Abstract
OBJECTIVE:
Realistic, safe, and efficient modalities for simulation-based training are highly warranted to enhance the quality of surgical education, and they should be incorporated in resident training. The aim of this study was to develop a patient-specific virtual cerebral aneurysm-clipping simulator with haptic force feedback and real-time deformation of the aneurysm and vessels.
METHODS:
A prototype simulator was developed from 2012 to 2016. Evaluation of virtual clipping by blood flow simulation was integrated in this software, and the prototype was evaluated by 18 neurosurgeons. In 4 patients with different medial cerebral artery aneurysms, virtual clipping was performed after real-life surgery, and surgical results were compared regarding clip application, surgical trajectory, and blood flow.
RESULTS:
After head positioning and craniotomy, bimanual virtual aneurysm clipping with an original forceps was performed. Blood flow simulation demonstrated residual aneurysm filling or branch stenosis. The simulator improved anatomic understanding for 89% of neurosurgeons. Simulation of head positioning and craniotomy was considered realistic by 89% and 94% of users, respectively. Most participants agreed that this simulator should be integrated into neurosurgical education (94%). Our illustrative cases demonstrated that virtual aneurysm surgery was possible using the same trajectory as in real-life cases. Both virtual clipping and blood flow simulation were realistic in broad-based but not calcified aneurysms. Virtual clipping of a calcified aneurysm could be performed using the same surgical trajectory, but not the same clip type.
CONCLUSIONS:
We have successfully developed a virtual aneurysm-clipping simulator. Next, we will prospectively evaluate this device for surgical procedure planning and education.
| Original language | English |
|---|---|
| Pages (from-to) | e313-e323 |
| Number of pages | 11 |
| Journal | World Neurosurgery |
| Volume | 112 |
| DOIs | |
| Publication status | Published - Apr 2018 |
Fields of science
- 303 Health Sciences
- 304 Medical Biotechnology
- 305 Other Human Medicine, Health Sciences
- 301 Medical-Theoretical Sciences, Pharmacy
- 302 Clinical Medicine
- 302051 Neurosurgery
- 302013 Medical diagnostics
- 302043 Magnetic resonance imaging (MRI)
- 302010 Computed tomography (CT)
- 303039 Radiological technology
- 302071 Radiology
- 302070 Radiodiagnostics
JKU Focus areas
- Medical Sciences (in general)
- Health System Research
- Clinical Research on Aging
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