Clinical trial · Observational
Multi-center and Multi-modal Deep Learning Study of Gastric Cancer
Multi-center and Multi-modal Deep Learning Study of Diagnosis, Therapeutic Outcome and Prognosis of Gastric Cancer
NCT05001321CI-TRIAL-00053209unknownClinicalTrials.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)
To assist postoperative pathological diagnosis and classification of gastric cancer by machine learning; To improve the accuracy of pathological diagnosis of gastric cancer by machine learning; To predict the effectiveness of treatment for gastric cancer by deep learning; To construct a model to predict the survival of gastric cancer patients by multimodal deep learning.
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 |
|---|---|---|---|
| Stomach Neoplasms | Gastric Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| H&E stained sections and slides | Other | — | UNRESOLVED |
| The whole abdomen contrast-enhanced CT scan | Radiation | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Training Group
- description
- Based on the inclusion criteria, 2000 gastric cancer patients will be recruited in the analysis. And a model will be constructed based on deep learning.
- interventionNames
- Radiation: The whole abdomen contrast-enhanced CT scan
- Other: H&E stained sections and slides
- label
- Internal Validation Group
- description
- Based on the inclusion criteria, 1000 gastric cancer patients will be recruited in this group to verify the sensitivity and specificity of the constructed model.
- interventionNames
- Radiation: The whole abdomen contrast-enhanced CT scan
- Other: H&E stained sections and slides
- label
- External Validation Group
- description
- Based on the inclusion criteria, 300 gastric cancer patients from 5 other medical centers will be recruited in this group to verify the sensitivity and specificity of the constructed model.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 79 Years
Show eligibility criteria text
Inclusion Criteria: * The diagnosis of gastric cancer was confirmed by pathology; * Preoperative enhanced abdominal CT; * Available detailed clinical and pathological data; * Integrated follow-up data. Exclusion Criteria: * The patients had severe underlying disease; * Overall survival was less than 3 months; * No detailed information could be collected.
References
Publications (0)
Data not yet available
No reference posted for this study.