We present an application of a previously developed agent-based glioma model (Chen et al
2009 Biosystems 95 234–42) for predicting spatio-temporal tumor progression using a …

Rationale and Objectives Diffusion tensor imaging has been used to characterize tumor
heterogeneity and invasion in human glioblastoma. Recently, higher order diffusion tensors …

Objectives: To explore the efficacy of diffusion weighted imaging (DWI)-derived metrics
under different models as surrogate indicators for molecular biomarkers and tumor …

Monitoring glioma cell infiltration in the brain is critical for diagnosis and therapy. Using a
new glioma Glio6 mouse model derived from human stem cells we show how diffusion …

Previous studies to simulate brain tumor progression, often investigate either temporal
changes in cancer cell density or the overall tissue-level growth of the tumor mass. Here, we …

Diffuse gliomas are malignant brain tumors that grow widespread through the brain. The
complex interactions between neoplastic cells and normal tissue, as well as the treatment …

Glioblastoma (GBM) is the commonest primary malignant brain tumor in adults, and despite
advances in multi-modality therapy, the outlook for patients has changed little in the last 10 …

This paper presents a content based modified reaction diffusion (RD) equation for modeling
glioma growth. The reaction diffusion equation is modified by a weighted parameter that …

Background The isocitrate dehydrogenase (IDH) genotype and 1p/19q codeletion status are
key molecular markers included in glioma pathologic diagnosis. Advanced diffusion models …

Purpose Diffusion-weighted imaging (DWI) plays an important role in the preoperative
assessment of gliomas; however, the diagnostic performance of histogram-derived …