Development and Validation of a Deep Learning System for Nasopharyngeal Carcinoma Using Endoscopic Images
1 other identifier
observational
50,000
1 country
8
Brief Summary
Develop a deep learning algorithm via nasal endoscopic images from eight NPC treatment centerto detect and screen nasopharyngeal carcinoma(NPC).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2022
8 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 11, 2022
CompletedStudy Start
First participant enrolled
November 1, 2022
CompletedFirst Posted
Study publicly available on registry
November 25, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
March 31, 2024
CompletedNovember 25, 2022
November 1, 2022
1.2 years
July 11, 2022
November 23, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Area under the receiver operating characteristic curve of the deep learning algorithm
The investigators will calculate the area under the receiver operating characteristic curve of deep learning algorithm and compare this index between deep learning system and human doctors.
baseline
Secondary Outcomes (2)
Sensitivity of the deep learning system
baseline
Specificity of the deep learning system
baseline
Study Arms (3)
Training Cohort
Nasopharyngeal endoscopic images collected from 8 hospitals all over China
Validation Cohort
Nasopharyngeal endoscopic images collected from 8 hospitals all over China
Testing Cohort
Nasopharyngeal endoscopic images prospectively collected from 8 hospitals all over China
Interventions
Training dataset was used to train the deep learning model, which was validated and tested by external dataset.
Eligibility Criteria
Nasopharyngeal endoscopic images were collected from 8 hospital in NPC epidemic area all over China.
You may qualify if:
- The quality of endoscopic images should clinical acceptable.
- Patients were diagnosed with biopsy(NPC, benign hyperplasia). Control corhort(normal nasopharynx) don't require bispsy result.
You may not qualify if:
- images with spots from lens flares or stains, and overexposure were excluded from further analysis.
- image can not expose most part of lesion clearly.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Eye & ENT Hospital of Fudan Universitylead
- Xiangya Hospital of Central South Universitycollaborator
- The First Affiliated Hospital of Nanchang Universitycollaborator
- Fujian Medical University Union Hospitalcollaborator
- Quan Zhou First Affiliated Hospital of Fujian Medical Universitycollaborator
- First Affiliated Hospital of Guangxi Medical Universitycollaborator
- People's Hospital of Guangxi Zhuang Autonomous Regioncollaborator
- The People' s Hospital of Jiangmencollaborator
Study Sites (8)
Fujian Medical University Union Hospital
Fuzhou, Fujian, China
Quan Zhou First Affiliated Hospital of Fujian Medical University
Quanzhou, Fujian, China
The People' s Hospital of Jiangmen
Jiangmen, Guangdong, China
First Affiliated Hospital of Guangxi Medical University
Nanning, Guangxi, China
The People' s Hospital of Guangxi Zhuang Autonomous Region
Nanning, Guangxi, China
Xiangya Hospital of Central South University
Changsha, Hunan, China
The First Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China
Eye&ENT Hospital of Fudan University
Shanghai, Shanghai Municipality, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hongmeng Yu, MD PhD
Eye&ENT Hospital, Fudan University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 11, 2022
First Posted
November 25, 2022
Study Start
November 1, 2022
Primary Completion
December 31, 2023
Study Completion
March 31, 2024
Last Updated
November 25, 2022
Record last verified: 2022-11