Evaluation of AI-assisted software for colonoscopy

A prospective study of computer-aided detection for colonoscopy - A prospective evaluation of CADe

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000040677

Enrollment

2000

Registered

2020-12-01

Start date

2020-06-22

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 lesion

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Patients who underwent colonoscopy at the Digestive Disease Center, Showa University Northern Yokohama Hospital from June 2020 to March 2025 2. Patients aged 20 years or older at the time of colonoscopy.

Exclusion criteria

Exclusion criteria: 1. Patients with prior lesion information 2. Patients with inflammatory bowel disease (including various kinds of colitis except for UC or Chron) 3. Polyposis patient 4. Patients who refuse to use the information they use

Design outcomes

Primary

Measure	Time frame
Adenoma detection rate per one colonoscopy	—

Secondary

Measure	Time frame
1. Flat and depressed tumor detection rate per colonoscopy 2. Detection rate of advanced adenoma per colonoscopy Advanced adenoma is an adenoma of 10 mm or more, histopathologically villous or tubulovillous component, and high-grade dysplasia. 3. Sessile serrated lesion (SSL) detection rate per colonoscopy 4. Diminutive adenoma detection rate 5. Polyp detection rate 6. Mean number of adenomas per procedure (MAP) 7. Total observation time (including treatment time) from reaching the cecum to withdrawal through the anus. 8. Incident rate 9. Medical cost per examination (treatment-related costs/pathological diagnosis costs) 10. Rate of post colonoscopy colorectal cancer and advanced adenoma 11. CUSUM curve analysis for the ADR	—

Measure

Time frame

1. Flat and depressed tumor detection rate per colonoscopy 2. Detection rate of advanced adenoma per colonoscopy Advanced adenoma is an adenoma of 10 mm or more, histopathologically villous or tubulovillous component, and high-grade dysplasia. 3. Sessile serrated lesion (SSL) detection rate per colonoscopy 4. Diminutive adenoma detection rate 5. Polyp detection rate 6. Mean number of adenomas per procedure (MAP) 7. Total observation time (including treatment time) from reaching the cecum to withdrawal through the anus. 8. Incident rate 9. Medical cost per examination (treatment-related costs/pathological diagnosis costs) 10. Rate of post colonoscopy colorectal cancer and advanced adenoma 11. CUSUM curve analysis for the ADR

—

Countries

Japan

Contacts

Public ContactMasashi Misawa

Showa University Northern Yokohama Hospital Digestive Disease Center

mmisawa@med.showa-u.ac.jp0459497265

Outcome results