|

Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma

RECRUITINGSponsored by The First Affiliated Hospital of Anhui Medical University
Actively Recruiting
SponsorThe First Affiliated Hospital of Anhui Medical University
Started2024-05-01
Est. completion2025-10-01
Eligibility
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07050576

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

Healthy volunteers accepted
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

Conditions4

CancerESCCLymph Node MetastasisRadiomics

Browse More Trials

Cancer trials

Trial data from ClinicalTrials.gov. Trial status and eligibility can change — verify directly with the study contact or on ClinicalTrials.gov.

This site does not provide medical advice. Always consult your doctor before considering enrollment in a clinical trial. Learn more on our About page.