MedTrace Logo

Adenoma Detection Rate Using AI System in China

NCT03840590 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 743

Last updated 2020-09-25

No results posted yet for this study

Summary

The primary aim of this study is

\- to explore the usefulness of Artificial Intelligence system in colonoscopy on adenoma detection rate (ADR). Other aims include to explore the data below when Artificial Intelligence is used.

Mean adenomas detected per procedure, MAP Proximal Adenoma detection rate, pADR Polyp detection rate, PDR Proximal polyp detection rate, pPDR Mean polyps detected per procedure, MPP Withdrawal time, WT Cecal intubation rate, CIR Cecal intubation time, CIT

Conditions

  • Colorectal Neoplasms
  • Colonic Polyp
  • Adenoma

Interventions

DEVICE

CSK AI system

CSK system is equipped with the endoscopic mainframe and alarms the examiners when suspect lesions appear.

DEVICE

Standard Colonoscopy

This is the routine examination in nowadays clinical practice. Both the equipment and the procedure are as usual as clinical routine.

Sponsors & Collaborators

  • Sixth Affiliated Hospital, Sun Yat-sen University

    collaborator OTHER

  • Shanghai Zhongshan Hospital

    collaborator OTHER

  • Tianjin People's Hospital

    collaborator OTHER

  • Tianjin Nankai Hospital

    collaborator OTHER

  • Changhai Hospital

    lead OTHER

Principal Investigators

  • En-Da YU, MD · Changhai Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
45 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-07-10
Primary Completion
2019-12-05
Completion
2019-12-05

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03840590 on ClinicalTrials.gov