Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma

Recruiting

• Conditions: ESCC; Radiomics; Lymph Node Metastasis

• Registration Number: NCT07050576
• Lead Sponsor: The First Affiliated Hospital of Anhui Medical University

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Study Start: 2024-05-01
• Status Verified: 2024-09
• Study First Submitted: 2025-06-26
• Study First Submitted QC: 2025-06-26
• Last Update Submitted: 2025-06-26
• Study First Posted: 2025-07-03
• Last Update Posted: 2025-07-03
• Primary Completion: 2025-10-01
• Study Completion: 2025-11-30

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 500

Inclusion Criteria

• Patients with pathologically confirmed early-stage (T1) ESCC
• Preoperative contrast-enhanced CT data within 2 weeks before surgery
• Without any treatment before surgical resection

Exclusion Criteria

• Patients who underwent neoadjuvant therapy or endoscopic treatment
• Insufficient CT imaging or poor CT quality
• Incomplete pathology results
• Presence of metastatic disease

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
AUC(the area under the curve) values of the model	4 years	The performance and clinical relevance of the models were assessed by analyzing the area under the curve (AUC).

Trial Locations

Locations (1)

The First Affiliated Hospital of Anhui Medical University; 🇨🇳 Hefei, Anhui, China