Validation of a surgical simulator and establishment of quantitative performance thresholds–RealSpine simulation system for open lumbar decompressions
Real-world surgical ability and experience can be accurately predicted by defining objective quantitative thresholds on high-fidelity simulations. The thresholds established here, along with other data presented in this paper, may inform objectives and standards to be established in a spinal surgical training curriculum.
Authors
- Danyal Z. Khan (ORCID: https://orcid.org/0000-0001-9213-2550)
- James Booker (ORCID: https://orcid.org/0000-0001-7588-2827)
- Hugo Layard Horsfall (ORCID: https://orcid.org/0000-0001-7848-5325)
- David Choi (ORCID: https://orcid.org/0000-0002-3320-6609)
- George Prezerakos
- Hani Joseph Marcus (ORCID: https://orcid.org/0000-0001-8000-392X)
- Sogha Khawari (ORCID: https://orcid.org/0000-0002-5156-2359)
- Chan Hee Koh (ORCID: https://orcid.org/0000-0001-5013-1664)
- Parag Sayal
Institutions
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
Publication Details
- Journal
- The Spine Journal
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.spinee.2024.08.017
- Citations
- 4
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.29
Funders
- Cleveland Clinic
- Wellcome Trust
- Cancer Research UK
- National Institute for Health and Care Research
- University College London
- Engineering and Physical Sciences Research Council