Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
1 other identifier
observational
300
1 country
1
Brief Summary
Hepatocellular carcinoma (HCC) is a common liver cancer, and many patients cannot receive surgery. For these patients, transarterial chemoembolization (TACE) is an important treatment. However, patients often respond differently to TACE, and it is difficult to predict who will benefit most. This study uses deep learning to automatically analyze routine CT images taken before TACE. By measuring body composition features, such as the size and condition of different abdominal organs and tissues, we aim to better understand patients' overall health status and treatment tolerance. The goal is to develop a prediction model that can help doctors estimate survival and treatment outcomes more accurately. This may assist in making more personalized treatment decisions and improving patient care.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2025
Shorter than P25 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
November 1, 2025
CompletedFirst Submitted
Initial submission to the registry
November 14, 2025
CompletedFirst Posted
Study publicly available on registry
November 19, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2026
ExpectedNovember 19, 2025
November 1, 2025
2 months
November 14, 2025
November 14, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
OS
After the TACE procedure until May 1, 2025
Secondary Outcomes (1)
PFS
After the TACE procedure until May 1, 2025
Eligibility Criteria
hepatocellular carcinoma
You may qualify if:
- Patients diagnosed with "Hepatocellular Carcinoma" from January 1, 2018 to May 31, 2024;
- Age \> 18 years old.
You may not qualify if:
- Poor image quality;
- Loss of follow-up;
- Presence of another type of malignant tumor other than liver cancer;
- Incomplete medical records.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, 430022, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Archiater
Study Record Dates
First Submitted
November 14, 2025
First Posted
November 19, 2025
Study Start
November 1, 2025
Primary Completion
December 31, 2025
Study Completion (Estimated)
November 1, 2026
Last Updated
November 19, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share