Novel Multimodality Imaging for Navigation in Skull Base Surgery
NCT04128345 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20
Last updated 2019-10-16
Summary
Successful neurosurgery to remove tumours around the base of the skull, such as a vestibular schwannoma, depends on achieving maximal tumour removal whilst preserving crucial neurological functions such as facial movement, and maintaining quality of life.
Current techniques to direct surgery are based on the surgeon's expertise and knowledge of the relevant anatomy, supplemented by the use of electrical recording and stimulation of the facial nerve. However, it is often very difficult to visualise the nerve during surgery and facial nerve paralysis remains a potentially devastating complication of surgery.
Advanced imaging methods may be used to visualise important neural connections in the brain and computer-assisted processing can generate tumour maps from MRI and ultrasound scans. This study aims to utilise these technologies to develop a 3D navigation system for skull base surgery.
This study aims to develop a system that will combine MRI and intraoperative ultrasound imaging to enhance the surgeon's view of the tumour, facial nerve and other surrounding critical structures during surgery. This information will be made available in the navigation system in the operating room so that operations are more precise resulting in better tumour removal rates and fewer complications.
The system will be assessed during the treatment of 20 patients with vestibular schwannoma at the National Hospital for Neurology and Neurosurgery. This feasibility study will validate the different parts of the new system and help us design a future research study to determine its effectiveness in improving patient care.
This project will result in safer and more effective neurosurgery, with potential consequent financial savings for the NHS and the UK, in addition to marked improvements in the quality of life of patients and reduced dependency upon others.
Conditions
- Vestibular Schwannoma
Interventions
- DEVICE
-
Use of navigation system
Feasibility assessment of using an integrated navigation system incorporating advanced diffusion MRI, volumentric tumour representation and intraoperative ultrasound
Sponsors & Collaborators
-
University College London Hospitals
collaborator OTHER -
University College, London
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-05-01
- Primary Completion
- 2020-10-31
- Completion
- 2021-05-31
Countries
- United Kingdom
Study Locations
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