Clinical trial Recruiting at 3 sites Observational Ages 18 and up

Developing an intelligent system for diagnosing nasopharyngeal carcinoma

Official title: To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma

Run by First Affiliated Hospital, Sun Yat-Sen University · NCT04547673 · Data updated 2026-11-12

This study is testing a new smart system that uses artificial intelligence to help doctors find early signs of nasopharyngeal carcinoma in patients who are at high risk.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1000 (estimated)
SponsorFirst Affiliated Hospital, Sun Yat-Sen University
Academic / other
Drugs / interventionschemotherapy
Locations3 sites (Guangzhou, Guangdong and 2 other locations)
StatusRecruiting
StartedJune 20, 2020
Main results expectedOctober 31, 2024
Study endsDecember 31, 2026
Registry record updatedFebruary 20, 2024
Trial IDNCT04547673 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are adults over 18 years of age who are at risk for nasopharyngeal carcinoma.

Probably not a fit

Patients with contraindications such as coagulation dysfunction or drug allergies may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to develop and validate an intelligent diagnostic system using artificial intelligence to detect early nasopharyngeal carcinoma (NPC) through nasoendoscopic examination. The approach utilizes both white light imaging and narrow-band imaging techniques to enhance the detection of diverse nasopharyngeal lesions. By focusing on a population with a high incidence of NPC, the study seeks to improve diagnostic accuracy and patient outcomes through a novel computer-aided diagnosis system.

Why it matters

Potential benefit: If successful, this system could lead to earlier detection of nasopharyngeal carcinoma, improving treatment outcomes for patients.

How similar studies have gone: Other studies utilizing artificial intelligence for cancer detection have shown promising results, indicating potential success for this approach.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Older than 18 years of age

Exclusion Criteria:

* Refuse to sign the informed consent statement
* Patients who have contraindications, e.g. coagulation dysfunction, drug allergy.

Where it's running

  • First Affiliated Hospital of Sun Yat-sen University
    Guangzhou, Guangdong, China
    Recruiting
  • Sun Yat-Sen University Cancer Center
    Guangzhou, Guangdong, China
    Recruiting
  • Kiang Wu Hospital
    Macao, Macao, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.