Basis for error in stereotactic and computer-assisted surgery in neurosurgical applications: literature review

Neurosurg Rev. 2022 Dec 20;46(1):20. doi: 10.1007/s10143-022-01928-8.

Abstract

Technological advancements in optoelectronic motion capture systems have allowed for the development of high-precision computer-assisted surgery (CAS) used in cranial and spinal surgical procedures. Errors generated sequentially throughout the chain of components of CAS may have cumulative effect on the accuracy of implant and instrumentation placement - potentially affecting patient outcomes. Navigational integrity and maintenance of fidelity of optoelectronic data is the cornerstone of CAS. Error reporting measures vary between studies. Understanding error generation, mechanisms of propagation, and how they relate to workflow can assist clinicians in error mitigation and improve accuracy during navigation in neurosurgical procedures. Diligence in planning, fiducial positioning, system registration, and intra-operative workflow have the potential to improve accuracy and decrease disparity between planned and final instrumentation and implant position. This study reviews the potential errors associated with each step in computer-assisted surgery and provides a basis for disparity in intrinsic accuracy versus achieved accuracy in the clinical operative environment.

Keywords: Experimental error; Intra-operative workflow; Neuronavigation; Reproducibility of results; Robotic-assisted surgery; Stereotactic.

Publication types

  • Review

MeSH terms

  • Humans
  • Imaging, Three-Dimensional / methods
  • Neurosurgical Procedures / methods
  • Skull
  • Surgery, Computer-Assisted* / methods