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

NCT04547673 RECRUITING

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 Computer-Aided Diagnosis System.

Details

Lead sponsor	First Affiliated Hospital, Sun Yat-Sen University
Status	RECRUITING
Enrolment	1000
Start date	Sat Jun 20 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Completion	Thu Dec 31 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Conditions

• Otolaryngological Disease
• Artificial Intelligence

Interventions

• rigid nasal endoscopes

Countries

China