臨床研究等提出・公開システム

Long-term outcomes of endoscopic treatment for colorectal polyps using artificial intelligence

Long-term outcomes of colorectal polyp treatment using artificial intelligence

Fujiya Mikihiro

Asahikawa Medical University

2-1-1-1 Midorigaoka-higashi, Asahikawa, Hokkaido 078-8510, Japan

fjym@asahikawa-med.ac.jp

Takahashi Keitaro

Asahikawa Medical University

2-1-1-1 Midorigaoka-higashi, Asahikawa, Hokkaido 078-8510, Japan

+81-166-68-2462

ktakaha@asahikawa-med.ac.jp

Pending

Dec. 01, 2024

Interventional

randomized controlled trial

open(masking not used)

no treatment control/standard of care control

parallel assignment

treatment purpose

1. Patients who are 20 years old or older at the time of obtaining consent.
2. Patients with colorectal polyps who wish to undergo endoscopic treatment.
3. Patients who have provided written consent to participate in this study.

1. Patients with advanced colorectal cancer at the time of the initial examination.
2. Patients who have undergone colorectal resection.
3. Patients with inflammatory bowel disease (ulcerative colitis, Crohn's disease).
4. Patients with gastrointestinal polyposis (familial adenomatous polyposis, juvenile polyposis, etc.).
5. Patients for whom total colonoscopy was difficult in previous endoscopic examinations.
6. Patients for whom biopsy or endoscopic treatment is difficult due to anticoagulant medication.
7. Patients scheduled for endoscopic submucosal dissection.
8. Patients who cannot provide written consent to participate in this study.

Both

Colorectal polyp

Whether or not artificial intelligence is used

advanced neoplasia detection rate

polyp detection rate
adenoma detection rate
sessile serrated lesion detection rate
diagnostic accuracy of the disease differentiation support function

No

none