Clinical trial · Observational
CT Body Composition Enhances Survival Risk Stratification
Deep Learning-Derived CT Body Composition Enhances Survival Risk Stratification Beyond the TNM System in Locally Advanced Gastric Cancer: A Multi-Omics Cohort Study
- 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)
Gastric carcinoma remains the fifth most common malignancy and the second leading cause of cancer-related mortality worldwide. For patients with locally advanced disease, standard treatment includes radical gastrectomy followed by (neo)adjuvant chemotherapy and immune checkpoint inhibitors. Considerable variability in prognosis persists even within the same the American Joint Committee on Cancer (AJCC) substage, highlighting the importance of host-related factors such as nutritional status, systemic inflammation, and immune competence in shaping survival. Computed tomography-based body composition (CTBC) analysis offers an objective means to quantify skeletal muscle, subcutaneous adipose tissue, and visceral adipose tissue, capturing key dimensions of patient physiology that are not accounted for in traditional staging systems. Advances in deep learning enables rapid, automated body composition analysis with high concordance to expert annotations. Here, the investigators prepare to apply automated CTBC analysis to a homogeneous cohort of 300 patients with AJCC8 stage III gastric cancer to determine whether visceral adiposity-related metrics improve survival risk stratification beyond TNM staging.
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
Design
Arms and outcomes
Arms (1)
- label
- VAT-to-SAT ratio high vs VAT-to-SAT ratio low
- description
- VAT/SAT ratio indicates body fat distribution
Primary outcomes (2)
- measure
- disease free survival and overall survival
- timeFrame
- January 2007 to December 2022
- description
- months
- measure
- body mass index
- timeFrame
- January 2007 to December 2022
- description
- kg/m\^2
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: 1) gastric cancer stage III 2) resectable 3) high quality CT image Exclusion Criteria: 1) without adequate CT image 2) associated with other cancers \-
References
Publications (0)
Data not yet available