Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
In this study, a new post-processing image technology - radiomics is used to screen out parameters of CT and MRI images, which could effectively evaluate the efficacy and prognosis of immunotherapy plus targeted therapy for soft tissue sarcoma (STS). A reliable and effective model for predicting the prognosis of STS will be established based on the radiomic parameters combined with traditional imaging, histophiological, whole exome sequencing (WES) results, inflammatory indicators and changes in the number and function of lymphocyte subsets before and after medication. Patients with advanced STS who may benefit from the combination therapy can be found out by this model.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| The accuracy of Geno-radiomics-based model for response evaluation of immunotherapy and targeted therapy for advanced soft tissue sarcoma | Receiver operating characteristic (ROC) curves and area under the curve (AUC) are used to evaluate the accuracy of the model | From the start of randomization to a minimum of 42 months |
| Measure | Description | Time Frame |
|---|---|---|
| The accuracy of Geno-radiomics-based model for predicting prognosis of immunotherapy and targeted therapy for advanced soft tissue sarcoma | ROC curves and AUC are used to evaluate the accuracy of the model | From the start of randomization to a minimum of 42 months |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Patients with advanced soft tissue sarcoma receiving immunotherapy plus targeted therapy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiang Wang | Contact | 69158754 | wangxiang5123@126.com |
| Name | Affiliation | Role |
|---|---|---|
| Xiang Wang | Peking Union Medical College Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College | Recruiting | Beijing | Beijing Municipality | 100032 | China |
Not provided
Not provided
Not provided
Not provided
|