NCT04547673

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

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,000 (estimated)
• Sponsor: First Affiliated Hospital, Sun Yat-Sen University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

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 Computer-Aided Diagnosis System.

Conditions

• Otolaryngological Disease
• Artificial Intelligence

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	rigid nasal endoscopes	The endoscope is introduced through the nasal passage to observe, in sequence, the posterior nostril, superior and posterior walls of the nasopharynx, torus tubarius, pharyngeal opening of the auditory tube, and Rosenmu¨ller recess. The imaging light mode is set to conventional WLI and subsequently switch to NBI during the procedure, and representative images are collected and preserve for further analysis. All lesions, detected by either WLI or NBI, are biopsied.

Timeline

• Start date: 2020-06-20
• Primary completion: 2024-10-31
• Completion: 2026-12-31
• First posted: 2020-09-14
• Last updated: 2024-02-20

Locations

3 sites across 1 country: China