Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Beijing, Beijing Municipality, 100032, China
Location status: Recruiting
NCT Number: NCT06062927
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.
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Beijing, Beijing Municipality, 100032, China
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From the start of randomization to a minimum of 42 months
Receiver operating characteristic (ROC) curves and area under the curve (AUC) are used to evaluate the accuracy of the model
Time frame: From the start of randomization to a minimum of 42 months
ROC curves and AUC are used to evaluate the accuracy of the model
Contact information is provided by the study sponsor or research team.
Peking Union Medical College Hospital
Other
Geno-radiomics Based Model for Response and Prognostic Evaluation of Immunotherapy and Targeted Therapy for Advanced Soft Tissue Sarcoma
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