Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)
NCT07059936 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 350
Last updated 2025-07-22
Summary
CT imaging data and MR imaging data from liver cancer (hepatocellular carcinoma) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.
Conditions
- Hepatocellular Carcinoma (HCC)
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-07-31
- Primary Completion
- 2026-09-30
- Completion
- 2026-09-30
Countries
- China
Study Locations
More Related Trials
-
Radiomics for Diagnosing Liver Diseases and Evaluating Progression
NCT03221049 ·Status: UNKNOWN
-
Clinical Application of Quantitative Major Imaging Features of CEUS LI-RADS
NCT06590948 ·Status: RECRUITING
-
Study on the Quantitative Assessment of the Risk of Hepatocellular Carcinoma in Patients With Chronic Liver Disease Using Multi-parameter Magnetic Resonance Imaging
NCT06060769 ·Status: RECRUITING
-
The AI Prognostic Assessment and Pathological Basis Research of Early HCC After Minimally Invasive Treatment
NCT04299919 ·Status: UNKNOWN
-
Artificially Intelligent Model for Accurate Detection of HCC
NCT06637059 ·Status: COMPLETED
-
Clinical Decision Biological Biomarker and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning
NCT05257694 ·Status: RECRUITING
-
A Prototype AI Algorithm Versus Liver Imaging Reporting and Data System (LI-RADS) Criteria in Diagnosing HCC on CT
NCT06626087 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence vs. LIRADS in Diagnosing HCC on CT
NCT04843176 ·Status: RECRUITING ·Phase: NA
-
An Exploratory Study on Developing an Integrated Approach Combining Multimodal Imaging and Multi-omics Characterization of Tumor Heterogeneity for Precision Diagnosis and Treatment Optimization in Liver Cancer.
NCT07101237 ·Status: RECRUITING
-
The Evaluation of Surgical Decisions and Prognosis of the Radiomics and Watson Artificial Intelligence in Patients With Hepatocellular Carcinoma
NCT03917017 ·Status: UNKNOWN ·Phase: NA
-
Detect and Expunge Concealed Tumors of the Liver
NCT06141564 ·Status: ACTIVE_NOT_RECRUITING
-
Radiomics-based Non-invasive Classifier Research for HCC-related Liver Transplantation
NCT03981848 ·Status: UNKNOWN
-
Hepatic Arteriography in Liver Cancer Diagnosis and Staging Applications
NCT02936856 ·Status: UNKNOWN ·Phase: NA
-
Low Contrast Agent and Radiation Dose Protocol for Liver CT in Patients With HCC
NCT04722120 ·Status: COMPLETED ·Phase: NA
-
Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
NCT03198975 ·Status: UNKNOWN
-
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
NCT07235410 ·Status: RECRUITING
-
Electromagnetic Tracking and Optical Imaging With ICG for Hepatic Biopsies
NCT04258566 ·Status: TERMINATED ·Phase: NA
-
CT Image-assisted Detection Software for Focal Liver Lesions
NCT06068413 ·Status: COMPLETED ·Phase: NA
-
Application Value of CEUS Li-RADS in Hepatic Focal Lesions in Patients With Non-high Risk Factors for HCC
NCT04920214 ·Status: UNKNOWN
-
Precision Medicine for Liver Tumours With Quantitative Magnetic Resonance Imaging and Whole Genome Sequencing
NCT04597710 ·Status: ACTIVE_NOT_RECRUITING
-
Phenotyping Liver Cancer Registry
NCT04681274 ·Status: COMPLETED
-
Fusion Imaging Contrast-enhanced Ultrasound LI-RADS
NCT04955119 ·Status: UNKNOWN ·Phase: NA
-
Deep Learning Image Reconstruction for Abdominal CT of Hepatocellular Carcinoma Compared With 3-TESLA MRI
NCT06037343 ·Status: COMPLETED
-
Quantitative CT Imaging Parameters for Assessing Hepatic Steatosis in CHB
NCT06616103 ·Status: NOT_YET_RECRUITING
-
Registration and Fusion of Real-Time Ultrasound With CT for Lesion Localization and Characterization
NCT00586235 ·Status: COMPLETED