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Continuous Instrument Tracking in a Cerebral Corticectomy Ex Vivo Calf Brain Simulation Model: Face and Content
Abdulrahman Almansouri1,2, Nour Abou Hamdan1, Recai Yilmaz1
1Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
A new ex vivo calf brain simulator effectively replicates subpial corticectomy, a crucial neurosurgical skill. The model demonstrated strong face and content validity for surgical training, with no significant differences between skilled and less skilled participants.
Area of Science:
- Neurosurgery
- Surgical Simulation
- Medical Education
Background:
- Subpial corticectomy is a complex neurosurgical procedure requiring precise technique.
- Mastery of this bimanual task is essential for neurosurgical trainees.
- Current training methods may lack adequate simulation for this specific procedure.
Purpose of the Study:
- To develop an ex vivo calf brain corticectomy simulation model.
- To assess the face and content validity of this novel simulation.
- To evaluate the utility of the training platform for neurosurgical education.
Main Methods:
- Development of an ex vivo calf brain model for subpial corticectomy simulation.
- Trainees performed simulated subpial resections in three defined areas.
- A case series study utilized 7-point Likert scale questionnaires to assess validity.
Main Results:
- The simulation model demonstrated high face and content validity.
- Median scores for face validity were 6.0 (range 4.0-6.0).
- Median scores for content validity were 6.0 (range 3.5-7.0).
Conclusions:
- A novel ex vivo calf brain simulator was successfully developed.
- The simulator effectively replicates the subpial resection procedure.
- The model possesses demonstrated face and content validity for surgical training.
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