Related Experiment Video
Updated: Jun 12, 2026

08:08
Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
Patient-specific simulation for endovascular procedures: qualitative evaluation of the development process
W I M Willaert1, R Aggarwal, D F Nestel
1Department of Biosurgery and Surgical Technology, St. Mary's Hospital, Imperial College, London, UK. w.willaert@imperial.ac.uk
Summary
Patient-specific simulation for carotid artery stenting (CAS) is feasible. Transferring CT data to simulators allows for realistic pre-procedure rehearsals, rated highly by experts for training potential.
Area of Science:
- Medical Simulation
- Interventional Cardiology
- Medical Imaging
Background:
- Simulation technology enables patient-specific rehearsal of carotid artery stenting (CAS).
- This study assesses the feasibility of using patient-specific CT data for simulator-based procedural rehearsal.
- The face validity of the developed simulation model was evaluated.
Purpose of the Study:
- To evaluate the feasibility of transferring patient-specific CT data into a simulator for carotid artery stenting (CAS) rehearsal.
- To assess the face validity and training potential of the patient-specific simulation model.
- To identify key factors influencing the setup time for simulation rehearsals.
Main Methods:
- Qualitative data analysis to generate an algorithm for simulation setup.
- Thematic analysis focusing on data transfer, software compatibility, and problem-solving.
- Face validity assessment by 15 expert interventionalists using a 5-point Likert scale.
Main Results:
- An algorithm for simulation setup was generated.
- Expert interventionalists rated the realism (median 4/5), training potential (median 4/5), and rehearsal potential for challenging CAS cases (median 4/5) highly.
- No major software compatibility issues were reported.
Conclusions:
- Patient-specific simulation setup for carotid artery stenting (CAS) is feasible and reproducible across different settings.
- The time required for 3D reconstruction from patient-specific CT data is a significant factor in total setup time.
- The simulation model demonstrates high face validity, indicating its potential as a valuable training tool.

