Status:
ENROLLING_BY_INVITATION
Radiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer Patients
Lead Sponsor:
Qun Zhao
Collaborating Sponsors:
First Hospital of Shijiazhuang City
Baoding First Central Hospital
Conditions:
Gastric Cancer
Para-Aortic Lymph Node Metastasis
Eligibility:
All Genders
18-80 years
Brief Summary
This study aims to develop and validate an artificial intelligence (AI) model based on radiomics features extracted from preoperative CT images to predict para-aortic lymph node (PALN) metastasis in p...
Eligibility Criteria
Inclusion
- Adults aged 18-80 years.
- Histologically confirmed gastric adenocarcinoma.
- Planned to undergo radical gastrectomy with or without para-aortic lymph node dissection.
- Preoperative contrast-enhanced abdominal CT scan available within 3 weeks before surgery.
- No evidence of distant metastasis on imaging.
- ECOG performance status 0-2.
- Provided written informed consent.
Exclusion
- History of other malignant tumors within the past 5 years.
- Received neoadjuvant chemotherapy or radiotherapy prior to CT imaging.
- Poor-quality or incomplete CT images not suitable for radiomics analysis.
- Severe comorbidities that may affect prognosis or surgical decision-making.
- Pregnancy or breastfeeding.
- Inability to provide informed consent or comply with study procedures.
Key Trial Info
Start Date :
January 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
June 30 2025
Estimated Enrollment :
120 Patients enrolled
Trial Details
Trial ID
NCT06947096
Start Date
January 1 2025
End Date
June 30 2025
Last Update
April 27 2025
Active Locations (1)
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1
the Fourth Hospital of Hebei Medical University
Shijiazhuang, None Selected, China, 050011