Lymph Node Metastasis in Early Esophageal Squamous Cell Carcinoma
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorThe First Affiliated Hospital of Anhui Medical University
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.
Eligibility criteria
Qualifiers
Patients with pathologically confirmed early-stage (T1) ESCC
Preoperative contrast-enhanced CT data within 2 weeks before surgery
Without any treatment before surgical resection
Disqualifiers
Patients who underwent neoadjuvant therapy or endoscopic treatment
Insufficient CT imaging or poor CT quality
Incomplete pathology results
Presence of metastatic disease
Trial design
Treatments tested in this trial
- The prediction model of lymph node metastasis in early esophageal squamous cell carcinoma
Treatment groups
500 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov