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.
Study Type
OBSERVATIONAL
Enrollment
20
Feasibility assessment of using an integrated navigation system incorporating advanced diffusion MRI, volumentric tumour representation and intraoperative ultrasound
University College London/University College London Hospitals Joint Research Office
London, United Kingdom
RECRUITINGTo assess the functionality and performance of a 3D surgical technical platform for integrating data from 3 different data sources (MRI, US and Neuronavigation data) in a clinical setting using a composite of quantitative and qualitative measurements
Composite of quantitative and qualitative measurements to assess the system's functionality and technical performance
Time frame: Data will be collected on the date of patients' routine surgical procedure, assessed on 1 day from the start time (hh:hh) of set-up of the 3d surgical platform to the end time (hh:hh) of surgery
Correlation of electromyographic stimulation of facial nerve with preoperatively acquired diffusion imaging
Stimulation response (binary outcome) and amplitude (mA)
Time frame: A minimum of 9 time points (selected at random) during each surgical procedure, assessed on 1 day from the start time (hh:hh) to the end time (hh:hh) of surgery
Postoperative tumour volume on contrast-enhanced MRI and its correlation with the final intraoperative ultrasound measurement
Tumour volume (cm3) on MRI and US
Time frame: Final intraoperative US volume vs post op MRI volume (within 3 months)
Average duration of surgical procedure using 3D navigation system
Time (hours)
Time frame: From start time to end time of each surgical procedure, assessed on 1 day
Documentation of technical system issues and implemented solutions
Documentation of technical system issues and implemented solutions (using qualitative research methods)
Time frame: From start time to end time of each surgical procedure, assessed on 1 day
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