Identification of Recurrent Anatomical Clusters Using Three-dimensional Virtual Models for Complex Renal Tumors with

Daniele Amparore1,2, Federico Piramide1, Angela Pecoraro1,2

  • 1Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.

Abstract

Insights

Three-dimensional virtual models aid surgical planning for complex kidney tumors requiring nephron-sparing surgery. These models help define optimal strategies to preserve kidney function in challenging cases.

Area of Science:

  • Urology
  • Surgical Oncology
  • Medical Imaging

Background:

  • Nephron-sparing surgery (NSS) is crucial for renal tumors in patients with chronic kidney disease or bilateral tumors.
  • Complex renal masses necessitate precise surgical planning to maximize kidney preservation.

Purpose of the Study:

  • To evaluate the utility of three-dimensional virtual models (3DVMs) in planning NSS for high-complexity renal masses.
  • To assess the effectiveness of 3DVM-assisted surgical strategy development.

Main Methods:

  • Prospective selection of three patients with high-complexity renal masses and imperative indication for NSS.
  • Creation of 3DVMs from contrast-enhanced computed tomography scans.
  • Robot-assisted partial nephrectomy utilizing 3DVM augmented reality guidance.

Main Results:

  • 3DVMs revealed complex anatomical features, including independent vascularization in some cases.
  • Surgical strategies were adapted based on 3DVM insights, with varying degrees of upper pole resection.
  • Intraoperative assessments confirmed preserved vascularization in remaining kidney portions.

Conclusions:

  • Three-dimensional virtual models are valuable tools for planning surgical strategies for complex renal masses.
  • 3DVMs facilitate a detailed understanding of anatomical characteristics for optimizing NSS outcomes.