Colorectal Neoplasms
Conditions
Interventions
Using an AI system during colonoscopy.
Do not use an AI system during colonoscopy.
Sponsors
Toho University Oomori hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1) Patients who undergo colonoscopy 2) Age:35 to 75 (at the registry) 3) Patients who can follow Guidelines for gastroenterological endoscopy in patients undergoing antithrombotic treatment 4) Written informed consent
Exclusion criteria
Exclusion criteria: 1) Patients who underwent total colonoscopy within 2 years (24 months) 2) Patients with prior colectomy other than appendectomy 3) GI polyposis 4) Patients with complications, such as chronical hematological disease 5) Patients with active inflammatory bowel diseases, such as ulcerative colitis or Crohn's disease 6) pregnant patient
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Adenoma Detection Rate | — |
Secondary
| Measure | Time frame |
|---|---|
| 1 ) Polyp Detection Rate 2 ) Adenoma per Positive Colonoscopy 3 ) Rate of increase in ADR by colonoscopy experience 4 ) Detection rate by lesion (size (6 mm or more, less than 6 mm), macroscopic type, location) 5 ) Sessile Serrated Lesion detection rate 6 ) Total procedure time | — |
Countries
Japan
Contacts
Public ContactYusuke Nishikawa
Toho University Oomori hospital Departments of Gastroenterology
Outcome results
None listed