Actively Recruiting
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
Led by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Updated on 2025-11-19
300
Participants Needed
1
Research Sites
52 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients diagnosed with Hepatocellular Carcinoma between January 1, 2018 and May 31, 2024
- Age over 18 years old
You will not qualify if you...
- Poor image quality
- Loss of follow-up
- Presence of another type of malignant tumor other than liver cancer
- Incomplete medical records
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China, 430022
Actively Recruiting
Research Team
Y
Yuanyuan Chu
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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