Prognostic Value and Quantitative CT Analysis in RANKL Expression of Spinal GCTB in the Denosumab Era: A Machine Learning Approach

Prognostic Value and Quantitative CT Analysis in RANKL Expression of Spinal GCTB in the Denosumab Era: A Machine Learning Approach

The receptor activator of the nuclear factor kappa B ligand (RANKL) is the therapeutic target of denosumab. In this study, we evaluated whether radiomics signature and machine learning analysis can predict RANKL status in spinal giant cell tumors of bone (GCTB). This retrospective study consisted of...

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Bibliographic Details
Main Authors: Qizheng Wang, Yongye Chen, Siyuan Qin, Xiaoming Liu, Ke Liu, Peijin Xin, Weili Zhao, Huishu Yuan, Ning Lang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Cancers
Subjects:
giant cell tumor of bone
prognosis
tomography
RANKL
radiomics
Online Access:https://www.mdpi.com/2072-6694/14/21/5201

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