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Application of Hyperspectral Imaging Analysis Technology in the Diagnosis of Colorectal Cancer Based on Colonoscopic Biopsy

NCT05576506 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 86

Last updated 2024-07-31

No results posted yet for this study

Summary

The purpose of this study is to develop and validate a deep learning algorithm for the diagnosis of colorectal cancer other colorectal disease by marking and analyzing the characteristics of hyperspectral images based on the pathological results of colonoscopic biopsy, so as to improve the objectiveness and intelligence of early colorectal cancer diagnosis.

Conditions

  • Colorectal Neoplasms
  • Colorectal Polyp
  • Colorectal Adenoma
  • Colorectal SSA

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Xiuli Zuo, MD,PhD · Study Principal investigator

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-08
Primary Completion
2022-12-31
Completion
2022-12-31

Countries

  • China

Study Locations

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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 NCT05576506 on ClinicalTrials.gov