MedPath

Automated Detection of Brain Metastases on MRI

Conditions
Brain Metastases
Registration Number
NCT06727032
Lead Sponsor
Robovision BV
Brief Summary

This reader study aims at assessing whether the radiologist aided with AI software has at least a non-inferior performance than without AI assistance in detecting brain metastases.

200 retrospective MRI images will be included in the study with 100 positive and 100 negative exams.

Assessment will be completed by 12 readers with varying level of experience. This is a Retrospective Multiple-Reader Multiple-Case (MRMC) randomised study.

Detailed Description

Not available

Recruitment & Eligibility

Status
ENROLLING_BY_INVITATION
Sex
All
Target Recruitment
12
Inclusion Criteria
  • subjects older than 18 years with a known or possible primary extracranial cancer who undergo MRI for diagnosis, treatment planning or follow-up of brain metastases.
Exclusion Criteria
  • subjects with primary intracranial tumor(s), with more than 10 brain metastases, with meningeal metastases, with radiation necrosis, or post brain surgery

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Detection accuracy3 months

Demonstrate that the accuracy for detecting brain metastases by radiologists on MRI using the software (AIDED) is at least non-inferior to that of radiologists not using the software (UNAIDED).

Secondary Outcome Measures
NameTimeMethod
Reading time3 months

Demonstrate that the AIDED radiologists reading time for detecting brain metastases is significantly lower than for UNAIDED radiologists.

Inter-reader agreement3 months

Demonstrate that AIDED reading reduces detection variation between observers/readers in brain metastasis detection.

Trial Locations

Locations (1)

Netherlands Cancer Institute

🇳🇱

Amsterdam, Netherlands

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