Accuracy of Artificial intelligence colonoscopy in Colorectal Cancer Screening CRC screening, AI colonoscopy, polyp miss rate
Conditions
Interventions
Use the Artificial Intelligence Colonoscopy first to CRC screening, if the polyp or adenoma was seen, remove it
After that, use the conventional colonoscopy to screening again for detection the polyp
Active Comparator Device,Active Comparator Device
CADe-Conventional,Conventional-CADe
Sponsors
Faculty of Medicine Vajira Hospital, Navamindradhiraj University
Eligibility
Sex/Gender
All
Age
50 Years to 75 Years
Inclusion criteria
Inclusion criteria: Age 50-75
Exclusion criteria
Exclusion criteria: 1.Known case Inflammatory bowel disease or Colorectal cancer 2.Contraindication for biopsy or polypectomy 3.Poor bowel preparation (Boston bowel preparation scale < 6 scores) 4.Incomplete colonoscopy 5.suspected polyposis syndromes, inflammatory bowel disease, and colorectal cancer 6.In-period colorectal screening by any modalities
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Adenoma Miss Rate the day colonoscopy the number adenoma detected at second colonoscopy divided by the total number of lesions detected at first and second colonoscopy | — |
Secondary
| Measure | Time frame |
|---|---|
| Polyp Miss Rate the day colonoscopy the number polyp detected at second colonoscopy divided by the total number of lesions detected at first and second colonoscopy,Adenoma Detection Rate the day colonoscopy number of examinations with adenomas/total number of examinations,Polyp Detection Rate The day colonoscopy number of examinations with polyps/total number of examinations,Adenoma per colonoscopy the day colonoscopy All number of detected adenoma divided by number of participants,Polyp per colonoscopy the day colonoscopy All number of detected polyps divided by number of participants | — |
Countries
Thailand
Contacts
Public ContactSiwakorn Pipatcharoenkij
Faculty of Medicine Vajira Hospital, Navamindradhiraj University
Outcome results
None listed