Abstract
Background: Angiography is a diagnostic and interventional technique in (endo)vascular neurosurgery that demands a high level of precision and technical expertise. Traditionally, mastery of angiographic techniques has relied on hands-on training, often limited by patient availability and procedural complexity. This study aims to investigate the effectiveness of simulator-based training for angiography, determining its role in enhancing procedural proficiency and its potential integration into a neuroendovascular training curriculum. Research question: Is a simulator-based training for neuroangiography effective ? Materials and methods: Participants (22 trainees and 10 experts) were recruited in neurosurgical departments from four international university hospitals. After a familiarization session, each participant performed 6 attempts of diagnostic angiography and 3 attempts of coiling on an Angio mentor endovascular simulator. Data gathered were procedure time, fluoroscopy time, amount of contrast injected, number of roadmap sequences and number of errors. The learning curve was studied and contrasting group assessment was performed. Results: There was a clear steep improvement for all parameters in the learning curve which flattens out as the trainees master angiography and coiling. Trainees had a notable reduction in procedure time, approaching the experts' levels after sixth and seventh attempt of diagnostic angiography. The contrasting group assessment demonstrated discriminating results of experts compared to trainees and a distinctly increasing overlap between trainees and experts with increasing number of attempts. Discussion and conclusions: Endovascular simulators enable skill acquisition in a controlled environment, enhancing technical proficiency in neuroendovascular coiling and angiography, and should play a role in neuroendovascular training.
| Original language | English |
|---|---|
| Article number | 105931 |
| Journal | Brain and Spine |
| Volume | 6 |
| ISSN | 2772-5294 |
| DOIs | |
| Publication status | Published - Jan 2026 |
Keywords
- Angiography
- Neurosurgical training
- Simulator
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