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Clinical Trial 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.

Clinical Trial Description


Study Design

Related Conditions & MeSH terms

NCT number NCT04547673
Study type Observational
Source First Affiliated Hospital, Sun Yat-Sen University
Contact Yihui Wen, Ph.D
Phone +86-13480200660
Status Recruiting
Start date June 20, 2020
Completion date December 31, 2022

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