Colorectal polyp
Conditions
Interventions
During colonoscopy, CADe (CAD-EYE, Fujifilm Corporation) and the VGP real-time analysis system we developed are operated simultaneously to record and store inspection movies with the endoscopist'
s VGP displayed on the endoscopic image.
Sponsors
International University of Health and Welfare
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Patients who are undergoing colonoscopy. 2. Patients whose age is between 20 and 90 years old. 3. Patients with a performance status (ECOG) of 0 (no limitation in daily activities), 1 (able to perform light tasks but not physical labor), or 2 (able to walk and perform personal activities but not light tasks) 4. Patient's participation in the study has been fully explained to him/her and his/her written consent has been obtained.
Exclusion criteria
Exclusion criteria: 1. Patients with a history of inflammatory bowel disease (ulcerative colitis, Crohn's disease, Behcet's disease). 2. Patients with hereditary or non-hereditary gastrointestinal polyposis. 3) Patients with hereditary non-polyposis colorectal cancer (Lynch syndrome). 3. Patients with hereditary non-polyposis colorectal cancer (Lynch syndrome). 4. Patients with known severe diverticular disease of the colon that makes colonoscopy difficult and dangerous. 5. Patients who are unable to take colonoscopy pretreatment medication (laxatives). 6. Patients who are allergic to colonoscopy pretreatment drugs or sedatives. 7. Pregnant women. 8. Those who are breast-feeding. 9. Those who have not obtained consent to participate in the study 10. Those who are deemed inappropriate by the study investigator.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Percentage of lesions that CADe was able to automatically detect that were actually recognized by the endoscopist | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Time taken for the endoscopist to recognize lesions that were automatically detected by CADe 2. Analysis of features of lesions automatically detected by CADe but not recognized by the endoscopist 3. Analysis of lesion features that the endoscopist could recognize but CADe could not automatically detect 4. Percentage of endoscopists gazing at sites where CADe falsely detected bubbles or remaining stools (percentage of endoscopists gazing at CADe falsely detected sites) 5. Analysis of patients background in relation to the percentage that CADe falsely detected sites 6. Analysis of VGP of endoscopists during lesion detection by CADe | — |
Countries
Japan
Contacts
Public ContactFumiaki Ishibashi
International University of Health and Welfare Ichikawa Hospital Department of Gastroenterology
Outcome results
None listed