Peking University third hospital
Beijing, Please Select An Option Below, 100089, China
NCT Number: NCT04952818
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.
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Notify Me1 year–100 year
All sexes
Observational
Beijing, Please Select An Option Below, 100089, China
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Immunohistochemical staining was performed using the following antibodies: anti-RANK antibody from Bioss Company (No.bs-2695R) and anti-RANKL antibody from Abcam (No.ab222215).
Time frame: 2020
Grade:low;high(Receptor Activator of Nuclear factor Kappa-Β/Ligand)
Time frame: 2020
Grade:low;high(Vascular Endothelial Growth Factors)
Time frame: 2020
Grade:low;high(Tumor Suppressor Protein)
Time frame: 2020
recurrence group/non-recurrence group
Peking University Third Hospital
Other
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.
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