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Enrolling by invitation NCT07683195

Research on Early Recurrence of Locally Advanced Gastric Cancer Based on CT Radiomics Prediction

Observational Gastric Cancer

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Gastric Cancer. Basic parameters: 18 years — 85 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
China
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

This study aims to develop a model for predicting postoperative recurrence in patients with LAGC using artificial intelligence (AI) technology based on preoperative computed tomography (CT) images

Primary outcome measures

  • Accuracy of early recurrence models [Time frame: Immediately evaluated after the early recurrence model was built]

Eligibility criteria

Inclusion criteria

  • pathology diagnosis of LAGC (pT2NxM0-pT4NxM0);
  • radical gastrectomy with D2 lymph node dissection (>15 lymph nodes);
  • available clinicopathological data;
  • patients underwent contrast-enhanced abdominal CT scans within 4 weeks before surgery.

Exclusion criteria

  • preoperative treatment for LAGC (radiotherapy, chemotherapy, or systemic therapy);
  • previous malignancies;
  • unsatisfactory gastric distention or inability to identify the primary tumor;
  • image artifacts.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

China · 1 center
  • QianfoshanH — Jinan

Identifiers

NCT: NCT07683195 · YXYXLL-KY-2025[168]

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗