Actively Recruiting
AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study
Led by Fujian Provincial Hospital · Updated on 2025-11-26
200
Participants Needed
5
Research Sites
162 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study mainly uses an artificial intelligence system to assist in the classification of the depth of invasion of early esophageal squamous cell carcinoma under ultrasound endoscopy, providing a basis for preoperative T staging and diagnosis and treatment decisions.
CONDITIONS
Official Title
AI-assisted Endoscopic Ultrasound Grading of Early Esophageal Cancer Invasion Depth: A Multicenter, Prospective, Randomized Cohort Study
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age over 18 years old
- Presence of esophageal ulcer
- Presence of low-grade intraepithelial neoplasia
- Presence of high-grade intraepithelial neoplasia
- Diagnosis of esophageal squamous cell carcinoma
- Presence of white patches on esophageal mucosa
- Presence of esophageal polyps
- Availability of endoscopic examination records and detailed pathological reports
- Agreement to participate in the study
You will not qualify if you...
- History of esophageal cancer surgery
- History of radiotherapy or chemotherapy for esophageal cancer
- Missing data
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 5 locations
1
Fujian provincial hospital
Fuzhou, Fujian, China, 350001
Actively Recruiting
2
Affiliated Hospital of Putian University
Putian, Fujian, China, 351100
Not Yet Recruiting
3
Putian First Hospital
Putian, Fujian, China, 351100
Not Yet Recruiting
4
Putian Hospital of Traditional Chinese Medicine
Putian, Fujian, China, 351100
Not Yet Recruiting
5
Xianyou County General Hospital
Putian, Fujian, China, 351100
Not Yet Recruiting
Research Team
W
Wei Liang, MD
CONTACT
Y
Yanqin Xu, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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