Condition: ESCC · Lymph Node Metastasis · Radiomics · Sponsor: The First Affiliated Hospital of Anhui Medical University
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.
This description comes directly from the study's public registry record.
Hao Zheng, MD · +86 139 1793 6873 · pojunayfy@gmail.com
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| The First Affiliated Hospital of Anhui Medical University | Hefei, Anhui, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07050576