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NCT Number: NCT05990218

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

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.

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Key information

Conditions

Colon Polyp Colonic Polyps Intestinal Polyps Pathological Conditions, Anatomical Pathological Conditions, Signs and Symptoms Polyps

Age range

40 year–80 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Rajavithi Hospital

Bangkok, Thailand

Location status: Recruiting

Location contact

Tanyaporn Chantarojanasiri, MD

CONTACT

[email protected]

0898104033

Tanyaporn Chantarojanasiri, MD

CONTACT

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Artificial intellegence. CADe syste,

Device

The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.

Control

Device

The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.

Primary outcomes

  1. polyp detection rate

    Time frame: during endoscopy

    the number of polyp detected during endoscopy

Secondary outcomes

  1. type of polyp

    Time frame: during endoscopy

    the type of polyp detected during endoscopy

Sponsors and collaborators

Lead sponsor

Department of Medical Services Ministry of Public Health of Thailand

Other Gov

Registry information

Official study title

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

Important dates

Study start
2023
Primary completion
2026
Study completion
2026
First posted
Aug 14, 2023
Registry last updated
Dec 13, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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