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Brief Title: To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma
Official Title: To Develop and Validate a Nasoendoscopic Intelligent Diagnostic System for Nasopharyngeal Carcinoma
Study ID: NCT04547673
Brief 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.
Detailed Description:
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
Kiang Wu Hospital, Macao, Macao, China
Name: Weiping Wen, Ph.D
Affiliation: Otolaryngology Department, First Affiliated Hospital of Sun Yat-sen University
Role: STUDY_DIRECTOR