The assessment of vestibular schwannomas (VS) requires a standardized approach as growth is a key element in defining treatment strategy. Volumetric measurements offer higher sensitivity and precision, but existing methods of image segmentation, are labour-intensive and prone to variability....
No actionable change — this is a consensus protocol paper establishing methodology; clinical AI standards for vestibular schwannoma management have not yet been finalised.
Standardising AI-based volumetric measurement of vestibular schwannomas could reduce inter-centre variability in management decisions and accelerate reliable AI adoption in neuro-otology.
- 01A modified Delphi consensus process is being developed to standardise AI use in vestibular schwannoma management.
- 02Focus includes both clinical management decisions and volumetric (size) measurement of tumours.
- 03Published as a protocol paper in Neuroradiology, so final consensus recommendations are pending.
- 04Involvement of multidisciplinary experts is implied by the Delphi methodology.
- 05Addresses a gap in standardisation as AI tools proliferate in skull-base imaging.
There is currently no standardised approach to using AI for vestibular schwannoma management and volumetric measurement.
opinionpartially supported- PMID
- 42337091
- DOI
- 10.1007/s00234-026-04063-z.
- Journal
- Neuroradiology
- Publication type
- research_article
- Evidence level
- 5
- Population
- Expert panel involved in vestibular schwannoma management and AI measurement
- Intervention
- Artificial intelligence for vestibular schwannoma management and volumetric measurement
Primary outcomes
Expert consensus statements on standardised AI use in vestibular schwannoma management; Consensus on AI-based volumetric measurement methodology
