A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy

Area of Science:

• Urology
• Surgical Oncology
• Medical Statistics

Background:

• Extracapsular extension (ECE) is a critical factor in prostate cancer staging and surgical planning.
• Accurate estimation of ECE is essential for determining the feasibility of nerve-sparing (NS) approaches during radical prostatectomy (RP).

Purpose of the Study:

• To develop a statistical tool for estimating the level of extracapsular extension (ECE) in prostate cancer.
• To aid surgeons in determining the appropriate nerve-sparing (NS) approach during robot-assisted radical prostatectomy (RP).

Main Methods:

• Analysis of 11,794 lobes from 6,360 patients undergoing robot-assisted RP (2008-2016).
• Development of a statistical algorithm using clinicopathological features to predict maximum ECE width.
• Estimation of five multivariable logistic models for ECE presence and width (>1, >2, >3, >4 mm).

Main Results:

• ECE was present in 11.4% of lobes, with significant extension (>4 mm) in 0.8% of cases.
• The logistic models demonstrated good predictive performance, with areas under the ROC curve ranging from 0.81 to 0.90.
• A five-zone decision rule was proposed to guide surgical planning.

Conclusions:

• The developed statistical tool accurately predicts the presence and extent of ECE.
• A graphical interface (www.prece.it) supports surgeons in preoperative planning and patient counseling.
• This tool enhances decision-making for nerve-sparing radical prostatectomy in prostate cancer patients.