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
2 other identifiers
observational
227
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2007
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2007
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2022
CompletedFirst Submitted
Initial submission to the registry
June 29, 2025
CompletedFirst Posted
Study publicly available on registry
August 7, 2025
CompletedAugust 11, 2025
August 1, 2025
16 years
June 29, 2025
August 6, 2025
Conditions
Outcome Measures
Primary Outcomes (2)
disease free survival and overall survival
months
January 2007 to December 2022
body mass index
kg/m\^2
January 2007 to December 2022
Study Arms (1)
VAT-to-SAT ratio high vs VAT-to-SAT ratio low
VAT/SAT ratio indicates body fat distribution
Eligibility Criteria
AJCC stage III gastric cancer
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Ta-Sen Yeh
Taoyuan District, 886, Taiwan
Biospecimen
surgical specimen with paraffin block
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- professor
Study Record Dates
First Submitted
June 29, 2025
First Posted
August 7, 2025
Study Start
January 1, 2007
Primary Completion
December 31, 2022
Study Completion
December 31, 2022
Last Updated
August 11, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share