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Brief Title: The Value of Preoperative Diagnosis and Prognostic Prediction Based on Radiomics of Giant Cell Tumor of Spine
Official Title: Radiomics Based on Preoperative Imaging of Giant Cell Tumor of the Spine to Predict the Early Recurrence and Survival of Giant Cell Tumor of the Spine After Surgery, and the Expression Levels of P53, VEGF, RANK, RANKL and Other Prognostic-related Molecular Markers.
Study ID: NCT04952818
Brief Summary: 1. Exploit CT (plain scan), enhanced CT and fMRI based radiomic biomarkers, explore their correlation with the prognostic molecular markers of spinal GCTB(p53/vegf/rank/rankl...), and help accurate diagnosis of GCTB. 2. Exploring a new method of preoperative risk stratification for spinal GCTB, and establishing radiomic model combined with clinical features. Exploring the GCTB biological behavior prediction model and the prognosis prediction of GCTB.
Detailed Description: This study intends to conduct a systematic review of patients with spinal GCTB who have undergone standardized imaging (CT or MRI) in our hospital since 2006 to obtain case samples, conduct standardized clinical and imaging data extraction and analysis, and fully integrate histopathology and clinical follow-up results. To preliminarily explore the value of postoperative imaging-based radiomics markers in the preoperative precise diagnosis of spinal GCTB, risk stratification and prediction of tumor biological behavior.
Minimum Age: 1 Year
Eligible Ages: CHILD, ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Peking University third hospital, Beijing, Please Select An Option Below, China
Name: Ning Lang
Affiliation: Peking University Third Hospital
Role: STUDY_CHAIR