Cargando…
CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib
BACKGROUND: To assess CT texture based quantitative imaging biomarkers in the prediction of progression free survival (PFS) and overall survival (OS) in patients with clear cell renal cell carcinoma undergoing treatment with Sunitinib. METHODS: In this retrospective study, measurable lesions of 40 p...
Autores principales: | Haider, Masoom A., Vosough, Alireza, Khalvati, Farzad, Kiss, Alexander, Ganeshan, Balaji, Bjarnason, Georg A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259868/ https://www.ncbi.nlm.nih.gov/pubmed/28114978 http://dx.doi.org/10.1186/s40644-017-0106-8 |
Ejemplares similares
-
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis
por: Eilaghi, Armin, et al.
Publicado: (2017) -
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
por: Khalvati, Farzad, et al.
Publicado: (2015) -
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account
por: Namdar, Khashayar, et al.
Publicado: (2021) -
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images
por: Zhang, Yucheng, et al.
Publicado: (2021) -
Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma
por: Khalvati, Farzad, et al.
Publicado: (2019)