Glioblastoma growth modeling for radiotherapy target delineation.
Abstract
Radiotherapy treatment planning requires a localization of the tumor within the patient. This is challenging to accomplish for micro- scopic in ltrative spread of disease that is not visible on current imaging modalities. Prime examples for in ltrative tumors are gliomas. With the help of mathematical models, common growth characteristics of gliomas, which are known from histopathological studies, can be incorporated in radiotherapy target delineation. This requires an imaging based personal- ization of the model to the individual patient. We demonstrate use cases of the Fisher-Kolmogorov glioma growth model in radiotherapy planning of a clinical case. We further analyze the crucial input parameters to the model, in particular, the need for reliable segmentation of anatomical boundaries such as the falx cerebri and the tentorium cerebelli.