Actively Recruiting
Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
Led by The First Affiliated Hospital of Anhui Medical University · Updated on 2025-07-03
500
Participants Needed
1
Research Sites
82 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study aims to develop a predictive model using deep learning and radiomics to assess the likelihood of lymph node metastasis in patients with early-stage esophageal squamous cell carcinoma (ESCC). Lymph node metastasis is a critical factor in determining the treatment approach and prognosis for ESCC patients. By analyzing medical imaging data, we hope to create a non-invasive method that can assist doctors in making more accurate treatment decisions. This research could improve patient outcomes by enabling earlier and more tailored interventions.
CONDITIONS
Official Title
Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with pathologically confirmed early-stage (T1) esophageal squamous cell carcinoma
- Preoperative contrast-enhanced CT data within 2 weeks before surgery
- No prior treatment before surgical resection
You will not qualify if you...
- Patients who underwent neoadjuvant therapy or endoscopic treatment
- Insufficient CT imaging or poor CT quality
- Incomplete pathology results
- Presence of metastatic disease
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 Anhui Medical University
Hefei, Anhui, China, 230022
Actively Recruiting
Research Team
H
Hao Zheng, MD
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
2
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