RecruitingNCT07050576

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


Sponsor

The First Affiliated Hospital of Anhui Medical University

Enrollment

500 participants

Start Date

May 1, 2024

Study Type

OBSERVATIONAL

Conditions

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.


Eligibility

Plain Language Summary

Simplified for easier understanding

This study uses CT scan images and pathology reports from patients with early-stage esophageal squamous cell carcinoma (a type of cancer in the food pipe) to develop tools that can predict whether the cancer has spread to nearby lymph nodes — helping doctors plan surgery more precisely. **You may be eligible if:** - You have been diagnosed with early-stage (T1) esophageal squamous cell carcinoma confirmed by pathology - You had a contrast CT scan of the chest within 2 weeks before surgery - You have not received any treatment before your surgical resection **You may NOT be eligible if:** - You received chemotherapy, radiation, or endoscopic treatment before surgery - Your CT imaging was of poor quality or insufficient - Your pathology results are incomplete - Your cancer has already spread to other parts of the body Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTThe 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

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NCT07050576


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