Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma

Recruiting now

Conditions studied: ESCC, Lymph Node Metastasis, Radiomics

In brief

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.

Key facts

Study ID

NCT07050576

Run by

The First Affiliated Hospital of Anhui Medical University

People needed

500

Starts

2024-05-01

Expected to finish

2025-11-30

Last updated by the study team

2025-07-03

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

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

Where it is running

• The First Affiliated Hospital of Anhui Medical University — Hefei, Anhui, China (enrolling)

Full record on ClinicalTrials.gov

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