iIDEAS/RTD: Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions

Sponsor
Asian Institute of Gastroenterology, India (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05784935
Collaborator
(none)
380
7.4

Study Details

Study Description

Brief Summary

To conduct an single blinded, non-randomized, prospective, single center trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Consecutive patients referred for a screening, surveillance or diagnostic colonoscopy will be included

Condition or Disease Intervention/Treatment Phase
  • Device: Real time AI detection model

Detailed Description

All procedures will be performed with high-definition endoscopes; Bowel preparation will be conducted according to usual local practices. During colonoscopy, the colonoscope will be first advanced to the cecum in all patients as confirmed by identification of the appendicular orifice and ileocecal valve or by intubation of the ileum, as per the standard of care by experienced endoscopists. During the insertion, no action will be taken. After cecal intubation is performed, the colonoscope will be slowly withdrawn to the splenic flexure by the primary endoscopists. Real time AI detection model will be activated with the output displayed in real time on a separate monitor and will be only viewed by an independent investigator, who is an experienced endoscopists (or a person trained in polyp recognition). The primary endoscopists will be blinded to the AI real time detection result

All detected polyps will be removed or with biopsy taken during this examination and sent for histopathology examination.

Study Design

Study Type:
Observational
Anticipated Enrollment :
380 participants
Observational Model:
Case-Only
Time Perspective:
Prospective
Official Title:
iIDEAS Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions - A Prospective, Single Blinded, Non - Randomized, Single - Center Study
Anticipated Study Start Date :
Mar 20, 2023
Anticipated Primary Completion Date :
Nov 1, 2023
Anticipated Study Completion Date :
Nov 1, 2023

Outcome Measures

Primary Outcome Measures

  1. Performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy [1 Year]

    A single-blinded, non-randomized prospective trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy.

Eligibility Criteria

Criteria

Ages Eligible for Study:
19 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
Yes
Inclusion Criteria:
  1. Patients undergoing colonoscopy of age 18 to 80 years.

  2. Patient who has read the informed consent form, has understood the relevant aspects of the study, and grants his/her authorization to participate by signing the informed consent form before the inclusion in the study and the performance of any procedure

  3. Consecutive adult patients scheduled to undergo routine colonoscopy at AIG

Exclusion Criteria:
  1. Females who are pregnant

  2. Patients who are unsuitable for any other reason to participate in the study in the opinion of the investigator

  3. Recent colonoscopy within past 12 month

  4. History of inflammatory bowel disease

  5. History of colorectal cancer

  6. Previous bowel resection (apart from appendectomy)

  7. Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes

  8. Bleeding tendency or severe comorbid illnesses for which polypectomy is considered unsafe.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Asian Institute of Gastroenterology, India

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Asian Institute of Gastroenterology, India
ClinicalTrials.gov Identifier:
NCT05784935
Other Study ID Numbers:
  • iIDEAS/RTD
First Posted:
Mar 27, 2023
Last Update Posted:
Mar 27, 2023
Last Verified:
Mar 1, 2023
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Mar 27, 2023