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Impact of Real-time Automatic Quality Control System on Colorectal Adenoma Detection

S

Shandong University

Status

Unknown

Conditions

Colonoscopy

Treatments

Device: Computer-aided Real-time Automatic Quality Control System (AQCS)

Study type

Interventional

Funder types

Other

Identifiers

NCT04901130
2021SDU-QILU-066

Details and patient eligibility

About

The purpose of this study was to assess the performance of automatic quality-control system (AQCS) in real-time quality control of colonoscopy.

Full description

We carried a multicenter randomised controlled trial to assess the performance of this system in quality control of real-time colonoscopy, including the adenoma detection rate (ADR), withdraw time, adequate bowel preparation rate and other indicators.

Enrollment

1,254 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Consecutive patients (aged 18-80 years) scheduled for colonoscopy examination.

Exclusion criteria

  • Patients with a history of inflammatory bowel disease, advanced colorectal cancer, polyposis syndromes or known colorectal polyps without complete removal previously.
  • Patients with a history of colorectal surgery.
  • Patients with a contraindication for biopsy.
  • Patients with prior failed colonoscopy.
  • Patients with known stenosis or obstruction.
  • Patients in pregnancy or lactation phase.
  • Patients refused to participate in the trial.

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

1,254 participants in 2 patient groups

AQCS-aided group
Experimental group
Description:
Patients in AQCS-aided group will go through colonoscopy examination with the assitance of AQCS.
Treatment:
Device: Computer-aided Real-time Automatic Quality Control System (AQCS)
Control group
No Intervention group
Description:
Patients in control group will go through conventional standard colonoscopy examination without the assistance of the AQCS.

Trial contacts and locations

6

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Central trial contact

Zhen Li, PhD; Jing Liu, MD

Data sourced from clinicaltrials.gov

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