Influence of Dose/Volume Parameters, Equivalent Uniform Dose and Linear Quadratic Model on Prediction Power of NTCP Model for IMRT: Based on the Analysis of Brain Injury

2020 ◽  
Vol 108 (3) ◽  
pp. e850
Author(s):  
Q. Du ◽  
Y. Gan ◽  
F. Liang ◽  
S. Zhu ◽  
W. Liu ◽  
...  
Keyword(s):  
Brain Injury ◽  
Quadratic Model ◽  
Linear Quadratic ◽  
Equivalent Uniform Dose ◽  
Linear Quadratic Model ◽  
Dose Volume

scholarly journals Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Alexandros Roniotis ◽  
Kostas Marias ◽  
Vangelis Sakkalis ◽  
Georgios C. Manikis ◽  
Michalis Zervakis
Keyword(s):  
High Grade Glioma ◽  
Quadratic Model ◽  
Normal Brain ◽  
Linear Quadratic ◽  
Linear Quadratic Model ◽  
Diffusive Model ◽  
Glioma Model ◽  
Modern Application ◽  
Diffusion Tensors ◽  
Brain Atlases

Applying diffusive models for simulating the spatiotemporal change of concentration of tumour cells is a modern application of predictive oncology. Diffusive models are used for modelling glioblastoma, the most aggressive type of glioma. This paper presents the results of applying a linear quadratic model for simulating the effects of radiotherapy on an advanced diffusive glioma model. This diffusive model takes into consideration the heterogeneous velocity of glioma in gray and white matter and the anisotropic migration of tumor cells, which is facilitated along white fibers. This work uses normal brain atlases for extracting the proportions of white and gray matter and the diffusion tensors used for anisotropy. The paper also presents the results of applying this glioma model on real clinical datasets.

Sign in / Sign up

Export Citation Format

Share Document