Clinical Trials Logo

Clinical Trial Details — Status: Terminated

Administrative data

NCT number NCT05732233
Other study ID # STF-2023-01
Secondary ID
Status Terminated
Phase N/A
First received
Last updated
Start date July 21, 2023
Est. completion date February 23, 2024

Study information

Verified date February 2023
Source Satisfai Health, Inc.
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas). Ultivision AI CADe is indicated for white light colonoscopy only.


Description:

Ultivision AI contains an image processing software and algorithm based on machine learning technology and convolutional neural networks (CNN). The algorithm's primary function is to identify and highlight the likelihood of the presence of a colon polyp.


Recruitment information / eligibility

Status Terminated
Enrollment 137
Est. completion date February 23, 2024
Est. primary completion date February 23, 2024
Accepts healthy volunteers No
Gender All
Age group 45 Years to 75 Years
Eligibility Inclusion Criteria: 1. Age 45 to 75 years; 2. Screening or surveillance colonoscopy. 3. Iinformed consent Exclusion Criteria: 1. Colorectal cancer; 2. Inflammatory bowel disease, including Crohn's disease or ulcerative colitis; 3. Polyposis syndrome including Familial Adenomatous Polyposis, Cowden syndome, Linch syndrome, Peutz-Jeghers syndrome, MUITYH associated polyposis, familial Colorectal Cancer type X; 4. Positive Fecal Immunochemical Test; 5. Use anti-platelet agents or anticoagulants that prevent polyps removal; 6. Colon resection, not including the appendix; 7. Subject is pregnant or lactating.

Study Design


Intervention

Device:
Ultivision AI
Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas) in adult patients undergoing colorectal cancer screening and surveillance examinations.

Locations

Country Name City State
Canada University of Montreal Research Center (CRCHUM) Montréal (Québec) Montreal
Italy Humanitas Research Hospital Milano
United States UC Irvine Irvine California
United States University of Kansas Medical Center Kansas City Kansas

Sponsors (2)

Lead Sponsor Collaborator
Satisfai Health, Inc. Meditrial USA Inc.

Countries where clinical trial is conducted

United States,  Canada,  Italy, 

References & Publications (1)

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.2018.06.03 — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Adenoma per Colonoscopy (APC) Superiority of Ultivision-AI arm versus control arm. APC is defined as the total number of histologically confirmed adenomas resected divided by the total number of colonoscopies. During the procedure/surgery
Primary Adenoma Per Extraction (APE). Non inferiority of Ultivision-AI arm versus control arm. Where APE is the fraction of adenoma, sessile serrated lesions, and large (>10mm) hyperplastic polyps of the proximal colon (caecum, ascending colon, hepatic flexure, and transverse colon) out of total number of resections. During the procedure/surgery
See also
  Status Clinical Trial Phase
Terminated NCT04555135 - A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures N/A
Completed NCT03390907 - Hybrid APC Assisted EMR for Large Colon Polyps N/A
Completed NCT03551379 - A Double Balloon Endoscopic Platform for ESD
Completed NCT03619122 - Second Forward View Examination of Proximal Colon on Adenoma Detection Rate N/A
Completed NCT03742232 - Study Comparing the Bowel Cleansing Efficacy of PLENVU® Versus SELG-ESSE® Using a 2-Day Split Dosing Regimen. Phase 4
Completed NCT03336359 - Linked Color Imaging Versus Narrow Band Imaging for Colorectal Adenoma Detection N/A
Recruiting NCT01952418 - Effect of Video Monitor Size on Adenoma Detection Rate N/A
Recruiting NCT01719198 - Usefulness of Calprotectin for Colon Adenoma Screening N/A
Completed NCT03444090 - Impacts of Inspection During Instrument Insertion on Colonoscopy Quality N/A
Completed NCT03690297 - Linked Color Imaging (LCI) for Colorectal Adenoma Detection N/A
Completed NCT03696992 - BLI, NBI or White Light Colonoscopy for Proximal Colonic Adenoma N/A
Not yet recruiting NCT03679429 - NBI Versus White Light Endoscopy for Optical Characterization of Neoplastic Polyps in the Colorectum
Completed NCT02819492 - Side Specific Withdrawal Times for Colonoscopy: Impact on Adenoma Detection in the Proximal and Distal Colon N/A
Recruiting NCT01992406 - Feasibility, Safety and Outcome of Transrectal Hybrid-NOTES Anterior Resection N/A
Recruiting NCT04138030 - Conventional Endoscopic Mucosal Resection Versus Cold Snare Endoscopic Mucosal Resection of Colonic Lateral Spreading Lesions - A Randomised Controlled Trial N/A
Recruiting NCT06063720 - Effective Withdrawal Time and Adenoma Detection Rate
Not yet recruiting NCT05041478 - Cold Snare Endoscopic Mucosal Resection (EMR) vs Cold EMR With Margin Snare Tip Soft Coagulation (STSC) N/A
Not yet recruiting NCT03933371 - Predictors of Poor Bowel Cleansing and Capsule Endoscopy (CEPREDICT)
Completed NCT02980562 - Comparison of Low Volume PEG-Asc and Lower Volume PEG-Asc With Bisacodyl Phase 3
Recruiting NCT05448300 - Adenoma Detection Rate in Water and Air Colonoscopy Using Computer-aided System N/A