This study aims to assess multimodal Radiomics-based prediction model for prognostic prediction in spinal tumors.
Sensitivity for prediction recurrence and survival of currently available prognostic scores is limited. This study proposes to establish a multimodal radiomics model for identifying tumor recurrence and prognostic prediction of spinal tumors. The study will investigate the relationship between the radiomics and the tumor microenvironment. The study includes the construction of multimodal radiomics-based prediction model and the validation of the prediction model.
Study Type
OBSERVATIONAL
Enrollment
300
As this is a prognosis evaluation study, there are no interventions.
Department of Radiation Oncology Cancer Center, Peking University Third Hospital 49# North Garden Rd.,Haidian Dist.
Beijing, Beijing Municipality, China
PFS
progression-free survival
Time frame: 1 years
Overall survival (OS)
defined as the time from the beginning of diagnosis of spinal tumors to the death with any causes
Time frame: 1 years
ORR
objective response rate
Time frame: 3 months
DCR
disease control rate
Time frame: 3 months
Recurrence free survival (RFS)
defined as time between randomization and the time of any recurrence of ipsilateral chest, breast, regional lymph node recurrence, distant metastases, or death occurred
Time frame: 1 year
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