The current evidence on surgical management for synchronous bilateral renal tumors: results from a scoping review

Carlo Giulioni1, Martina Maggi2, Giacomo Maria Pirola3

  • 1Urology Unit, Department of Urology, Azienda Ospedaliero-Universitaria Delle Marche, Polytechnic University of Marche, 71 Conca Street, 60126, Ancona, Italy. carlo.giulioni9@gmail.com.

PubMed
Abstract

Insights

For synchronous bilateral renal masses (SBRM), partial nephrectomy (PN) is the preferred surgical approach. Robot-assisted surgery offers lower comorbidities, and same-sitting PN is a safe option, preserving renal function.

Area of Science:

  • Urology
  • Surgical Oncology
  • Nephrology

Background:

  • Synchronous bilateral renal masses (SBRM) are rare kidney tumors with no established management guidelines.
  • Optimal surgical strategy for SBRM requires careful consideration of tumor characteristics and patient factors.

Purpose of the Study:

  • To review existing evidence on the optimal surgical approach for SBRM.
  • To compare different surgical techniques and timings for managing SBRM.

Main Methods:

  • Comprehensive literature search conducted in January 2023 across Scopus, PubMed, and EMBASE.
  • Inclusion criteria: English-language studies on adult patients; exclusion of meeting abstracts.
  • Analysis of 24 selected papers on SBRM management.

Main Results:

  • SBRM exhibit less aggressive behavior compared to metachronous tumors.
  • Partial nephrectomy (PN) is the preferred option for preserving renal function.
  • Oncological outcomes are comparable across open, laparoscopic, and robot-assisted PN; robot-assisted surgery shows fewer comorbidities.
  • Same-sitting PN, especially robot-assisted, is a safe approach.
  • Same-sitting and staged nephron-sparing surgery (NSS) demonstrate similar renal function preservation.

Conclusions:

  • Partial nephrectomy (PN) is the recommended treatment for SBRM when feasible and patient condition permits.
  • Surgeon expertise is a critical factor in selecting the surgical approach for SBRM.