CADDIE Trial - Computer Aided Diagnosis and Detection for Intelligent Endoscopy (CADDIE)

May 9, 2023 updated by: University College, London

Multi-Centre, Open-label, Randomised, Prospective Trial to Assess Efficacy and Safety of the CADDIE Artificial Intelligence System for Improving Endoscopic Detection of Colonic Polyps in Real-time.

Background:

Colonoscopy is accepted to be the gold standard for screening of colorectal cancer (CRC). Most CRCs develop from adenomatous polyps, with colonoscopy accepted to be the gold standard for screening of CRC. An endoscopist's ability to detect polyps is assessed in the form of an Adenoma Detection Rate (ADR). Each 1.0% increase in ADR is associated with a 3.0% decrease in the risk of the patient developing an interval CRC. There remains a wide variation in endoscopist ADR.

More recently, the use of artificial intelligence (AI) and computer aided diagnosis in endoscopy has been gaining increasing attention for its role in automated lesion detection and characterisation. AI can potentially improve ADR, but previous AI related work has largely focused on retrospectively assessing still endoscopic images and selected video sequences which may be subject to bias and lack clinical utility. There are only limited clinical studies evaluating the effect of AI in improving ADR.

The CADDIE device uses convolutional neural networks developed for computer assisted detection and computer assisted diagnosis of polyps.

Primary objective: To determine whether the CADDIE artificial intelligence system improves endoscopic detection of adenomas during colonoscopy.

Primary endpoint: The difference in adenoma detection rate (ADR) between the intervention (supported with the CADDIE system) and non-intervention arm

Study design: Multi-Centre, open-label, randomised, prospective trial to assess efficacy and safety of the CADDIE artificial intelligence system for improving endoscopic detection of colonic polyps in real-time.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

654

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

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Study population will include patient's scheduled to undergo a surveillance or symptomatic colonoscopy at the participating sites.

Description

Inclusion Criteria:

  • Patient's scheduled to undergo a surveillance or symptomatic colonoscopy with an endoscopist participating in the study phase of the trial.
  • Male and female participants aged 18 years or older at the time of informed consent.
  • Patient's able to comprehend, sign and date the written informed consent document to participate in the study.

Exclusion Criteria:

  • Emergency colonoscopies and/or inpatient colonoscopies.
  • Patients with inflammatory bowel disease (IBD)
  • Patients with Colorectal Cancer (CRC)
  • Patients with previous CRC
  • Patients with previous colonic resection
  • Patients returning for a planned elective therapeutic colonoscopy.
  • Polyposis syndromes
  • Current or relevant history of a physical or psychiatric illness or any medical condition that in the opinion of the investigator could affect the patient's safety or interfere with the study assessments
  • Patients with a contraindication for biopsy or polypectomy. These include:

    • Patients who have not withheld medications pre-disposing to bleeding at time of colonoscopy as per local site /national guidelines 30.
    • Patients with a history of haemostasis disorders (Haemostasis disorders will include but will not be limited to: patients with haemophilia or other congenitally acquired clotting factor deficiencies, patients with cirrhosis with coagulopathy, patients known to have thrombocytopenia (<80,000 platelet/ul) and individuals with Von Willebrand's disease or other known platelet malfunction disorders).
  • Patients is enrolled in another research study with an investigational medicinal product (IMP) or non-IMP that pre-disposes them to bleeding

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
CADDIE
The endoscopist will be assisted with CADDIE system to detect polyps. The endoscopist will perform optical diagnosis of polyps with the assistance of the CADDIE's polyp characterisation function.
  1. CADDIE assisted polyp detection
  2. CADDIE assisted polyp characterisation
Standard Procedure
In addition to routine colonoscopy the endoscopist will perform optical diagnosis of detected polyps without the assistance of the CADDIE.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
To evaluate whether using the CADDIE system improves endoscopist detection of adenomas during colonoscopy.
Time Frame: 3 years
The difference in endoscopist ADR between the intervention (CADDIE system) and non-intervention arm.
3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate the difference in number of adenomas detected per colonoscopy between intervention and non-intervention arm
Time Frame: 3 years
Compare the difference in the number of adenomas detected per colonoscopy between the intervention and non-intervention arm
3 years
To determine whether the CADDIE artificial intelligence system improves endoscopic detection of all polyps during colonoscopy
Time Frame: 3 years

Polyp Detection Rate (including proximal polyp detection rate) in the interventional group compared to the control group.

- Mean number of polyps detected per colonoscopy in the interventional group compared to the control group.

3 years
Compare the accuracy of endoscopist optical diagnosis of diminutive polyps when using the CADDIE system (intervention arm) compared to without the CADDIE system (control arm)
Time Frame: 3 years
Compare the accuracy of CADDIE against human endoscopist (high confidence diagnoses) for the optical diagnosis of diminutive polyps.
3 years
Compare the accuracy of endoscopist optical diagnosis to assign colonoscopy surveillance intervals when using the CADDIE system (intervention arm) compared to without the CADDIE system (control arm)
Time Frame: 3 years
Compare the accuracy of using CADDIE's optical diagnosis to assign surveillance colonoscopy intervals against using human endoscopist optical diagnosis (high confidence diagnoses) for assigning surveillance colonoscopy intervals.
3 years
Compare the accuracy of endoscopist optical diagnosis of diminutive rectal polyps when using the CADDIE system (intervention arm) compared to without the CADDIE system (control arm)
Time Frame: 3 years
Compare the accuracy of CADDIE against human endoscopist (high confidence diagnoses) for the optical diagnosis of diminutive rectal polyps.
3 years
Evaluate the safety of the CADDIE by recording occurrence and severity of adverse events.
Time Frame: 3 years

Safety of the device will be assessed through monitoring of adverse events for 30 days' post-procedure. Adverse events are defined as:

  • Abdominal pain/discomfort.
  • Abdominal bloating.
  • Sedation related aspiration.
  • Bleeding risk.
  • Perforation.
  • Post polypectomy electrocoagulation syndrome.
  • Infection.
3 years
Assess integration of CADDIE into normal colonoscopy clinical workflow.
Time Frame: 3 years
- Endoscopist/endoscopy nurse/patient experience and acceptability of the CADDIE system assessed by qualitative questionnaire.
3 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Manish Chand, MBBS FRCS PhD, UCL

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)

April 29, 2021

Primary Completion (Anticipated)

November 1, 2023

Study Completion (Anticipated)

November 1, 2023

Study Registration Dates

First Submitted

March 11, 2020

First Submitted That Met QC Criteria

March 25, 2020

First Posted (Actual)

March 30, 2020

Study Record Updates

Last Update Posted (Estimate)

May 11, 2023

Last Update Submitted That Met QC Criteria

May 9, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Patients will be asked informed consent with the possibility to share the data

IPD Sharing Time Frame

Data will be made available from 1 year after the trial findings are published. This is available for up to 5 years after study completion.

IPD Sharing Access Criteria

We will make provision for and consider data sharing requests from bona fide researchers who must abide by the following principles: data will be collected with an high level of quality assurance, data will be held securely with appropriate documentation, data will not be put into the public domain or otherwise shared without explicit ethical review or legal obligation, and they will aim to use any data generated to the maximum public good. These datasets are governed by data usage policies specified by the data controller (UCL). If a conflict exists that severely restricts the analyses that can be undertaken, we would endeavour to support outside researchers by hosting them as visiting workers in our team so that they can access the data. We are committed to complying with the Wellcome Trust Data Sharing Policy. Applications are subject to review by Prof Lovat and Rawen Kader and should be emailed to l.lovat@ucl.ac.uk

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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