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Effectiveness of Artificial Intelligence-Assisted Colorectal Lesion Detection System in Reducing Endoscopists' Viewpoint Shift

Effectiveness of Artificial Intelligence-Assisted Colorectal Lesion Detection System in Reducing Endoscopists' Viewpoint Shift - Effectiveness of Artificial Intelligence-Assisted Colorectal Lesion Detection System in Reducing Endoscopists' Viewpoint Shift

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000055731
Enrollment
60
Registered
2024-10-04
Start date
2024-07-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Colorectal adenoma

Interventions

CADe-first group (observation with CADe followed by observation without CADe) Normal observation-first group (observation without CADe followed by observation with CADe)

Sponsors

International University of Health and Welfare Ichikawa Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients who are undergoing colonoscopy. 2. Patients between 20 and 90 years old. 3. Patients with 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. The patients' participation in the study has been fully explained, and their written consent has been obtained.

Exclusion criteria

Exclusion criteria: 1. Patients with inflammatory bowel disease (ulcerative colitis, Crohn's disease, Behcet's disease). 2. Patients with hereditary or nonhereditary gastrointestinal polyposis. 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 preparation or sedatives. 7. Pregnant patients. 8. Patients who are breast-feeding. 9. Patients who do not consent to participate in the study 10. Patients who are deemed inappropriate by the study investigator.

Design outcomes

Primary

MeasureTime frame
Difference in average distance of eye movement (Euclidean distance) per unit time (30 milliseconds)

Secondary

MeasureTime frame
1. The ratio of the number of eye movements over the threshold distance to the total number of eye movements (the threshold distance is subdivided into 300/600/900 pixels, each eye movement is measured in 30 milliseconds) 2. Average horizontal eye movement distance per unit time (30 ms) 3. Average of vertical eye movement distance per unit time (30 ms) 4. ADR between groups 5. APC across groups 6. 6. Adenoma miss rate (AMR) of the preceding modality between groups (AMR of CADe for CADe preceding group, AMR of usual observation for usual observation preceding group) Serrated lesion identification rate between groups 8. Observation time between groups 9. Endoscopist eye fatigue as measured by visual analog scale (VAS) between groups 10. Eye movement patterns by endoscopist and ocular fatigue as measured by VAS

Countries

Japan

Contacts

Public ContactFumiaki Ishibashi

International University of Health and Welfare Ichikawa Hospital Department of Gastroenterology

ishibashi-gast@iuhw.ac.jp0473751111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026