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Updated: Apr 30, 2026

Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
High-resolution angioscopic imaging during endovascular neurosurgery.
Patrick Z McVeigh1, Raphael Sacho, Robert A Weersink
1*Department of Medical Biophysics, University of Toronto; ‡Department of Medical Imaging, Toronto Western Hospital, University Health Network; §Radiation Medicine Program, Princess Margaret Cancer Centre; ¶Techna Institute, University Health Network, Toronto, Ontario, Canada; ‖Department of Medical Imaging, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada; #Department of Mechanical Engineering, University of Washington, Seattle, Washington; **Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
High-resolution scanning fiber endoscope (SFE) angioscopy offers new insights during neurointerventional procedures. This advanced imaging provides critical data beyond traditional methods for vascular inspection and device evaluation.
Area of Science:
- Neurosurgery
- Endovascular Procedures
- Medical Imaging
Background:
- Traditional angioscopy has limited use in neurointerventional procedures due to poor resolution.
- Scanning Fiber Endoscopes (SFEs) offer a novel, high-resolution imaging solution in a miniature form factor compatible with existing catheters.
Purpose of the Study:
- To evaluate the feasibility and utility of SFE-based high-resolution angioscopy.
- To assess its application in common endovascular neurosurgical procedures.
Main Methods:
- A 3.7-French SFE was utilized in a porcine model.
- Imaging was performed during procedures including aneurysm coiling and mechanical thrombectomy.
Main Results:
- High-resolution, video-rate imaging was achieved during all tested neurointerventional procedures.
- SFE angioscopy provided complementary information to fluoroscopy, assessing factors like aneurysm coverage and side branch patency.
Conclusions:
- SFE endovascular imaging offers crucial data not obtainable via fluoroscopy.
- This technology serves as a platform for future neurointerventional techniques, enabling periprocedural assessment of vascular integrity and device performance.
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