Evaluating Diagnostic Performance of Spectra IMDx System for Detection of Gastric Cancer and Precancerous Lesions
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Gastric Cancer
- Gastric Precancerous Lesion
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: N/AIntervention Model: Single Group AssignmentMasking: None (Open Label)Primary Purpose: Diagnostic
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
This is a prospective, single centre study to assess the diagnostic performance of Spectra IMDx system in detection of gastric cancer and precancerous lesions in subjects with suspected gastric intraepithelial neoplasia who are undergoing upper gastrointestinal endoscopic procedures. The Spectra IMD...
This is a prospective, single centre study to assess the diagnostic performance of Spectra IMDx system in detection of gastric cancer and precancerous lesions in subjects with suspected gastric intraepithelial neoplasia who are undergoing upper gastrointestinal endoscopic procedures. The Spectra IMDx system comprises a laser system, a spectrometer, a computer with an analysis algorithm installed, and other ancillary parts. The Spectra IMDx system also comprises a Raman probe that can be connected with the main system. The Raman probe is an assembly of optical fibres and optical components arranged for maximal transmission of light energy. When in use, the laser system will emit a 785nm near infra-red laser that will be transmitted through the Raman probe to the distal end. When the laser is interrogated upon a tissue surface, the light energy is absorbed and reflected. The reflected energy is then collected from the distal end of the Raman probe, transmitted back to the main system, and passed through the spectrometer. The collected signal is then processed to obtain the clean Raman signal, which is then parsed through the analysis algorithm to evaluate its risk for cancer (high/low). Feedback will then be generated on the GUI in real time.
Tracking Information
- NCT #
- NCT04835246
- Collaborators
- Zhongshan Hospital Xiamen University
- Investigators
- Principal Investigator: Hongzhi Xu, MD, PhD Zhongshan Hospital Xiamen University