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This is the prospective, observational cohort study (Radiogenomics-Liver), which aims to explore the relationship between the imaging information of liver cancer patients, tumor microenvironment and the prognosis of liver cancer patients.
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| Measure | Description | Time Frame |
|---|---|---|
| Correlation analysis of sequencing results and body composition | Conducting correlation analysis between body composition and results of multi-omics sequencing | 0.5 year |
| Correlation analysis of sequencing results and tumor radiomic features | Conducting correlation analysis between radiomic features and results of multi-omics sequencing | 0.5 year |
| Measure | Description | Time Frame |
|---|---|---|
| Constructing tumor microenvironment prediction model | Constructing radiomic model to predict tumor microenvironment. The indicator is the area under the curve (AUC) of the prediction model | 2 years |
| Constructing a multi-dimensional prognostic prediction model |
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Inclusion Criteria:
Exclusion criteria：
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Patients treated for liver cancer
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Lian Yang | Contact | 18986273791 | yanglian@hust.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Union Hospital，Tongji Medical College，Huazhong University of Science and Technology | Recruiting | Wuhan | Hubei | 430000 | China |
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| ID | Term |
|---|---|
| D008113 | Liver Neoplasms |
| ID | Term |
|---|---|
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
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A high-dimensional model was constructed to predict the prognosis of patients through multi-omics sequencing data, body composition, and tumor radiomic features. The indicator is the area under the curve (AUC) of the prediction model |
| 3 years |
| D008107 |
| Liver Diseases |