Skip to content

The addition of computer aided detection to texture and colour enhancement imaging (TXI) for adenoma detection during colonoscopy: have we reached a glass ceiling?

Adenoma detection during colonoscopy: have we reached a glass ceiling? The impact of the addition of computer aided detection to texture and colour enhancement imaging in adult patients undergoing colonoscopy

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12625000996460
Enrollment
100
Registered
2025-09-09
Start date
2024-06-03
Completion date
2025-05-15
Last updated
2025-09-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

This study aims to determine whether the use of artificial intelligence for polyp detection during colonoscopy has additional benefit when used in combination with texture and colour enhancement imaging (TXI) - a new form of advanced endoscopic imaging technology. In our previous study comparing TXI to usual endoscopic imaging we demonstrated significant improvement in polyp detection with TXI (ACTRN12621000708853). Artificial intelligence has been shown in clinical trials to improve polyp detection. We are aiming to assess whether there is a glass ceiling on polyp detection where additional technology may not be of incremental benefit.

Interventions

The use of texture and colour enhancement imaging (TXI) - a form of advanced endoscopic imaging technology, in combination with artificial intelligence for the detection of colonic polyps. TXI is a 'push-button' technology included with Olympus endoscopy systems which will be set in use for the entire colonoscope withdrawal. Artificial intelligence (computer aided detection) is an additional system that can be added to the Olympus endoscopy system, which uses artificial intelligence to identify

The use of texture and colour enhancement imaging (TXI) - a form of advanced endoscopic imaging technology, in combination with artificial intelligence for the detection of colonic polyps. TXI is a 'push-button' technology included with Olympus endoscopy systems which will be set in use for the entire colonoscope withdrawal. Artificial intelligence (computer aided detection) is an additional system that can be added to the Olympus endoscopy system, which uses artificial intelligence to identify and highlight colonic polyps. The anticipated time of colonoscopy is approximately 20 minutes, with AI processing occurring in real time. The procedures will be performed by consultant gastroenterologists in both the intervention and control groups. The computer aided detection images will be incorporated into a single colonoscopy report completed by the gastroenterologist. The intervention will be delivered once at the time of colonoscopy and includes only the index colonoscopy. This will be performed at two tertiary centres in South Australia. Patients are not required to adhere to the intervention. All proceduralists are involved as associate investigators and aware of the trial protocol. The principal investigator will be providing oversight to ensure adherence.

Sponsors

Adelaide University
Lead SponsorUniversity

Study design

Allocation
Non-randomised trial
Intervention model
Other
Primary purpose
Diagnosis
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

All patients presenting for colonoscopy at the Lyell McEwin Hospital or Modbury Hospital

Exclusion criteria

Coagulation disorders Significant comorbidity (severe heart failure, chronic kidney disease or chronic obstructive pulmonary disease) Pregnancy Personal history of inflammatory bowel disease Family history of polyposis or non-polyposis bowel cancer syndromes

Outcome results

None listed

Source: ANZCTR · Data processed: Jun 28, 2026