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NOT YET RECRUITING
NCT06924489
NA

Advanced Adenoma Detection With 3D Imaging Device During Colonoscopy

Sponsor: Xijing Hospital of Digestive Diseases

View on ClinicalTrials.gov

Summary

The goal of this clinical trial is to learn if 3-dimensional (3D) imaging device works to identify patients with high risk adenomas during colonoscopy to guide proper follow-up strategy. It will also learn about the safety of 3-dimensional (3D) imaging device. The main questions it aims to answer are: Does 3-dimensional (3D) imaging device improve the identification of patients with high risk adenomas? What adverse events do participants experience during colonoscopy? Researchers will compare 3-dimensional (3D) imaging device to traditional 2-dimensional (2D) imaging device to see if 3-dimensional (3D) imaging device works to improve high risk adenoma identification. Participants will: Undertake colonoscopy examination using 3-dimensional (3D) imaging device or 2-dimensional (2D) imaging device. Be followed-up to 30 days to record potential colonoscopy-relevant adverse events.

Official title: Effect of 3-Dimensional Imaging Device on Advanced Adenoma Detection During Colonoscopy: A Multi-center Randomized Controlled Trial

Key Details

Gender

All

Age Range

18 Years - 75 Years

Study Type

INTERVENTIONAL

Enrollment

1566

Start Date

2025-06-01

Completion Date

2026-07-01

Last Updated

2025-04-11

Healthy Volunteers

Yes

Interventions

PROCEDURE

Colonoscopy after bowel cleansing with 2D imaging device

participants will undergo colonoscopy examination using 2D imaging colonoscope to detect potential adenomas or polyps. The classification of the detected lession will be determined by the edoscopic diagnosis based on the JNET classification system or by the pathological diagnosis with tissues from biopsy or polypectomy.

PROCEDURE

Colonoscopy after bowel cleansing with 3D imaging device

participants will undergo colonoscopy examination using 3D imaging colonoscope to detect potential adenomas or polyps. The classification of the detected lession will be determined by the edoscopic diagnosis based on the JNET classification system or by the pathological diagnosis with tissues from biopsy or polypectomy.