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Spots Global Cancer Trial Database for Detection and Biopsy Guidance of Nasopharyngeal Carcinoma Based on Artificial Intelligence and Endoscopic Images

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Trial Identification

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

Study Description

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.

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

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

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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