MedTrace Logo

Real-Time Identification System of Magnetically Controlled Capsule Endoscopy Using Artificial Intelligence

NCT04203264 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2019-12-18

No results posted yet for this study

Summary

The aim of this study is to evaluate the performance of real-time auxiliary system based on artificial intelligence algorithm in lesion detection and quality control in magnetically controlled capsule endoscopy.

Conditions

  • Capsule Endoscopy

Interventions

DIAGNOSTIC_TEST

Real-time artificial intelligence identification system

The patients swallowed the MCE with a small amount of water in the left lateral decubitus position. Once the capsule reached the stomach after investigating the esophagus, it was lifted away from the posterior wall, rotated and advanced to the fundus and cardiac regions, and then to the gastric body, angulus, antrum and pylorus. The magnetic steering time for passing through the pylorus was not allowed more than 15 min. The real-time auxiliary system implemented real-time processing for the output image of MCE system. Professional operators guarantee the integrity of the examination and the diagnostic results of professional endoscopist was used as the gold standard. The system diagnosis results was recorded at the same time. The sensitivity, delay time, specificity of lesions and anatomical landmarks will be analyzed.

Sponsors & Collaborators

  • Changhai Hospital

    lead OTHER

Principal Investigators

  • Zhuan Liao · Changhai Hospital

Eligibility

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

Timeline & Regulatory

Start
2019-12-16
Primary Completion
2020-01-01
Completion
2020-01-01

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 NCT04203264 on ClinicalTrials.gov