A Predictive Model for Surgical Approach Selection in Robotic Partial Nephrectomy and Its Perioperative Outcomes Based on Single-Center Retrospective Data.

ABSTRACT:

Objectives

To compare the perioperative and postoperative outcomes of transperitoneal and retroperitoneal robotic partial nephrectomy (RPN) and develop a prediction model for reference to select the approach.

Materials and methods

We retrospectively reviewed our single-institutional RPN database. The patients were divided into training and validation sets. In training set, transperitoneal and retroperitoneal cases were matched using propensity score matching to balance confounding factors. The intraoperative and postoperative outcomes of both approaches were compared. A prediction model was constructed to predict the probability of the retroperitoneal approach. The model was then externally validated using the data from the validation set.

Results

A total of 318 patie

SUBMITTER: Shu F 

PROVIDER: S-EPMC11811885 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature