Comparing CADe Software for Enhanced Polyp Detection

Last updated: March 19, 2024
Sponsor: Sahlgrenska University Hospital, Sweden
Overall Status: Active - Recruiting

Phase

N/A

Condition

Colon Polyps

Polyps

Treatment

AI

Clinical Study ID

NCT06077435
981840
  • Ages 50-90
  • All Genders

Study Summary

Purpose & Research Questions

The purpose of this study is to evaluate whether artificial intelligence (AI) improves the detection of polyps and whether the system can classify the type and severity of detected changes. The investigators will also assess if there are any differences between the various AI systems and whether the polyps that may be missed are benign or malignant.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • Age > 50 years
  • Elective colonoscopy

Exclusion

Exclusion Criteria:

  • Patient declines to participate in the study.
  • Age < 50 years
  • Emergency examinations
  • Contraindications for biopsy/polypectomy
  • Unprepared bowel

Study Design

Total Participants: 915
Treatment Group(s): 1
Primary Treatment: AI
Phase:
Study Start date:
March 01, 2023
Estimated Completion Date:
June 01, 2025

Study Description

Materials: Selection, Representativeness, and Grouping

The study is a randomized controlled clinical trial conducted at Västra Götaland region. Patients are randomized to receive either AI or conventional endoscopy, and each endoscopy unit has access to at least one AI device. Informed consent is obtained from patients before the examination.

Before the examination, patients are asked if they want to participate in the study. If the patient wishes to participate, informed consent is obtained. The endoscopist then draws a slip from an envelope, determining whether conventional colonoscopy or AI will be used. During conventional colonoscopy, the patient is examined according to routine practice. After the examination, a questionnaire is filled out, recording various findings from the examination. During AI examinations, the AI system is activated only during instrument withdrawal. The system identifies polyps and alerts the endoscopist. Additionally, two of the AI systems (GI-Genius, CADEYE) have the ability to characterize the detected polyps and provide an interpretation of whether the changes are benign or malignant. After the examination, a similar questionnaire is completed as in conventional colonoscopy.

Method: Data Collection

Basic data will be recorded, including the reason for the examination, other illnesses, medications, demographic data such as gender, age, family history of cancer, and the time of the examination (morning or afternoon). During the examination, the following will be recorded: the number of polyps, macroscopic classification of polyps, AI system's characterization of the polyps, bowel cleansing quality, laxative method, medication during the examination, complications occurring during or after the examination. Withdrawal time is recorded, as well as the number of false-positive polyps and supplementation with histological data of polyps after review by the pathologist.

Three different AI systems will be used at the various hospital sites, namely EndoAid (Olympus), CADEYE (Fujinon), and GI-Genius (Medtronic). All units will randomize each examination to either AI or non-AI.

Connect with a study center

  • Sahlgrenska University Hospital

    Gothenburg, Gothenbburg 41345
    Sweden

    Active - Recruiting

Not the study for you?

Let us help you find the best match. Sign up as a volunteer and receive email notifications when clinical trials are posted in the medical category of interest to you.