Radiotherapy planning for glioblastoma based on a tumor growth model: implications for spatial dose redistribution

J Unkelbach, BH Menze, E Konukoglu… - Physics in Medicine …, 2014 - iopscience.iop.org
Gliomas differ from many other tumors as they grow infiltratively into the brain parenchyma
rather than forming a solid tumor mass with a well-defined boundary. Tumor cells can be …

Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation

J Unkelbach, BH Menze, E Konukoglu… - Physics in Medicine …, 2014 - iopscience.iop.org
Glioblastoma differ from many other tumors in the sense that they grow infiltratively into the
brain tissue instead of forming a solid tumor mass with a defined boundary. Only the part of …

Personalized radiotherapy design for glioblastoma: integrating mathematical tumor models, multimodal scans, and Bayesian inference

J Lipková, P Angelikopoulos, S Wu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Glioblastoma (GBM) is a highly invasive brain tumor, whose cells infiltrate surrounding
normal brain tissue beyond the lesion outlines visible in the current medical scans. These …

Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach

R Rockne, JK Rockhill, M Mrugala… - Physics in Medicine …, 2010 - iopscience.iop.org
Glioblastoma multiforme (GBM) is the most malignant form of primary brain tumors known as
gliomas. They proliferate and invade extensively and yield short life expectancies despite …

Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma

D Corwin, C Holdsworth, RC Rockne, AD Trister… - PloS one, 2013 - journals.plos.org
Purpose To demonstrate a method of generating patient-specific, biologically-guided
radiotherapy dose plans and compare them to the standard-of-care protocol. Methods and …

A feasibility study of personalized prescription schemes for glioblastoma patients using a proliferation and invasion glioma model

M Kim, J Kotas, J Rockhill, M Phillips - Cancers, 2017 - mdpi.com
Purpose: This study investigates the feasibility of personalizing radiotherapy prescription
schemes (treatment margins and fractional doses) for glioblastoma (GBM) patients and their …

An estimation of radiobiologic parameters from clinical outcomes for radiation treatment planning of brain tumor

XS Qi, CJ Schultz, XA Li - … Journal of Radiation Oncology* Biology* Physics, 2006 - Elsevier
Purpose: To estimate a plausible set of radiobiologic parameters such as α, α/β values, from
clinical outcomes for biologically based radiation treatment planning of brain tumors …

A dosimetric comparison of four treatment planning methods for high grade glioma

L Zach, B Stall, H Ning, J Ondos, B Arora, S Uma… - Radiation …, 2009 - Springer
Background High grade gliomas (HGG) are typically treated with a combination of surgery,
radiotherapy and chemotherapy. Three dimensional (3D) conformal radiotherapy treatment …

Personalized radiotherapy planning based on a computational tumor growth model

M Lê, H Delingette, J Kalpathy-Cramer… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In this article, we propose a proof of concept for the automatic planning of personalized
radiotherapy for brain tumors. A computational model of glioblastoma growth is combined …

Evaluation of peritumoral edema in the delineation of radiotherapy clinical target volumes for glioblastoma

EL Chang, S Akyurek, T Avalos, N Rebueno… - International Journal of …, 2007 - Elsevier
Purpose: To evaluate the spatial relationship between peritumoral edema and recurrence
pattern in patients with glioblastoma (GBM). Methods and Materials: Forty-eight primary …