Gastrointestinal Neoplasms
Conditions
Keywords
gastrointestinal neoplasia, artificial intelligence
Brief summary
This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.
Detailed description
This is an investigator initiated; multi-centre study and will be conducted in two phases. Validation & Optimization phase, where routinely collected and anonymized endoscopic images and videos from the departmental teaching and training library will be used to validate, and if needed fine-tune and improve, the accuracy of an AI algorithm. Testing phase, where the evaluation of AI algorithms performance will be conducted on a prospective basis. The ground truth (standard) will be expert assessment and histological diagnosis. This study has no direct impact on patient's clinical care, and collection of all endoscopic data will take place during standard endoscopy procedures done for purely clinical indications. No additional procedures, biopsies or interventions will be performed as a part of this study.
Interventions
OTHERcollection of endoscopic images and videos
collection of endoscopic images and videos
Sponsors
Portsmouth Hospitals NHS Trust
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
-The participant must meet ALL of the following criteria to be considered eligible for the study: * Male or Female, aged 18 years or above. * Requiring gastroscopy and/or colonoscopy to investigate gastrointestinal symptoms, or as part of screening or ongoing surveillance of GI neoplasia. * Participant is willing and able to give informed consent for participation in the study.
Exclusion criteria
The participant may not enter the study if ANY of the following apply: * Patients with endoscopically active severe oesophagitis * Poor bowel preparation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| neoplasia detection rate | during the procedure, up to 24 weeks, at 1 year, through study completion | neoplasia detection rate of the AI algorithms in different locations of the GI tract. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of AI diagnosis | during the procedure, up to 24 weeks, at 1 year, through study completion | Accuracy of real time optical diagnosis (characterization) of GI neoplasia by the AI algorithm. |
| Endoscopist neoplasia detection rate | during the procedure, up to 24 weeks, at 1 year, through study completion | Detection rate of endoscopists at various levels of experience |
Countries
United Kingdom
Contacts
PRINCIPAL_INVESTIGATORPradeep Bhandari, Prof
Portsmouth Hospitals NHS Trust
Outcome results
None listed