Predicting collecting system transection at laparoscopic partial nephrectomy: analysis of tumor parameters

Area of Science:

• Urology
• Surgical Oncology
• Renal Surgery

Background:

• Repair of the renal collecting system (CS) during laparoscopic partial nephrectomy (LPN) is technically demanding and increases renal ischemia time.
• Predicting CS transection is crucial for optimizing preoperative planning and surgical strategy in LPN.

Purpose of the Study:

• To identify specific tumor parameters that predict the likelihood of collecting system (CS) transection during laparoscopic partial nephrectomy (LPN).
• To improve preoperative planning for LPN by understanding risk factors for CS injury.

Main Methods:

• Prospective data collection from 165 LPN cases performed by a single surgeon.
• Analysis of tumor parameters including size, radiographic appearance (solid vs. cystic), polar location, and depth.
• Univariate, multivariate logistic regression, and Classification and Regression Tree (CART) analyses were employed.

Main Results:

• Tumor size and solid appearance were statistically significant predictors of CS transection in both univariate and multivariate analyses.
• A tumor size cutoff of 2.5 cm was identified as optimal by CART analysis.
• Solid tumors demonstrated a higher likelihood of CS transection compared to cystic tumors.

Conclusions:

• Tumor size and solid appearance are independent predictors of CS transection during LPN.
• The risk of CS transection increases significantly with tumor size, particularly for tumors exceeding 2.5 cm.
• These findings provide valuable insights for preoperative planning and risk assessment in LPN procedures.