Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience

December 9, 2024 updated by: Rajavithi Hospital

Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial

Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

240

Phase

  • Not Applicable

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

  • Thailand
      • Bangkok, Thailand
        • Recruiting
        • Rajavithi Hospital
        • Contact:
        • Contact:
          • Tanyaporn Chantarojanasiri, MD

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

Yes

Description

Inclusion Criteria:

  • participants age 40-80 years

Exclusion Criteria:

  • History of colonic surgery (except appendectomy)
  • Lower gastrointestinal bleeding
  • unstable vital sign during endoscopy of pregnancy
  • history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure

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

  • Primary Purpose: Screening
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: control, experienced
Patients received colonoscopy with double insertion of right sided colon under white light by experienced endoscopist
Device: control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
Active Comparator: control, beginner
Patients received colonoscopy with double insertion of right sided colon under white light by beginner endoscopist
Device: control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
Experimental: AI, experience
Patients received colonoscopy with double insertion of right sided colon under AI by experienced endoscopist
Device: Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
Experimental: AI, beginner
Patients received colonoscopy with double insertion of right sided colon under AI by beginner endoscopist
Device: Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
polyp detection rate
Time Frame: during endoscopy
the number of polyp detected during endoscopy
during endoscopy

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
type of polyp
Time Frame: during endoscopy
the type of polyp detected during endoscopy
during endoscopy

Collaborators and Investigators

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

Sponsor

Rajavithi Hospital

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)

February 13, 2023

Primary Completion (Estimated)

February 12, 2026

Study Completion (Estimated)

February 28, 2026

Study Registration Dates

First Submitted

August 6, 2023

First Submitted That Met QC Criteria

August 6, 2023

First Posted (Actual)

August 14, 2023

Study Record Updates

Last Update Posted (Estimated)

December 13, 2024

Last Update Submitted That Met QC Criteria

December 9, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 031/2566

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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