Actively Recruiting
AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT
Led by The First Affiliated Hospital with Nanjing Medical University · Updated on 2025-11-26
8000
Participants Needed
1
Research Sites
178 weeks
Total Duration
On this page
Sponsors
T
The First Affiliated Hospital with Nanjing Medical University
Lead Sponsor
J
Jiangsu Cancer Institute & Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
Accurate preoperative assessment of gastric cancer stage guides eligibility for endoscopic resection, extent of gastrectomy and lymphadenectomy, selection for neoadjuvant therapy, and use of staging laparoscopy. Contrast-enhanced CT (CECT) is guideline-endorsed for initial staging, yet performance varies across institutions and readers. This study will evaluate an artificial-intelligence (AI) system that analyzes routine CECT to detect gastric cancer and assign four-class T stage (T1-T4) and N stage (N0-N3) .
CONDITIONS
Official Title
AI-Assisted Detection and Staging of Gastric Cancer Using Contrast-Enhanced CT
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pathologically confirmed gastric cancer
- Preoperative contrast-enhanced CT scan performed
- No evidence of distant metastasis on baseline staging
- Curative-intent management with complete postoperative histopathology
You will not qualify if you...
- Prior treatment before surgery
- Non-diagnostic or poor-quality CT scan that prevents evaluation
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The First Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, China
Actively Recruiting
Research Team
Z
Zhang Yudong, PHD, MD
CONTACT
Q
Qiong Li
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
3
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