Evaluation of Gixam's Performance in a FIT Negative Population

Recruiting now · Phase 2

Conditions studied: Colorectal Adenoma, Colorectal Cancer (CRC), Colorectal Cancer (CRC) Screening

In brief

In the United States, colorectal cancer ranks second to lung cancer as a cause of cancer death and is the third most commonly occurring cancer in both men and women. Colorectal cancer in most cases develops slowly over a period of years, starting with the growth of precancerous polyps on the colon or rectum wall. The slow development of colorectal cancer makes it possible to detect and prevent it entirely by the removal of the precancerous polyps with colonoscopy. To date, there is no screening test, other than colonoscopy, able to detect the precancerous polyps. Gixam is a camera that takes multiple pictures of your tongue and uses artificial intelligence software to predict the presence of precancerous polyps within your colon or rectum that may eventually become cancerous. The device creates the prediction by comparing the images taken of your tongue with many other images of tongues from healthy patients and patients with a history of precancerous polyps. Patients who have been predicted by Gixam to have precancerous polyps may be more likely to complete colonoscopy at the interval recommended by their physician, potentially reducing the likelihood of developing colorectal cancer. The purpose of this research study is to test the accuracy of the Gixam device in persons that have received a negative outcome on a Fecal Immunochemical Test (FIT). This study will compare this prediction to the actual findings of your scheduled standard care colonoscopy and allow researchers to evaluate and improve the Gixam system.

Key facts

Study ID
NCT06612281
Run by
Jubaan Ltd.
People needed
400
Starts
2024-11-01
Expected to finish
2025-04-30
Last updated by the study team
2024-11-14

Who can join

Age: 45 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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