Investig Clin Urol.  2021 Jul;62(4):423-429. 10.4111/icu.20200605.

Possible clinical implications of prostate capsule thickness and glandular epithelial cell density in benign prostate hyperplasia

• Holder KG
• Galvan B
• Knight AS
• Ha F
• Collins R
• Weaver PE
• Brandi L
• Riese WTd

• KMID: 2516922
• DOI: http://doi.org/10.4111/icu.20200605

Abstract

Purpose
The negative correlation between BPH-size and incidence of prostate cancer (PCa) is well-documented in the literature, however the exact mechanism is not well-understood. The present study uses histo-anatomical imaging to study prostate volume in correlation to prostate capsule thickness, and glandular epithelial cell density within the peripheral zone (PZ).
Materials and Methods
Specimens were selected from radical prostatectomies ranging from 20 to 160 mL based on ease of anatomical reconstruction by the slides. A total of 60 patients were selected and underwent quantitative measurements of prostate capsule thickness and glandular epithelial density within the PZ using computer-based imaging software. Pearson’s correlation and a stepwise multiple linear regression analysis was conducted to determine the relationship between these measured parameters and the clinical characteristic of these patients.
Results
Pearson’s correlation analysis revealed a strongly significant, negative correlation between prostate volume and glandular epithelial cell density (r(58)=-0.554, p<0.001), and a strongly significant, positive correlation between prostate volume and average capsule thickness (r(58)=0.462, p<0.001). Results of multiple regression analysis showed that average glandular epithelial cell density added statistically to this prediction (p<0.05).
Conclusions
The results suggest that growth of the transition zone in BPH causes increased fibrosis of the PZ, leading to atrophy and fibrosis of glandular cells. As 80% of PCa originates from the glandular epithelium within the PZ, this observed phenomenon may explain the inverse correlation between BPH and PCa that is well-documented in the literature.

Keyword

Image processing; Prostate; Prostatic hyperplasia