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Computer aided detection and characterization of Barrett neoplasia

Computer aided detection and characterization of Barrett neoplasia

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON24961
Enrollment
700
Registered
2020-02-25
Start date
2019-08-01
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

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 - Barrett's esophagus after treatment for esophageal neoplasia (post-treament)

Exclusion criteria

Exclusion criteria: - Presence of grade C or grade D erosive esophagitis (Los Angelos classification)

Design outcomes

Primary

MeasureTime frame
- Classification scores of the CAD system

Secondary

MeasureTime frame
- Speed of the algorithm

Contacts

Public ContactJelmer Jukema

Amsterdam UMC

j.b.jukema@amsterdamumc.nl0204447136

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)