- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07235410
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
November 14, 2025 updated by: Lian Yang, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Deep Learning-Based Multidimensional Body Composition Mapping for Predicting Clinical Outcomes in Hepatocellular Carcinoma Patients Undergoing TACE
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.
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Estimated)
300
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yuanyuan Chu
- Phone Number: +8602785726375
- Email: whunionlunli@126.com
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430022
- Recruiting
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
-
Contact:
- Yi Li
- Phone Number: +8617364176403
- Email: evelyn1224@foxmail.com
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
N/A
Sampling Method
Non-Probability Sample
Study Population
hepatocellular carcinoma
Description
Inclusion Criteria:
- Patients diagnosed with "Hepatocellular Carcinoma" from January 1, 2018 to May 31, 2024;
- Age > 18 years old.
Exclusion Criteria:
- Poor image quality;
- Loss of follow-up;
- Presence of another type of malignant tumor other than liver cancer;
- Incomplete medical records.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
OS
Time Frame: After the TACE procedure until May 1, 2025
|
After the TACE procedure until May 1, 2025
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
PFS
Time Frame: After the TACE procedure until May 1, 2025
|
After the TACE procedure until May 1, 2025
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 1, 2025
Primary Completion (Estimated)
December 31, 2025
Study Completion (Estimated)
November 1, 2026
Study Registration Dates
First Submitted
November 14, 2025
First Submitted That Met QC Criteria
November 14, 2025
First Posted (Actual)
November 19, 2025
Study Record Updates
Last Update Posted (Actual)
November 19, 2025
Last Update Submitted That Met QC Criteria
November 14, 2025
Last Verified
November 1, 2025
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- [2025](1186)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.