Live Webinar
Modern Management of Vestibular Schwannoma
Decision Making for Small and Medium Sized Tumours
5th June 2025 | 17:30-18:30 (BST)
17:30
Introduction
Live Webinar lead by:
Mr Patrick Grover
Consultant Skull Base and Vascular Neurosurgeon, National Hospital for Neurology and Neurosurgery (NHNN), Queen Square Radiosurgery Centre
Prof Shakeel Saeed
Consultant ENT and Skull base Surgeon, The Royal National ENT Hospital and National Hospital for Neurology and Neurosurgery (NHNN)
Mr Matthias Radatz
Consultant Neurosurgeon, Sheffield Teaching NHS Hospital, Thornbury Radiosurgery Centre
Topic
This webinar will explore the current management workflow for small and medium-sized vestibular schwannomas. It will address ongoing debates around different treatment approaches, providing a platform for critical discussion. The session will also highlight the emerging role of AI and technology in improving vestibular schwannoma care in the future.
Learning Objectives
1. Understand the decision-making pathway for current vestibular schwannoma practice, and the reasoning behind treatment decisions.
2. To gain knowledge of the AI and technology tools that may change practice in the coming years.
This event is worth 2 CPD points
Agenda
Faculty
Mr Patrick Grover
Mr Patrick Grover is a Consultant Skull Base & Vascular Neurosurgeon and Cranial Neurosurgery Lead at the National Hospital for Neurology and Neurosurgery (NHNN). A graduate of the University of Oxford with degrees in Biological Sciences, Neurosciences, and Medicine, Mr Grover trained at Imperial College, the Royal London Hospital, and Great Ormond Street Hospital, followed by fellowship training at NHNN. He is an active researcher in cavernomas, aneurysm and AVM registries, and AI applications in skull base surgery. He also contributes to neurosurgical education as Course Director for the Queen Square Neurosurgery Review Course and co-lead for the London Brain School.
Prof Shakeel Saeed
Professor Shakeel Saeed is a leading expert in Otology and Neuro-Otology, holding the prestigious University Chair at University College London’s Ear Institute. A graduate of King’s College London (1985), he earned his Doctorate in 2003. With over 20 years of experience as a Consultant ENT and Skull Base Surgeon, he specializes in complex ear conditions across all age groups. Since 2012, he has served as Divisional Clinical Director at the Royal National Throat, Nose and Ear Hospital, overseeing its transition to a new facility. A past President of the European Academy of Otology and Neurotology, Professor Saeed is a leading researcher, educator, and clinical innovator, with over 110 peer-reviewed publications and significant contributions to advancements in otology.
Mr Matthias Radatz
Mr Matthias Radatz is a Consultant Neurosurgeon at Sheffield Teaching Hospitals NHS Foundation Trust and Medical Director of the Thornbury Radiosurgery Centre. A graduate of the Free University of Berlin (1991), he completed advanced neurosurgical training in Berlin, Sheffield, and Oxford. With over 20 years of consultant experience, he specializes in Gamma Knife stereotactic radiosurgery for brain and pituitary tumours, cavernomas, glioblastomas, AVMs, meningiomas, and metastases. Mr Radatz previously served as Clinical Director of the National Centre for Stereotactic Radiosurgery and chaired the NHS England SRS Clinical Reference Group. A past President of the British Radiosurgery Society, he is also an Honorary Senior Lecturer at the University of Sheffield and has published extensively on radiosurgery and neurosurgical innovation.
Key References
Diffusion MRI of the facial-vestibulocochlear nerve complex: a prospective clinical validation study
Shapey J, Vos SB, Mancini L, Sanders B, Thornton JS, Tournier JD, Saeed SR, Kitchen N, Khalil S, Grover P, Bradford R, Dorent R, Sparks R, Vercauteren T, Yousry T, Bisdas S, Ourselin S. Diffusion MRI of the facial-vestibulocochlear nerve complex: a prospective clinical validation study. Eur Radiol. 2023 Nov;33(11):8067-8076. doi: 10.1007/s00330-023-09736-4. Epub 2023 Jun 17. PMID: 37328641; PMCID: PMC10598116
Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools
Shapey J, Kujawa A, Dorent R, Saeed SR, Kitchen N, Obholzer R, Ourselin S, Vercauteren T, Thomas NWM. Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools. World Neurosurg. 2021 May;149:269-270. doi: 10.1016/j.wneu.2021.03.010. PMID: 33940676.
Upfront Radiosurgery vs a Wait-and-Scan Approach for Small- or Medium-Sized Vestibular Schwannoma
Dhayalan D, Tveiten ØV, Finnkirk M, Storstein A, Hufthammer KO, Goplen FK, Lund-Johansen M; V-REX Trial investigators. Upfront Radiosurgery vs a Wait-and-Scan Approach for Small- or Medium-Sized Vestibular Schwannoma: The V-REX Randomized Clinical Trial. JAMA. 2023 Aug 1;330(5):421-431. doi: 10.1001/jama.2023.12222. PMID: 37526718; PMCID: PMC10394573
Mapping the Clinical Pathway for Patients Undergoing Vestibular Schwannoma Resection
Sinha S, Williams SC, Hanrahan JG, Muirhead WR, Booker J, Khalil S, Kitchen N, Newall N, Obholzer R, Saeed SR, Marcus HJ, Grover P. Mapping the Clinical Pathway for Patients Undergoing Vestibular Schwannoma Resection. World Neurosurg. 2024 Oct;190:e459-e467. doi: 10.1016/j.wneu.2024.07.157. Epub 2024 Jul 27. PMID: 39074584.
Generating operative workflows for vestibular schwannoma resection: a two-stage Delphi consensus in collaboration with British Skull Base Society
Layard Horsfall H, Khan DZ, Collins J, Cooke S, Freeman SR, Gurusinghe N, Hampton S, Hardwidge C, Irving R, Kitchen N, King A, Khalil S, Koh CH, Leonard C, Marcus HJ, Muirhead W, Obholzer R, Pathmanaban O, Robertson IJA, Shapey J, Stoyanov D, Teo M, Tysome JR, Saeed SR, Grover P. Generating Operative Workflows for Vestibular Schwannoma Resection: A Two-Stage Delphi’s Consensus in Collaboration with the British Skull Base Society. Part 1: The Retrosigmoid Approach. J Neurol Surg B Skull Base. 2022 Oct 10;84(5):423-432. doi: 10.1055/a-1886-5500. PMID: 37671298; PMCID: PMC10477012.
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