According to a study in the Journal of Theoretical Biology a team of experts have created a computational model to predict brain tumor progression with more accuracy.
The research involved the analyzing of MRI data from glioblastoma multiforme (GBM) sufferers by experts at the University of Waterloo and the University of Toronto.
“In this paper, we develop and apply a deep learning model capable of making accurate estimates of these key GBM-characterizing parameters while simultaneously producing a full prediction of the tumour progression curve,” the authors mentioned in their research report.
“Our method uses two sets of multi sequence MRI in order to produce estimations and relies on a preprocessing pipeline which includes brain tumour segmentation and conversion to tumour cellularity.”
“Our work provides a new, easily generalizable method for the estimation of patient-specific tumour parameters, which can be built upon to aid physicians in designing personalized treatments.”
The report was released January 21, 2023.
