The Value of Preoperative Diagnosis and Prognostic Prediction Based on Radiomics of Giant Cell Tumor of Spine
NCT04952818 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2021-07-07
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.
Conditions
- Spinal Tumor
Interventions
- DIAGNOSTIC_TEST
-
RANK/RANKL(RANK: Receptor Activator of Nuclear factor Kappa-Β /RANKL:Receptor Activator of Nuclear factor Kappa-Β Ligand)
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).
Sponsors & Collaborators
-
Peking University Third Hospital
lead OTHER
Principal Investigators
-
Ning Lang · Peking University Third Hospital
Eligibility
- Min Age
- 1 Year
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-01
- Primary Completion
- 2020-03-01
- Completion
- 2020-03-01
Countries
- China
Study Locations
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