Using AI to identify lymph node metastasis in gastric cancer
Official title: Hebei Medical University
Run by Hebei Medical University · NCT06534814 · Data updated 2026-11-12
This study is testing a new AI tool to see if it can better identify lymph node spread in people with gastric cancer compared to regular diagnostic methods.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | Hebei Medical University Academic / other |
| Locations | 1 site (Shijiazhuang, Hebei) |
| Status | Recruiting |
| Started | July 1, 2024 |
| Main results expected | December 31, 2025 |
| Study ends | July 30, 2030 |
| Registry record updated | August 2, 2024 |
| Trial ID | NCT06534814 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults aged 18 and older with a confirmed diagnosis of gastric cancer and suspected or confirmed lymph node involvement.
✕Probably not a fit
Patients who are pregnant, have severe comorbid conditions, or have previously used AI-driven diagnostic interventions for gastric cancer lymph node metastasis may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study focuses on developing an artificial intelligence-driven model to accurately identify lymph node metastasis in patients with gastric cancer. A multidisciplinary team, including oncologists, radiologists, and data scientists, will collaborate to create this model. Participants will undergo standard diagnostic procedures, and the AI model will analyze imaging and pathological data to predict lymph node involvement. The study aims to validate the AI model's accuracy by comparing its predictions with traditional diagnostic methods.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate staging and treatment planning for gastric cancer patients.
How similar studies have gone: While the use of AI in medical diagnostics is growing, this specific application for gastric cancer lymph node metastasis is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Diagnosis of Gastric Cancer: Confirmed diagnosis of gastric cancer, either newly diagnosed or recurrent. 2. Lymph Node Involvement: Suspected or confirmed involvement of lymph nodes, as indicated by imaging studies or pathology reports. 3. Age: Patients aged 18 years or older. 4. Performance Status: An Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 2, indicating a functional status that allows participation in the study. 5. Informed Consent: Ability to provide written informed consent to participate in the study. Exclusion Criteria: 1. Pregnancy or Lactation: Pregnant or lactating women, due to potential risks to the fetus or infant. 2. Severe Comorbid Conditions: Presence of severe comorbid medical conditions that could interfere with the study or pose additional risks. 3. Previous AI-Driven Diagnostic Intervention: Prior use of any AI-driven diagnostic models specifically for gastric cancer lymph node metastasis. 4. Inability to Comply: Inability or unwillingness to comply with study procedures, including follow-up visits and data collection. 5. Mental or Cognitive Impairment: Conditions that impair the ability to provide informed consent or participate effectively in the study.
Where it's running
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Department of General Surgery
Shijiazhuang, Hebei, China Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.