Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
AgeNot listed
SponsorUniversity of Thessaly

About this trial

Type of study: Randomized controlled study

Investigated Procedure: Artificial Intelligence Software for Polyp Detection in Colonoscopy training

Trial participants: Endoscopy trainees during their training with at least one year of training ahead and no previous structured exposure to CADe

Objectives:

Primary: Adenoma Miss Rate (AMR) in the end of the first year of training for each group and after the crossover.

Secondary: Further endoscopists-related parameters will be recorded and compared between the two arms: PDR, ADR, aADR, PMR, withdrawal time, CIR, AEs

The investigators will be asked, when possible, to follow-up the patients until they have their next colonoscopy or a diagnosis of CRC to assess for interval cancer.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Trial participants: Endoscopy trainees at any time of their training, with at least one year of training ahead without previous structured exposure to CADe during their training.

Provision of signed and dated informed consent form understand the risks and benefits of the study

Aged ≥18 years old

Able to read and write in the provided language.

Disqualifiers

Trial participants: Endoscopy trainees after their basic training, during the last year of training or with systematic exposure to CADe.

Patients with a known contraindication for biopsy, bowel obstruction or perforation,

Pregnant or lactating females

Known polyposis syndromes, or who had a history of inflammatory bowel disease (IBD), CRC, or colorectal surgery.

Trial design

Design model

Crossover

Treatments tested in this trial

  • Artificial Intelligence in colonoscopy

    Diagnostic test

    Training in colonoscopy with or without CADe

  • Conventional colonoscopy training

    Diagnostic test

    The trainees will be trained with the conventional colonoscopy for the study period

Treatment groups

10 Participants
are divided into 2 treatment groups
Group A: CADe assisted colonoscopyExperimental treatment 1 intervention
Group B: Conventional colonoscopySham comparator 1 intervention

Trial outcomes

Primary outcomes

1

Adenoma Miss Rate (AMR) at the end of the first year of training for each group and after the crossover.

AMR is defined as the number of adenomas detected in the by each trainee divided by the total number of adenomas detected by the respective supervising expert.

Time frame
3 months

Secondary outcomes

1

Polyp Miss Rate (PMR)

PMR is defined as the number of polyps detected in the by each trainee divided by the total number of polyps detected by the respective supervising expert.

Time frame
3 months
2

Adenoma Detection Rate (ADR)

ADR is defined as the proportion of individuals who have at least one histologically confirmed conventional adenoma.

Time frame
3 months
3

Polyp Detection Rate (PDR)

PDR is defined as the proportion of individuals who have at least one polyp detected during a complete screening colonoscopy and can be readily calculated based on pathology report (including adenoma, serrated sessile lesions, and inflammatory and hyperplastic polyp).

Time frame
3 months
4

Adverse events rate

Adverse events defined by the ASGE lexicon

Time frame
3 months

Other outcomes

Sponsors and contacts

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