400 Participants Needed

Gixam Device for Colorectal Cancer Screening

DB
Overseen ByDaniella Bleistein
Age: 18+
Sex: Any
Trial Phase: Phase 2
Sponsor: Jubaan Ltd.
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)
Prior Safety DataThis treatment has passed at least one previous human trial

Trial Summary

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications. However, it does mention that participants should not have taken probiotics in the past 3 months before the Gixam test.

What data supports the effectiveness of the Gixam treatment for colorectal cancer screening?

The research highlights that using technology like the GI Genius™ system, which is similar to the Gixam device, can improve the detection of adenomas (pre-cancerous growths) during colonoscopy. This suggests that Gixam may also enhance the effectiveness of colorectal cancer screening by increasing the adenoma detection rate.12345

How does the Gixam device differ from other colorectal cancer screening treatments?

The Gixam device for colorectal cancer screening is unique because it likely involves an immunochemical method to detect both fecal hemoglobin and albumin, which may increase screening effectiveness compared to traditional stool-based tests that typically focus on hemoglobin alone.678910

What is the purpose of this trial?

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.

Eligibility Criteria

This trial is for individuals who have tested negative on a Fecal Immunochemical Test (FIT) but still need to undergo colonoscopy screening for colorectal cancer. The study aims to include those who are due for standard care colonoscopy as part of their regular health check-up.

Inclusion Criteria

Able to provide a signed informed consent
I am between 45 and 85 years old.
I am scheduled for a colonoscopy at the study location.

Exclusion Criteria

Subjects with tongue piercing
Dental visit in the past 7 days prior to Gixam test
Intake of pro-biotics over the past 3 months pre-Gixam test
See 8 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Gixam Device Evaluation

Participants undergo evaluation using the Gixam device to predict the presence of precancerous polyps

1 day
1 visit (in-person)

Colonoscopy

Participants undergo a standard care colonoscopy to compare with Gixam's predictions

1 day
1 visit (in-person)

Follow-up

Participants are monitored for safety and effectiveness after the procedures

4 weeks

Treatment Details

Interventions

  • Gixam
Trial Overview The Gixam device, which uses images of the tongue and artificial intelligence to predict the presence of precancerous polyps in the colon or rectum, is being evaluated. Its accuracy will be compared with actual colonoscopy results.
Participant Groups
1Treatment groups
Experimental Treatment
Group I: Single armExperimental Treatment3 Interventions
All participants will undergo the same study procedures: FIT, Gixam, and colonoscopy

Find a Clinic Near You

Who Is Running the Clinical Trial?

Jubaan Ltd.

Lead Sponsor

Trials
3
Recruited
1,600+

Findings from Research

The COLO-DETECT trial will assess the effectiveness of the GI Genius™ computer-aided detection system in improving adenoma detection rates during colonoscopy, involving 1828 participants across various NHS sites in England.
This study is significant as it will be the first multi-centre randomized controlled trial to evaluate both the clinical and cost-effectiveness of GI Genius™ in routine colonoscopy practice, potentially enhancing colorectal cancer screening outcomes.
Trial protocol for COLO-DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius™ artificial intelligence endoscopy module with standard colonoscopy.Seager, A., Sharp, L., Hampton, JS., et al.[2022]
Colorectal cancer is a major health concern, being the third most common cancer globally and the second leading cause of cancer deaths in Europe and North America, highlighting the importance of effective screening methods like colonoscopy.
The adenoma detection rate is crucial for assessing the quality of colonoscopy, as low detection rates are linked to higher risks of colorectal cancer, indicating a need for improved detection technologies during these procedures.
Can technology increase adenoma detection rate?Ngu, WS., Rees, C.[2022]
AI-supported colonoscopies significantly improve adenoma detection rates (ADR) and polyp detection rates (PDR) compared to standard colonoscopy, with odds ratios of 1.51 and 1.89 respectively, based on a meta-analysis of 11 trials involving 6856 participants.
The use of AI did not lead to longer withdrawal times during colonoscopy, indicating that the integration of AI technology can enhance detection without compromising procedural efficiency.
The effectiveness of real-time computer-aided and quality control systems in colorectal adenoma and polyp detection during colonoscopies: a meta-analysis.Aslam, MF., Bano, S., Khalid, M., et al.[2023]

References

Trial protocol for COLO-DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius™ artificial intelligence endoscopy module with standard colonoscopy. [2022]
Can technology increase adenoma detection rate? [2022]
The effectiveness of real-time computer-aided and quality control systems in colorectal adenoma and polyp detection during colonoscopies: a meta-analysis. [2023]
Can Technology Improve the Quality of Colonoscopy? [2018]
Seeing better--Evidence based recommendations on optimizing colonoscopy adenoma detection rate. [2022]
Panoramic colonoscopy in colorectal cancer screening - a randomized controlled trial. [2022]
[Production and examination of double antigen specific immunoserum for immunochemical detection of occult blood]. [2006]
Screening for colorectal cancer in adults at average risk: a summary of the evidence for the U.S. Preventive Services Task Force. [2022]
Colon cancer screening in 2010: an up-date. [2015]
10.United Statespubmed.ncbi.nlm.nih.gov
A comparative study of fecal occult blood tests for early detection of gastrointestinal pathology. [2015]
Unbiased ResultsWe believe in providing patients with all the options.
Your Data Stays Your DataWe only share your information with the clinical trials you're trying to access.
Verified Trials OnlyAll of our trials are run by licensed doctors, researchers, and healthcare companies.
Back to top
Terms of Service·Privacy Policy·Cookies·Security