[HTML][HTML] Mathematical modeling of brain metastases growth and response to therapies: A review

B Ocaña-Tienda, VM Pérez-García - Mathematical Biosciences, 2024 - Elsevier
Brain metastases (BMs) are the most common intracranial tumor type and a significant
health concern, affecting approximately 10% to 30% of all oncological patients. Although …

The Next Frontier in Health Disparities—A Closer Look at Exploring Sex Differences in Glioma Data and Omics Analysis, from Bench to Bedside and Back

M Diaz Rosario, H Kaur, E Tasci, U Shankavaram… - Biomolecules, 2022 - mdpi.com
Sex differences are increasingly being explored and reported in oncology, and glioma is no
exception. As potentially meaningful sex differences are uncovered, existing gender-derived …

Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers

J Jiménez-Sánchez, JJ Bosque… - Proceedings of the …, 2021 - National Acad Sciences
Human cancers are biologically and morphologically heterogeneous. A variety of clonal
populations emerge within these neoplasms and their interaction leads to complex …

Quantitative in vivo imaging to enable tumour forecasting and treatment optimization

G Lorenzo, DA Hormuth II, AM Jarrett… - Cancer, complexity …, 2022 - Springer
Current clinical decision-making in oncology relies on averages of large patient populations
to both assess tumour status and treatment outcomes. However, cancers exhibit an inherent …

Modelling glioma progression, mass effect and intracranial pressure in patient anatomy

J Lipková, B Menze, B Wiestler… - Journal of the …, 2022 - royalsocietypublishing.org
Increased intracranial pressure is the source of most critical symptoms in patients with
glioma, and often the main cause of death. Clinical interventions could benefit from non …

Profiling of novel circulating microRNAs as a non-invasive biomarker in diagnosis and follow-up of high and low-grade gliomas

A Tabibkhooei, M Izadpanahi, A Arab… - Clinical Neurology and …, 2020 - Elsevier
Objective Glioblastoma (GBM) is the most common primary malignant neoplasm of the
central nervous system (CNS). Despite the progress in therapeutic strategies such as …

An image-based modeling framework for predicting spatiotemporal brain cancer biology within individual patients

KM Bond, L Curtin, S Ranjbar, AE Afshari, LS Hu… - Frontiers in …, 2023 - frontiersin.org
Imaging is central to the clinical surveillance of brain tumors yet it provides limited insight
into a tumor's underlying biology. Machine learning and other mathematical modeling …

Learning equations from biological data with limited time samples

JT Nardini, JH Lagergren, A Hawkins-Daarud… - Bulletin of mathematical …, 2020 - Springer
Equation learning methods present a promising tool to aid scientists in the modeling process
for biological data. Previous equation learning studies have demonstrated that these …

Calibrating tumor growth and invasion parameters with spectral spatial analysis of cancer biopsy tissues

S Pasetto, M Montejo, MU Zahid, M Rosa… - npj Systems Biology …, 2024 - nature.com
The reaction-diffusion equation is widely used in mathematical models of cancer. The
calibration of model parameters based on limited clinical data is critical to using reaction …

Brain Metastasis response to stereotactic radio surgery: A mathematical approach

O Leon-Triana, J Perez-Beteta, D Albillo… - Mathematics, 2021 - mdpi.com
Brain metastases (BMs) are cancer cells that spread to the brain from primary tumors in
other organs. Up to 35% of adult cancer patients develop BMs. The treatment of BM patients …