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Brief Title: Detection and Biopsy Guidance of Nasopharyngeal Carcinoma Based on Artificial Intelligence and Endoscopic Images
Official Title: Detection and Biopsy Guidance of Nasopharyngeal Carcinoma Based on Artificial Intelligence and Endoscopic Images:a Multi-center Prospective Study
Study ID: NCT05202626
Brief Summary: Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperplasia, the positive rate for nasopharyngeal carcinoma identification during biopsy is low, thus leading to delayed or missed diagnosis for nasopharyngeal carcinoma upon initial attempt. Here, we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies and guide biopsy under endoscopic examination based on deep learning.
Detailed Description: Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperplasia, the positive rate for nasopharyngeal carcinoma identification during biopsy is low, thus leading to delayed or missed diagnosis for nasopharyngeal carcinoma upon initial attempt. Here, we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies and guide biopsy under endoscopic examination based on deep learning.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
Guangdong Provincial People's Hospital, Guangzhou, Guangdong, China
Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
Hainan Provincial People's Hospital, Haikou, Hainan, China