Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model. - Wikidata - awgldk - TriplyDB

Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model.

Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model.

http://www.wikidata.org/entity/Q42434135

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Classical mathematical models for description and prediction of experimental tumor growth In silico modelling of tumour margin diffusion and infiltration: review of current status.Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practice Fast and high temperature hyperthermia coupled with radiotherapy as a possible new treatment for glioblastoma.Gefitinib selectively inhibits tumor cell migration in EGFR-amplified human glioblastoma Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer Advanced magnetic resonance imaging of the physical processes in human glioblastoma.Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status.Magnetic resonance imaging characteristics of glioblastoma multiforme: implications for understanding glioma ontogeny.Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients Prediction of glioblastoma multiform response to bevacizumab treatment using multi-parametric MRI.Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomas Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric Nonlinear registration of longitudinal images and measurement of change in regions of interest Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma.Glial progenitor cell recruitment drives aggressive glioma growth: mathematical and experimental modelling.Growth dynamics of untreated glioblastomas in vivo.Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas.From patient-specific mathematical neuro-oncology to precision medicine Modeling Tumor-Associated Edema in Gliomas during Anti-Angiogenic Therapy and Its Impact on Imageable Tumor Integrative physical oncology Safety and maximum tolerated dose of superselective intraarterial cerebral infusion of bevacizumab after osmotic blood-brain barrier disruption for recurrent malignant glioma. Clinical article Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression.Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach.A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.Clinically relevant modeling of tumor growth and treatment response.Delayed initiation of radiotherapy for glioblastoma: how important is it to push to the front (or the back) of the line?The role of IDH1 mutated tumour cells in secondary glioblastomas: an evolutionary game theoretical view A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma.Image based modeling of tumor growth.Significance of Inactivated Genes in Leukemia: Pathogenesis and Prognosis Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas.Image-driven modeling of the proliferation and necrosis of glioblastoma multiforme.Radial expansion rates and tumor growth kinetics predict malignant transformation in contrast-enhancing low-grade diffuse astrocytoma.Hypoxic cell waves around necrotic cores in glioblastoma: a biomathematical model and its therapeutic implications.Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma Modeling the efficacy of the extent of surgical resection in the setting of radiation therapy for glioblastoma.Quantifying the role of angiogenesis in malignant progression of gliomas: in silico modeling integrates imaging and histology

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P2860

Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model.

http://www.wikidata.org/entity/Q42434135

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Prognostic significance of gro ...... a novel biomathematical model.

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Cancer Research

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P2860

Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma

Positron emission tomography imaging of brain tumors.

Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging.

Survival rates in patients with primary malignant brain tumors stratified by patient age and tumor histological type: an analysis based on Surveillance, Epidemiology, and End Results (SEER) data, 1973-1991.

A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival.

Receptor-mediated adhesion phenomena. Model studies with the Radical-Flow Detachment Assay.

Complementary but distinct roles for MRI and 18F-fluoromisonidazole PET in the assessment of human glioblastomas.

A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment

In silico cancer modeling: is it ready for prime time?

Factors influencing survival in high-grade gliomas.

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