Detection and Biopsy Guidance of Nasopharyngeal Carcinoma Based on Artificial Intelligence and Endoscopic Images
NCT05202626 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2023-10-17
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.
Conditions
- Nasopharyngeal Carcinoma
- Image-Guided Biopsy
Interventions
- DIAGNOSTIC_TEST
-
Nasopharyngeal Endoscopy image-guided Biopsy
For each participant presenting with a suspicious nasopharyngeal lesion, the attending physician will assess the lesion and determine the appropriate biopsy approach. The physician may decide on multiple biopsies from the lesion area, including one sample from within the lesion itself, another from 5-8 mm outside the lesion, and a third from 8-10 mm beyond the lesion. Alternatively, a single biopsy may be deemed sufficient based on the clinical judgment. Each of these specimens will undergo pathological examination to confirm whether they are carcinomatous or non-carcinomatous.
Sponsors & Collaborators
-
Sun Yat-sen University
collaborator OTHER -
Guangdong Provincial People's Hospital
collaborator OTHER -
Nanfang Hospital, Southern Medical University
collaborator OTHER -
Fujian Cancer Hospital
collaborator OTHER_GOV -
Hainan People's Hospital
collaborator OTHER -
Chinese Academy of Sciences
lead OTHER_GOV
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-12-01
- Primary Completion
- 2023-10-30
- Completion
- 2025-06-28
Countries
- China
Study Locations
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