Actively Recruiting

All Genders
NCT07050576

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

All Genders

Eligibility Criteria

Eligible

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
Not Eligible

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

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Trial Site Locations

Total: 1 location

1

The First Affiliated Hospital of Anhui Medical University

Hefei, Anhui, China, 230022

Actively Recruiting

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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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