3D-printed models and virtual reality as new tools for image-guided robot-assisted nephron-sparing surgery: a systematic review of the newest evidences

Curr Opin Urol. 2020 Jan;30(1):55-64. doi: 10.1097/MOU.0000000000000686.

Abstract

Purpose of review: Nowadays, kidney cancer surgery has been focusing on a patient-tailored management, expanding the indication to nephron-sparing surgery (NSS). Starting from computer tomography images, 3D models can be created, allowing a never experienced before understanding of surgical anatomy. Once obtained the models can be printed or virtually visualized with the aid to assist the surgeon in preoperative planning and simulation or intraoperative navigation. The aim of this systematic review is to assess the preoperative and intraoperative impact of 3D printed and virtual imaging for robotic NSS.

Recent findings: Ten articles were found to meet the inclusion criteria and reviewed. An 'intermediate' score was assessed to the overall articles' quality. A moderate/high risk of bias was recorded for all the studies.

Summary: 3D-printed models were considered to be more useful during both preoperative simulations and patients' counseling. These models guaranteed a better comprehension of anatomical structures and surgical procedure. Costs and quality of the materials available represent the two main limits of this developing technology.Instead, in a virtual reality setting the preoperative planning was enhanced by using 3D virtual models in a mixed reality environment. Intraoperatively, the possibility to overlap the 3D model to real anatomy allowed augmented reality procedures. This technology is still a 'newborn' and is constantly evolving, expanding day by day the range of its potential applications.

Publication types

  • Systematic Review

MeSH terms

  • Humans
  • Imaging, Three-Dimensional / methods*
  • Models, Anatomic
  • Nephrons / diagnostic imaging*
  • Organ Sparing Treatments / methods*
  • Printing, Three-Dimensional*
  • Robotics*
  • Surgery, Computer-Assisted / methods*
  • Virtual Reality*