The utilization of cranial models created using rapid prototyping techniques in the development of models for navigation training

J Neurol Surg A Cent Eur Neurosurg. 2014 Jan;75(1):12-5. doi: 10.1055/s-0032-1330960. Epub 2013 Jan 11.

Abstract

Introduction: Navigation in neurosurgery has expanded rapidly; however, suitable models to train end users to use the myriad software and hardware that come with these systems are lacking. Utilizing three-dimensional (3D) industrial rapid prototyping processes, we have been able to create models using actual computed tomography (CT) data from patients with pathology and use these models to simulate a variety of commonly performed neurosurgical procedures with navigation systems.

Aim: To assess the possibility of utilizing models created from CT scan dataset obtained from patients with cranial pathology to simulate common neurosurgical procedures using navigation systems.

Methodology: Three patients with pathology were selected (hydrocephalus, right frontal cortical lesion, and midline clival meningioma). CT scan data following an image-guidance surgery protocol in DIACOM format and a Rapid Prototyping Machine were taken to create the necessary printed model with the corresponding pathology embedded. The ability in registration, planning, and navigation of two navigation systems using a variety of software and hardware provided by these platforms was assessed.

Results: We were able to register all models accurately using both navigation systems and perform the necessary simulations as planned.

Conclusion: Models with pathology utilizing 3D rapid prototyping techniques accurately reflect data of actual patients and can be used in the simulation of neurosurgical operations using navigation systems.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain / diagnostic imaging
  • Brain / surgery*
  • Humans
  • Models, Anatomic*
  • Neuronavigation / methods*
  • Radiography
  • Skull / diagnostic imaging
  • Skull / surgery*
  • Surgery, Computer-Assisted / methods*