The Implementation of Computer-aided Detection in Training Improves the Quality of Future Colonoscopies

January 15, 2025 updated by: Zofia Orzeszko, Jagiellonian University

The Implementation of Computer-aided Detection in an Initial Endoscopy Training Improves the Quality Measures of Trainees' Future Colonoscopies

Computer-aided detection (CADe) based on artificial intelligence (AI) may improve colonoscopy quality. An increasing number of young endoscopists are trained in an AI environment. However its impact on trainees' future outcomes remains unclear. The study aimed to evaluate the quality indicators of endoscopists trained in an AI environment compared to those trained conventionally.

Study Overview

Detailed Description

Computer-aided detection (CADe) based on artificial intelligence (AI) may improve colonoscopy quality. An increasing number of young endoscopists are trained in an AI environment. However its impact on trainees' future outcomes remains unclear. The study aimed to evaluate the quality indicators of endoscopists trained in an AI environment compared to those trained conventionally. A study included 6,000 adult patients who underwent a colonoscopy for various reasons. The study retrospectively evaluated the first 1,000 procedures performed by six endoscopists after completing training relying entirely on endoscopists' detection skills without AI enhancement. Three of those young endoscopists were trained with CADe, and three without additional assistance. Quality indicators were assessed in both groups. The morphology of detected polyps was evaluated to determine the influence of AI-enhanced training on laterally spreading tumors (LST) detection rate.

Study Type

Observational

Enrollment (Actual)

6000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Kraków, Poland, 31007
        • Jagiellonian University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

This study included 6,000 adult patients who underwent a colonoscopy for various reasons in a single high-volume endoscopy clinic in Krakow.

Description

Inclusion Criteria:

  • adult participants who underwent a colonoscopy for various reasons performed by specific endoscopists that were assessed in terms of quality indicators

Exclusion Criteria:

  • a history of bowel resection
  • confirmed inflammatory bowel disease
  • suspicion of polyps or cancer in other imaging tests
  • suspicion of familial adenomatous polyposis

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Group A
Colonoscopies performed by endoscopists trained in AI-enhanced environment. The quality indicators are measured after completing training without AI enhancement.
Endoscopists trained in AI-enhanced environment. Their quality indicators are measured after completing training, without additional AI enhancement.
Group B
Colonoscopies performed by endoscopists trained conventionally. The quality indicators are measured after completing training without AI enhancement.
Endoscopists trained conventionally

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
withdrawal time
Time Frame: During the colonoscopy examination
The time from the cecal intubation to the end of the examination
During the colonoscopy examination
Cecal intubation rate (CIR)
Time Frame: During the colonoscopy examination
The percentage of colonoscopies with successful cecal intubations
During the colonoscopy examination
Adenoma Detection Rate (ADR)
Time Frame: During the colonoscopy examination
The percentage of colonoscopies when the adenoma was found
During the colonoscopy examination
Advanced adenoma detection rate (AADR)
Time Frame: During the colonoscopy examination
The percentage of colonoscopies when the advanced adenoma (>10mm) was found
During the colonoscopy examination
Adenoma per colonoscopy score (APC)
Time Frame: During the colonoscopy examination
The average number of adenomas detected in a single colonoscopy
During the colonoscopy examination
Serrated polyp detection rate (SDR)
Time Frame: During the colonoscopy examination
The percentage of colonoscopies when the serrated polyp was found
During the colonoscopy examination

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Laterally spreading tumor detection rate
Time Frame: During the colonoscopy examination
The percentage of colonoscopies when the laterally spreading tumor lesion was found
During the colonoscopy examination

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Zofia Orzeszko, MD, Jagiellonian University
  • Study Chair: Miroslaw Szura, PhD, Prof., Jagiellonian University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2022

Primary Completion (Actual)

January 31, 2024

Study Completion (Actual)

March 31, 2024

Study Registration Dates

First Submitted

September 30, 2024

First Submitted That Met QC Criteria

October 1, 2024

First Posted (Actual)

October 2, 2024

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

January 15, 2025

Last Verified

January 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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