Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric
about
Patient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practiceThe Force at the Tip--Modelling Tension and Proliferation in Sprouting AngiogenesisTowards the Personalized Treatment of Glioblastoma: Integrating Patient-Specific Clinical Data in a Continuous Mechanical ModelPredicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status.Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patientsAssessment and treatment relevance in elderly glioblastoma patients.Patient-specific metrics of invasiveness reveal significant prognostic benefit of resection in a predictable subset of gliomasToward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma.Toward a science of tumor forecasting for clinical oncology.From patient-specific mathematical neuro-oncology to precision medicineImage based modeling of tumor growth.A Proposed Paradigm Shift in Initializing Cancer Predictive Models with DCE-MRI Based PK Parameters: A Feasibility Study.In silico analysis suggests differential response to bevacizumab and radiation combination therapy in newly diagnosed glioblastoma.3D Mathematical Modeling of Glioblastoma Suggests That Transdifferentiated Vascular Endothelial Cells Mediate Resistance to Current Standard-of-Care Therapy.Chemotherapeutic Dose Scheduling Based on Tumor Growth Rates Provides a Case for Low-Dose Metronomic High-Entropy Therapies.The biology and mathematical modelling of glioma invasion: a review.Mathematical model of perineural tumor spread: a pilot study.Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.Expert-validated CSF segmentation of MNI atlas enhances accuracy of virtual glioma growth patterns.
P2860
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P2860
Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Discriminating survival outcom ...... tient-specific response metric
@ast
Discriminating survival outcom ...... tient-specific response metric
@en
Discriminating survival outcom ...... tient-specific response metric
@nl
type
label
Discriminating survival outcom ...... tient-specific response metric
@ast
Discriminating survival outcom ...... tient-specific response metric
@en
Discriminating survival outcom ...... tient-specific response metric
@nl
prefLabel
Discriminating survival outcom ...... tient-specific response metric
@ast
Discriminating survival outcom ...... tient-specific response metric
@en
Discriminating survival outcom ...... tient-specific response metric
@nl
P2093
P2860
P50
P1433
P1476
Discriminating survival outcom ...... tient-specific response metric
@en
P2093
Albert Lai
Anne L Baldock
Carly A Bridge
Jason K Rockhill
Kristin R Swanson
Maciej M Mrugala
Sunyoung Ahn
Timothy F Cloughesy
Tyler Cloke
P2860
P304
P356
10.1371/JOURNAL.PONE.0051951
P407
P577
2013-01-23T00:00:00Z