To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal
Nasopharyngeal carcinoma (NPC) occurs at a high frequency in southern China, northern Africa, and Alaska, with a reported incidence of 30 cases per 100 000 in Guangdong Province. Endoscopic examination and biopsy are the main methods used for detection and diagnosis of NPC. Early NPC patients achieve favourable prognos
| Condition(s) | Otolaryngological Disease, Artificial Intelligence |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | Nasopharyngeal carcinoma (NPC) occurs at a high frequency in southern China, northern Africa, and Alaska, with a reported incidence of 30 cases per 100 000 in Guangdong Province. Endoscopic examination and biopsy are the main methods used for detection and diagnosis of NPC. Early NPC patients achieve favourable prognoses after concurrent radiotherapy and chemotherapy in compassion with advanced NPC patients. Here, the investigators focused on the utility of artificial intelligence to detect early NPC, which based on white light imaging (WLI) and Narrow-band imaging (NBI) nasoendoscopic examination. Having access to this unique population provides an unprecedented opportunity to investigate the effect of intelligent system on diverse nasopharyngeal lesions detection and develop a novel Comp |
| Who can participate | 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. |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | First Affiliated Hospital, Sun Yat-Sen University |
| Locations | Guangzhou, Guangdong, China; Guangzhou, Guangdong, China; Macao, Macao, China |
| Start date | 2020-06-20 |
| NCT ID | NCT04547673 |
| Official listing | https://clinicaltrials.gov/study/NCT04547673 |