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Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE)

Not Applicable
Completed
Conditions
CADe
Artificial Intelligence
Polyps of Colon
Surveillance Endoscopy for Colorectal Cancer
Interventions
Device: ENDOMIND
Registration Number
NCT05006092
Lead Sponsor
Wuerzburg University Hospital
Brief Summary

Evaluation of an artificial intelligence system for polyp detection (CADe)

Detailed Description

We aim to evaluate the artificial intelligence system ENDOMIND that supports endoscopist in detection of polyps during surveillance endoscopy for colorectal cancer. 1070 patients out of 6 gastroenterologic practice are randomized 1:1 for conventional surveillance colonoscopy vs. surveillance with AI support. Primary endpoint is Adenoma detection rate.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
1149
Inclusion Criteria
  • indication CRC surveillance endoscopy
  • indication post-polypectomy surveillance endoscopy
  • positive fecal immunochemical test in patients >=50 years
Exclusion Criteria
  • reasonable suspicion of inflammatory bowl disease
  • reasonable suspicion of familiar polyposis Syndrome
  • Patient after radiation/resection of colonic parts

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
surveillance endoscopy with CADe supportENDOMINDEndoscopy perfomed with CADe support.
Primary Outcome Measures
NameTimeMethod
adenoma detection rate4 months

proportion of individuals undergoing a complete screening colonoscopy who have one or more adenomas

Secondary Outcome Measures
NameTimeMethod
withdrawal time4 months

Time of withdrawal.

resection time4 months

Time spent on polyp resections.

polyp detection rate4 months

Exmainations with minimum one polyp detected.

Boston Bowl Preparation Score4 months

minimum 0, Maximum 9; should be higher than 5 for appropriate surveillance

Trial Locations

Locations (1)

Universitätsklinikum Würzburg

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Würzburg, Bayern, Germany

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