Department of Gastroenterology
San Cristóbal de La Laguna, S/C de Tenerife, 38320, Spain
NCT Number: NCT04945044
The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy.
The secondary aims were:
* To evaluate the benefit of Endo-AID in adenoma detection rate by comparing endoscopists with high and low adenoma detection rate. * To evaluate serrated detection rate, advanced adenoma detection rate, adenoma detection rate according to the size (<= 5mm, 6-9mm,> = 10mm) and number of adenomas by colonoscopy. Stratification by location and morphology.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
San Cristóbal de La Laguna, S/C de Tenerife, 38320, Spain
Priority guidelines have been established regarding IA applied to gastrointestinal endoscopy. Regarding the priority uses for their development, there are applications that improve vision, placing computer-assisted lesion detection (CADe) as one of the most necessary priorities, given the importance of colorectal cancer screening (CRC) and post-polypectomy surveillance. The evaluation of these systems in different clinical practices and patient groups has been recommend. In this regard, studies in the western population are limited and have been carried out by expert endoscopists. It has not been evaluated in endoscopists with different adenoma detection rates. In addition, there are no studies with the recent CADe Endo-AID system (Olympus Corp. Tokyo).
The main purpose of the study to evaluate the usefulness of the Endo-AID artificial intelligence system in the detection of colorectal adenomas in consecutive patients for outpatient colonoscopy. In addition, the benefit of the CADe system will be assessed according to the endoscopist ADR.
A randomized controlled trial will be carried out in consecutive outpatients meeting the inclusion criteria and none of the exclusion criteria. Patients with be randomized to one of the four groups: CADe system and high ADR endoscopist; CADe system and low ADR endoscopist; Control and high ADR endoscopist; Control and low ADR endoscopist.
For the sample size calculation a 14.4 of difference in favor of the CADe system was considered. Taking onto account an alpha error of 0.05 in a unilateral contrast, a power of 80% and a loss of 10%, 165 patients per group would be required.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
This is a computed system that helps the endoscopist to increase the detection of colorectal polyps
It is exclusively the endoscopist in charge of the detection of the polyps (usual practice)
Time frame: [Time frame: 1 years][Designated as safety issue: No]
Number of colonoscopies with colorectal adenoma/Number of total colonoscopies
Time frame: [Time Frame: 1 years][Designated as safety issue: No]
Number of colonoscopies with serrated adenoma/Number of total colonoscopies
Time frame: [Time Frame: 1 years][Designated as safety issue: No]
Number of colonoscopies with advanced adenoma/Number of total colonoscopies
Hospital Universitario de Canarias
Other
Usefulness of the Endo-AID Artificial Intelligence System in the Detection of Colorectal Adenomas. a Randomized Controlled Trial
Acronym: INTELAID
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