Cargando…
Prediction of the early recurrence in spinal giant cell tumor of bone using radiomics of preoperative CT: Long-term outcome of 62 consecutive patients
OBJECTIVES: To determine if radiomics analysis based on preoperative computed tomography (CT) can predict early postoperative recurrence of giant cell tumor of bone (GCTB) in the spine. METHODS: In a retrospective review, 62 patients with pathologically confirmed spinal GCTB from March 2008 to Febru...
Autores principales: | Wang, Qizheng, Zhang, Yang, Zhang, Enlong, Xing, Xiaoying, Chen, Yongye, Su, Min-Ying, Lang, Ning |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039834/ https://www.ncbi.nlm.nih.gov/pubmed/33850701 http://dx.doi.org/10.1016/j.jbo.2021.100354 |
Ejemplares similares
-
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) -
Primary leiomyosarcoma of the spine: an analysis of imaging manifestations and clinicopathological findings
por: Zhang, Jiahui, et al.
Publicado: (2022) -
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) -
Radiomics from Mesorectal Blood Vessels and Lymph Nodes: A Novel Prognostic Predictor for Rectal Cancer with Neoadjuvant Therapy
por: Qin, Siyuan, 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)