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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 key neurosurgical skill. The model demonstrated high face and content validity for trainee surgeons, regardless of skill level.
Area of Science:
- Neurosurgery Simulation
- Surgical Education Technology
Background:
- Subpial corticectomy is a critical neurosurgical skill requiring precise lesion resection while preserving delicate brain structures.
- Mastering this bimanual task is essential for neurosurgical trainees.
- Current training methods may lack objective assessment of instrument movement.
Purpose of the Study:
- To develop an ex vivo calf brain corticectomy simulation model.
- To incorporate continuous assessment of surgical instrument movement.
- To evaluate the face and content validity of the simulation model.
Main Methods:
- Development of an ex vivo calf brain model for subpial corticectomy simulation.
- Trainees performed simulated resections in three defined areas.
- Face and content validity were assessed using 7-point Likert scale questionnaires in a case series.
Main Results:
- The study included 12 skilled and 11 less skilled participants.
- Median face validity score was 6.0 (range 4.0-6.0).
- Median content validity score was 6.0 (range 3.5-7.0).
- No statistically significant differences in validity scores were found between skilled and less skilled groups.
Conclusions:
- A novel ex vivo calf brain simulator was successfully developed.
- The simulator effectively replicates the subpial resection procedure.
- The model demonstrated strong face and content validity, supporting its utility in surgical training.
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