||
| 1Radiology department, faculty of medicine, Kafrelsheikh University, Egypt | ||
| 2Radiology department, faculty of medicine, Zagazig University, Egypt | ||
| Abstract | ||
| Background: The abbreviated biparametric MRI (bpMRI) uses T2 and diffusion-weighted images without dynamic contrast-enhancement (DCE-MRI) to avoid the adverse effects, reduce testing time and cost, compared to multiparametric MRI (mpMRI). Its capability to detect prostate cancer with the Prostate Imaging and Reporting Data System version 2.1 needs more comprehensive studies. Purpose: To assess the reliability and diagnostic performance of the abbreviated bpMRI in the detection of prostate cancer using 3.0 tesla machine, compared to standard mpMRI using PI-RADS v2.1 Methods: Using 3.0T MRI machine, 180 biopsy-naïve patients suspected of prostatic cancer underwent an abbreviated bpMRI, then, the standard mpMRI was completed by DCE-MRI. Four experienced uroradiologists independently assessed each suspected PC lesion and the diagnostic performances of the two approaches were analyzed. Finally, transrectal US-guided targeted 12-core biopsies were performed for histopathology. Results: In this patient-based analysis, the mpMRI showed higher detection rates than the bpMRI approach, when considering category-three lesions as benign, with sensitivity, specificity, accuracy, positive and negative predictive values of 88.57%, 96%, 91.7%, 96.8%, 85.7% for the mpMRI protocol vs. 57.14%, 92%, 71.7%, 90.9%, 60.5% for the bpMRI protocol, respectively (P | ||
| Keywords | ||
| biparametric; magnetic resonance imaging; multi-parametric; prostate cancer; Prostate Imaging Reporting and Data System version 2.1 | ||
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