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Topographical anatomy of periprostatic and capsular nerves: quantification and computerised planimetry
Roman Ganzer1, Andreas Blana, Andreas Gaumann
1Department of Urology, University of Regensburg, Krankenhaus St. Josef, Regensburg, Germany.
European Urology
|April 26, 2008
Summary
Periprostatic autonomic nerves are most abundant dorsolaterally and ventrolaterally, decreasing in surface area from the prostate base to apex. Nerve planimetry reveals this distribution, unlike simple nerve counting.
Area of Science:
- Urology
- Anatomy
- Surgical Pathology
Background:
- The precise distribution of periprostatic autonomic nerves remains a subject of ongoing research and debate.
- Understanding this anatomy is crucial for nerve-sparing surgical techniques.
Purpose of the Study:
- To investigate the topographical anatomy of autonomic nerves within the periprostatic tissue and prostate capsule (CAP).
- To map the distribution and surface area of these nerves in different prostate regions.
Main Methods:
- Whole-mount prostate sections from 30 radical prostatectomy specimens were analyzed using immunohistochemical nerve staining.
- Sections were evaluated from the base, middle, and apex, divided into 12 sectors and grouped into ventral, ventrolateral, dorsolateral, and dorsal regions.
- Computerized planimetry quantified the total periprostatic nerve surface area in each region.
Main Results:
- A significant decrease in total periprostatic nerve surface area was observed from the base (241.79 mm²) to the apex (89.50 mm²).
- The dorsolateral region showed the highest percentage of nerve surface area (74.5–84.1%), with significant contributions from ventrolateral and dorsal positions.
- The ratio of periprostatic nerves to capsular nerves decreased from base (3.6) to apex (1.9).
Conclusions:
- Periprostatic nerve distribution is variable, with a notable concentration in ventrolateral and dorsal aspects.
- Total nerve surface area diminishes towards the prostate apex as nerves branch into the gland.
- Nerve planimetry is essential for accurately assessing periprostatic nerve distribution, surpassing simple nerve quantification.
