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Updated: Sep 5, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Value of 3D-presumed circular area ratio in MRI assessment of benign prostatic hyperplasia
Jianli Yang1, Wenwei Shi2, Hao Xie3
1Department of Radiology, Changji Branch of the First Affiliated Hospital of Xinjiang Medical University, Changji, 831100, China.
Objectives:
To quantitatively assess morphological alterations in benign prostatic hyperplasia (BPH) using MRI-based three-dimensional presumed circular area ratio (3D-PCAR), and to explore its correlation with International Prostate Symptom Score (IPSS).
Materials & Methods:
A total of 335 patients with pathologically confirmed BPH who underwent preoperative prostate MRI and completed IPSS questionnaire were retrospectively analyzed. MRI-derived volume parameters included total prostate volume (TPV), transition zone volume (TZV), and transition zone index (TZI, TZI = TZV / TPV); morphological parameters included intravesical prostatic protrusion (IPP), PCAR (axial, coronal, and sagittal), and peripheral zone thickness (PZ-thickness). Correlations between MRI-derived parameters and total IPSS, IPSS storage sub-score (IPSS-ss) and IPSS voiding sub-score (IPSS-vs) were analyzed using Pearson correlation, one-way analysis of variance (ANOVA) and multivariable regression.
Results:
All MRI parameters showed significant correlations with IPSS scores (all p < 0.05). Positive correlations with IPSS were observed for IPP, TPV, TZV, TZI, and PCAR (r = 0.18-0.59), whereas PZ-thickness showed negative correlations (r = - 0.18 to - 0.24). Among the evaluated MRI-derived parameters, PCAR measurements in all three planes demonstrated moderate-to-strong correlations with IPSS (axial r = 0.485, 0.474, 0.405; coronal r = 0.592, 0.553, 0.524; sagittal r = 0.545, 0.508, 0.484, all p < 0.001) and remained significant predictors of IPSS in multivariable analyses (p < 0.05).
Conclusion:
3D-PCAR reflects prostate sphericity and correlates with symptom severity in BPH, demonstrating potential as a novel non-invasive imaging biomarker for evaluating intraprostatic pressure and urinary symptoms.
