- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04673136
Usefulness of GI-GENIUS in FIT-based Colorectal Cancer Screening Program. (CADILLAC)
Usefulness of GI-GENIUS in FIT-based Colorectal Cancer Screening Program. Randomized Controlled Trial.
Deep learning technology has an increasing role in medical image applications and, recently, an artificial intelligence device has been developed and commercialized by Medtronic for identification of polyps during colonoscopy (GI-GENIUS). This kind of computer-aided detection (CADe) devices have demonstrated its ability for improving polyp detection rate (PDR) and the adenoma detection rate (ADR). However, this increase in PDR and ADR is mainly made at the expense of small polyps and non advanced adenomas.
Colonoscopies after a positive fecal immunochemical test (FIT) could be the scenario with a higher prevalence of advanced lesions which could be the ideal situation for demonstrating if these CADe systems are able also to increase the detection of advanced lesions and which kind of advanced lesions are these systems able to detect.
The CADILLAC study will randomize individuals within the population-based Spanish colorectal cancer screening program to receive a colonoscopy where the endoscopist is assisted by the GI-GENIUS device or to receive a standard colonoscopy.
If our results are positive, that could suppose a big step forward for CADe devices, in terms of definitive demonstration of being of help for efectively identify also advanced lesions.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Alicante, Spain, 03010
- Hospital General Universitario de Alicante
-
Barcelona, Spain
- Hospital Clínic Barcelona
-
Ourense, Spain
- Complexo Hospitalario de Ourense
-
Oviedo, Spain
- Hospital Universitario Central de Asturias
-
Valladolid, Spain
- Hospital Universitario Río Hortega
-
Vigo, Spain
- Hospital Universitario Alvaro Cunqueiro
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Individuals with a positive result in fecal immunochemical test within the population-based colorectal cancer screening program.
- Complete colonoscopy with cecal intubation.
- Inform consent signed.
Exclusion Criteria:
- Personal history of colorectal cancer.
- Family history of colorectal cancer: ≥2 FDR or ≥1 FDR diagnosed before 50 years of age.
- Family history of hereditary colorectal cancer syndromes: Lynch syndrome, FAP, etc.
- Personal history of inflammatory bowel disease.
- Terminal illness.
- Personal history of total proctocolectomy.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: DIAGNOSTIC
- Allocation: RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
EXPERIMENTAL: Colonoscopy assisted by GI-GENIUS
|
Colonoscopy assisted by GI-GENIUS device
|
PLACEBO_COMPARATOR: Standard colonoscopy
|
Standard colonoscopy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Detection of advanced lesions
Time Frame: 15 months
|
To determine the impact of the GI-GENIUS device as an assistant to the endoscopist to detect advanced lesions (advanced adenomas and advanced serrated polyps) in FIT-based screening colonoscopies.
|
15 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Detection of other type of lesions
Time Frame: 15 months
|
To determine the ability of the GI-GENIUS device to detect other lesions (colorectal cancer, adenomas, advanced adenomas, serrated polyps, advanced serrated polyps, non-polypoid lesions ≥10mm and right-sided advanced adenomas)
|
15 months
|
Characteristics of GI-GENIUS
Time Frame: 1 month
|
To describe the characteristics of using the GI-GENIUS device during a colonoscopy: withdrawal time, false-positive and false-negative rate of advanced lesions using the device, etc.
|
1 month
|
Collaborators and Investigators
Collaborators
Publications and helpful links
General Publications
- Aziz M, Fatima R, Dong C, Lee-Smith W, Nawras A. The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis. J Gastroenterol Hepatol. 2020 Oct;35(10):1676-1683. doi: 10.1111/jgh.15070. Epub 2020 Apr 26.
- Urban G, Tripathi P, Alkayali T, Mittal M, Jalali F, Karnes W, Baldi P. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy. Gastroenterology. 2018 Oct;155(4):1069-1078.e8. doi: 10.1053/j.gastro.2018.06.037. Epub 2018 Jun 18.
- Wang P, Berzin TM, Glissen Brown JR, Bharadwaj S, Becq A, Xiao X, Liu P, Li L, Song Y, Zhang D, Li Y, Xu G, Tu M, Liu X. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut. 2019 Oct;68(10):1813-1819. doi: 10.1136/gutjnl-2018-317500. Epub 2019 Feb 27.
- Wang P, Liu X, Berzin TM, Glissen Brown JR, Liu P, Zhou C, Lei L, Li L, Guo Z, Lei S, Xiong F, Wang H, Song Y, Pan Y, Zhou G. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study. Lancet Gastroenterol Hepatol. 2020 Apr;5(4):343-351. doi: 10.1016/S2468-1253(19)30411-X. Epub 2020 Jan 22. Erratum In: Lancet Gastroenterol Hepatol. 2020 Apr;5(4):e3.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Digestive System Diseases
- Neoplasms by Histologic Type
- Neoplasms by Site
- Neoplasms, Glandular and Epithelial
- Gastrointestinal Diseases
- Colonic Diseases
- Intestinal Diseases
- Pathological Conditions, Anatomical
- Rectal Diseases
- Intestinal Polyps
- Neoplasms
- Colorectal Neoplasms
- Adenoma
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Polyps
- Colonic Polyps
- Intestinal Neoplasms
Other Study ID Numbers
- CADILLAC-01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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