Low Grade Gliomas Modelling

Ermir Roci, Arben Rroji, Gentian Kaloshi, Mentor Petrela

Abstract: Patient-specific models can be used to overcome imaging limitations, improve prognostic predictions, stratify patients, and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. The aim of the study is to review the growing literature of patient-specific models to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific mathematical neuro-oncology models.

Keywords: glioma, mathematical modeling, patient, prediction