Cargando…
Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategies
Autores principales: | Leibfarth, Sara, Simoncic, Urban, Mönnich, David, Welz, Stefan, Schmidt, Holger, Schwenzer, Nina, Zips, Daniel, Thorwarth, Daniela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869757/ https://www.ncbi.nlm.nih.gov/pubmed/26872789 http://dx.doi.org/10.1007/s00259-016-3307-7 |
Ejemplares similares
-
Comparison of DCE‐MRI kinetic parameters and FMISO‐PET uptake parameters in head and neck cancer patients
por: Simoncic, Urban, et al.
Publicado: (2017) -
Assessment of image quality of a radiotherapy-specific hardware solution for PET/MRI in head and neck cancer patients
por: Winter, René M., et al.
Publicado: (2018) -
Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models
por: Boeke, Simon, et al.
Publicado: (2023) -
Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy()
por: Socarrás Fernández, Jairo A, et al.
Publicado: (2020) -
Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy
por: Leibfarth, Sara, et al.
Publicado: (2018)