Clinical implications of in silico mathematical modeling for glioblastoma: a critical review

M Protopapa, A Zygogianni, GS Stamatakos… - Journal of neuro …, 2018 - Springer
Glioblastoma remains a clinical challenge in spite of years of extensive research. Novel
approaches are needed in order to integrate the existing knowledge. This is the potential …

In silico mathematical modelling for glioblastoma: A critical review and a patient-specific case

J Falco, A Agosti, IG Vetrano, A Bizzi, F Restelli… - Journal of clinical …, 2021 - mdpi.com
Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the
prognosis is poor. A multidisciplinary approach combining mathematical, clinical and …

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 …

Mathematical model predicts response to radiotherapy of grade II gliomas

LP Romasanta, JB Beitia, AM González… - Reports of Practical …, 2013 - core.ac.uk
Background. We present a mathematical model for grade II glioma progression and
response to radiotherapy (RT) able to predict the long-time response to treatment. Materials …

In vitro glioblastoma models: A journey into the third dimension

M Paolillo, S Comincini, S Schinelli - Cancers, 2021 - mdpi.com
Simple Summary In this review, the thorny issue of glioblastoma models is addressed, with a
focus on 3D in vitro models. In the first part of the manuscript, glioblastoma features and …

[HTML][HTML] Critical parameters determining standard radiotherapy treatment outcome for glioblastoma multiforme: a computer simulation

DD Dionysiou, GS Stamatakos, D Gintides… - The open biomedical …, 2008 - ncbi.nlm.nih.gov
Critical Parameters Determining Standard Radiotherapy Treatment Outcome for Glioblastoma
Multiforme: A Computer Simulation - PMC Back to Top Skip to main content NIH NLM Logo …

Advances in computational and translational approaches for malignant glioma

AG Bhargav, JS Domino, AM Alvarado… - Frontiers in …, 2023 - frontiersin.org
Gliomas are the most common primary brain tumors in adults and carry a dismal prognosis
for patients. Current standard-of-care for gliomas is comprised of maximal safe surgical …

Radiomics Multifactorial in Silico Model for Spatial Prediction of Glioblastoma Progression and Recurrence: A Proof-of-Concept

S Luzzi, A Agosti - World Neurosurgery, 2024 - Elsevier
Background Radiomics-based prediction of glioblastoma spatial progression and
recurrence may improve personalized strategies. However, most prototypes are based on …

Establishment of a 3D Model to Characterize the Radioresponse of Patient-Derived Glioblastoma Cells

Z Strand, F Schrickel, S Dobiasch, AR Thomsen… - Cancers, 2023 - mdpi.com
Simple Summary Glioblastoma multiforme is an aggressive brain tumor with a poor survival
rate despite modern therapeutic options. In this context, advanced preclinical models and …

Prediction of outcomes with a computational biology model in newly diagnosed glioblastoma patients treated with radiation therapy and temozolomide

R Rahman, L Trippa, S Alden, G Fell, T Abbasi… - International Journal of …, 2020 - Elsevier
Purpose Precision medicine has been most successful in targeting single mutations, but
personalized medicine using broader genomic tumor profiles for individual patients is less …