Cargando…
Prognostic Value and Quantitative CT Analysis in RANKL Expression of Spinal GCTB in the Denosumab Era: A Machine Learning Approach
SIMPLE SUMMARY: Prognostic assessment of giant cell tumor of bone (GCTB) is an ongoing challenge in the treatment and management of bone tumors. Recurrence rates of spinal GCTB are higher compared to GCTB in other bone sites, presumably due to a more aggressive pathology and/or the conservative surg...
Autores principales: | Wang, Qizheng, Chen, Yongye, Qin, Siyuan, Liu, Xiaoming, Liu, Ke, Xin, Peijin, Zhao, Weili, Yuan, Huishu, Lang, Ning |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658803/ https://www.ncbi.nlm.nih.gov/pubmed/36358621 http://dx.doi.org/10.3390/cancers14215201 |
Ejemplares similares
-
MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases
por: Chen, Yongye, et al.
Publicado: (2023) -
Prediction of Primary Tumor Sites in Spinal Metastases Using a ResNet-50 Convolutional Neural Network Based on MRI
por: Liu, Ke, et al.
Publicado: (2023) -
Differentiation of predominantly osteolytic from osteoblastic spinal metastases based on standard magnetic resonance imaging sequences: a comparison of radiomics model versus semantic features logistic regression model findings
por: Liu, Ke, et al.
Publicado: (2022) -
A Multiparametric Method Based on Clinical and CT-Based Radiomics to Predict the Expression of p53 and VEGF in Patients With Spinal Giant Cell Tumor of Bone
por: Wang, Qizheng, et al.
Publicado: (2022) -
Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study
por: Wang, Qizheng, et al.
Publicado: (2023)