Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy
Immunotherapy has become a fourth pillar in the treatment of brain tumors and, when
combined with radiation therapy, may improve patient outcomes and reduce the …
combined with radiation therapy, may improve patient outcomes and reduce the …
Mechanism-based modeling of tumor growth and treatment response constrained by multiparametric imaging data
Multiparametric imaging is a critical tool in the noninvasive study and assessment of cancer.
Imaging methods have evolved over the past several decades to provide quantitative …
Imaging methods have evolved over the past several decades to provide quantitative …
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images
Brain tumors are one of the major common causes of cancer-related death, worldwide.
Growth prediction of these tumors, particularly gliomas which are the most dominant type …
Growth prediction of these tumors, particularly gliomas which are the most dominant type …
Personalized radiotherapy design for glioblastoma: integrating mathematical tumor models, multimodal scans, and Bayesian inference
Glioblastoma (GBM) is a highly invasive brain tumor, whose cells infiltrate surrounding
normal brain tissue beyond the lesion outlines visible in the current medical scans. These …
normal brain tissue beyond the lesion outlines visible in the current medical scans. These …
[HTML][HTML] A physics-based model explains the prion-like features of neurodegeneration in Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis
Prion disease is characterized by a chain reaction in which infectious misfolded proteins
force native proteins into a similar pathogenic structure. Recent studies have reinforced the …
force native proteins into a similar pathogenic structure. Recent studies have reinforced the …
[HTML][HTML] Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data
The ability to accurately predict response and then rigorously optimize a therapeutic
regimen on a patient-specific basis, would transform oncology. Toward this end, we have …
regimen on a patient-specific basis, would transform oncology. Toward this end, we have …
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning
T Zhou, A Noeuveglise, R Modzelewski… - … Medical Imaging and …, 2023 - Elsevier
Brain tumor is one of the leading causes of cancer death. The high-grade brain tumors are
easier to recurrent even after standard treatment. Therefore, developing a method to predict …
easier to recurrent even after standard treatment. Therefore, developing a method to predict …
[PDF][PDF] Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy
AL Jenner, M Smalley, D Goldman, WF Goins… - Iscience, 2022 - cell.com
Oncolytic viruses (OVs) are emerging cancer immunotherapy. Despite notable successes in
the treatment of some tumors, OV therapy for central nervous system cancers has failed to …
the treatment of some tumors, OV therapy for central nervous system cancers has failed to …
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant …
AM Jarrett, DA Hormuth, SL Barnes… - Physics in Medicine …, 2018 - iopscience.iop.org
Clinical methods for assessing tumor response to therapy are largely rudimentary,
monitoring only temporal changes in tumor size. Our goal is to predict the response of breast …
monitoring only temporal changes in tumor size. Our goal is to predict the response of breast …
Mathematical modeling of glioma invasion: acid-and vasculature mediated go-or-grow dichotomy and the influence of tissue anisotropy
M Conte, C Surulescu - Applied Mathematics and Computation, 2021 - Elsevier
Starting from kinetic transport equations and subcellular dynamics we deduce a multiscale
model for glioma invasion relying on the go-or-grow dichotomy and the influence of …
model for glioma invasion relying on the go-or-grow dichotomy and the influence of …