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 type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | First Affiliated Hospital, Sun Yat-Sen University Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 3 sites (Guangzhou, Guangdong and 2 other locations) |
| Status | Recruiting |
| Started | June 20, 2020 |
| Main results expected | October 31, 2024 |
| Study ends | December 31, 2026 |
| Registry record updated | February 20, 2024 |
| Trial ID | NCT04547673 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
- Study coordinator: Yihui Wen, Ph.D
- Email: wenyihui@mail.sysu.edu.cn
- Phone: +86-13480200660
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.