Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma

The First Affiliated Hospital of Anhui Medical University

Status: Enrolling

Conditions: Lymph Node Metastasis; ESCC; Radiomics

Treatments: Diagnostic Test: The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma

Study type: Observational

Funder types: Other

Identifiers

NCT07050576

Early-ESCC-LNM-2024

Details and patient eligibility

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.

Enrollment: 500 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

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

Trial design

500 participants in 2 patient groups

A

Description:

A total of 400 patients with early-stage ESCC from our center were divided into training and test sets.

Treatment:

Diagnostic Test: The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma

B

Description:

A total of 100 patients with early-stage ESCC from other center were defined as external validation

Treatment:

Diagnostic Test: The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma