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Automated measurements of vestibular schwannomas on MRI scans

Prospective validation of AI-VS, an in-house developed AI-software for automated segmentation and diameter and volume measurements of vestibular schwannomas on MRI scans. - Prospective validation of AI-VS

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON58197
Enrollment
150
Registered
2025-03-28
Start date
2026-01-15
Completion date
Unknown
Last updated
2026-04-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Vestibular schwannoma, acoustic neuroma, schwannoma of the vestibulocochlear nerve Vestibular schwannoma

Interventions

The investigational product is the AI-VS software. This software analyzes MRI scans of vestibular schwannomas and automatically performs 2D and 3D measurements. It serves as a clinical decision suppor

Sponsors

Leids Universitair Medisch Centrum
Lead Sponsor

Eligibility

Age
18 Years to 64 Years

Inclusion criteria

Inclusion criteria: Patients aged >18 yearsDiagnosed with vestibular schwannoma or suspected vestibular schwannomaAvailability of T1ce and/or T2-weighted MR imaging of the cerebellopontine angle

Exclusion criteria

Exclusion criteria: More than one vestibular schwannoma presentHas a known genetic disorder that can cause multiple vestibular schwannomas, such as NF2-associated schwannomatosisPrior vestibular schwannoma surgery or radiotherapy

Design outcomes

Primary

MeasureTime frame
Added value is assessed through quantitative measures, including time and cost comparisons (AI-VS vs. manual workflow), and through qualitative feedback, including user experience and usability, using the System Usability Scale (SUS) and selected questions from the Quadruple Aim model. 

Secondary

MeasureTime frame
As a secondary outcome, performance of AI-VS is assessed by measuring the rate of acceptance or rejection of the AI-results and analyzing reasons for rejection.

Countries

Netherlands

Contacts

Public ContactL Nagtegaal

Leids Universitair Medisch Centrum

kno-onderzoek@lumc.nl0623537649

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP) · Data processed: May 1, 2026