NCT06947096Enrolling by invitation
Radiomics-Based AI Model for Predicting Para-Aortic Lymph Node Metastasis in Gastric Cancer Patients
A Prospective Clinical Study of Radiomics-Based Artificial Intelligence for Predicting Para-Aortic Lymph Node Metastasis in Patients With Gastric Cancer
Source: ClinicalTrials.gov · Last updated 27 Apr 2025 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
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 patients with gastric cancer. Accurately identifying PALN metastasis before surgery can help doctors make better treatment decisions, such as whether to proceed with surgery, consider chemotherapy, or use other treatment strategies. The study will prospectively enroll patients who are diagnosed with gastric cancer and scheduled for surgery. All participants will undergo routine imaging tests, and their data will be analyzed using advanced AI techniques. The results of this study may improve the precision of preoperative staging and support personalized treatment planning for gastric cancer patients.
- Status (registry)
- Enrolling by invitation
- Study type
- Observational
- Enrollment
- 120 (estimated)
- First submitted
- 21 Apr 2025
- Start date
- 1 Jan 2025
- Primary completion date
- 30 Jun 2025
- Lead sponsor
- Qun Zhao
- Diseases
- Gastric and esophageal cancer
- NCT number
- NCT06947096
What you commit to
- Study type: Observational
- Planned participants: 120
- From 1 Jan 2025 to the primary completion date, 30 Jun 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Received neoadjuvant chemotherapy or radiotherapy prior to CT imaging.
- Severe comorbidities that may affect prognosis or surgical decision-making.
Other illness
- History of other malignant tumors within the past 5 years.
Other
- Poor-quality or incomplete CT images not suitable for radiomics analysis.
- Pregnancy or breastfeeding.
- Inability to provide informed consent or comply with study procedures.
Who the study is looking for
- 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.
Age in the registry: 18 years to 80 years · Sex: All
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| The Fourth Hospital of Hebei Medical University Coordinator of this site? Confirm its status | Shijiazhuang | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.