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Automatic recognition of irregularities in the oesophagus

Automatic recognition of irregularities in the oesophagus

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON26564
Enrollment
150
Registered
2018-02-27
Start date
2017-08-01
Completion date
Unknown
Last updated
2024-02-28

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

Conditions

Esophageal cancer, Barrett’s esophagus, HD endoscopy, computer-aided diagnosis

Interventions

No interventions will take place. For this study, extra endoscopic imagery will be obtained by making endoscopic images and (zoom) videos.

Sponsors

Academic Medical Center (AMC) Amsterdam
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients >18 years with: - non-dysplastic Barrett's esophagus; or - dysplastic Barrett's esophagus; or - early adenocarcinoma of the esophagus

Exclusion criteria

Exclusion criteria: - Patients previously treated for Barrett neoplasia

Design outcomes

Primary

MeasureTime frame
- Classification scores of the CAD system

Secondary

MeasureTime frame
- Speed of the algorithm

Contacts

Public ContactA.J. Groof, de

Amsterdam UMC

a.j.degroof@amc.uva.nl020-5664571

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)