Clinical trial · Observational
Research on Early Recurrence of Locally Advanced Gastric Cancer Based on CT Radiomics Prediction
NCT07683195CI-TRIAL-00116981LAGCenrolling by invitationClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Gastric Cancer | Malignant Gastric Neoplasm | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (2)
- label
- No recurrence
- description
- Patients with locally advanced gastric cancer who have experienced no recurrence within 1 year after radical gastrectomy
- label
- Recurrence
- description
- Patients with locally advanced gastric cancer who experienced recurrence within 1 year after radical gastrectomy
Primary outcomes (1)
- measure
- Accuracy of early recurrence models
- timeFrame
- Immediately evaluated after the early recurrence model was built
- description
- In this study, clinical data and contrast-enhanced CT imaging data of 550 patients with locally advanced gastric cancer from our hospital were collected. Machine learning and deep learning algorithms were applied to assess the early recurrence of patients within one year after surgery. The performance of the artificial intelligence model was evaluated from two dimensions: diagnostic accuracy and stability, and quantitative analysis of its performance was conducted using indicators including the area under the curve (AUC) and the precision-recall curve (PR curve).
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 85 Years
Show eligibility criteria text
Inclusion Criteria: 1. pathology diagnosis of LAGC (pT2NxM0-pT4NxM0); 2. radical gastrectomy with D2 lymph node dissection (\>15 lymph nodes); 3. available clinicopathological data; 4. patients underwent contrast-enhanced abdominal CT scans within 4 weeks before surgery. Exclusion Criteria: 1. preoperative treatment for LAGC (radiotherapy, chemotherapy, or systemic therapy); 2. previous malignancies; 3. unsatisfactory gastric distention or inability to identify the primary tumor; 4. image artifacts.
References
Publications (0)
Data not yet available
No reference posted for this study.