Skip to main content
TTrialFinder
TrialFinder is for informational purposes only and does not provide medical advice. Always talk to your doctor.
RECRUITINGOBSERVATIONAL

Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma

Deep Learning and Radiomics for Prediction of Lymph Node Metastasis in Early-stage Esophageal Squamous Cell Carcinoma

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.

About This Trial

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.

Who May Be Eligible (Plain English)

Who May Qualify: - Patients with pathologically confirmed early-stage (T1) ESCC - Preoperative contrast-enhanced CT data within 2 weeks before surgery - Without any treatment before surgical resection Who Should NOT Join This Trial: - Patients who underwent neoadjuvant therapy or endoscopic treatment - Insufficient CT imaging or poor CT quality - Incomplete pathology results - Presence of metastatic disease Always talk to your doctor about whether this trial is right for you.

Original Eligibility Criteria

View original clinical language
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

Treatments Being Tested

DIAGNOSTIC_TEST

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

The predictive performance of the model was validated in the test set. The optimal prediction model was determined based on the AUC and ACC. To assess the robustness of the chosen model, ROC analysis was conducted on the external validation set.

Locations (1)

The First Affiliated Hospital of Anhui Medical University
Hefei, Anhui, China