Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression.

Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression.

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http://www.wikidata.org/entity/Q37088426
Treatment of non-muscle invasive bladder cancer with Bacillus Calmette-Guerin (BCG): Biological markers and simulation studiesCurrent advances in mathematical modeling of anti-cancer drug penetration into tumor tissuesPatient-specific mathematical neuro-oncology: using a simple proliferation and invasion tumor model to inform clinical practiceRadiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approachesGene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patientsToward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma.Incidence of Tumour Progression and Pseudoprogression in High-Grade Gliomas: a Systematic Review and Meta-Analysis.Pseudo progression identification of glioblastoma with dictionary learningTumor growth rate is an early indicator of antitumor drug activity in phase I clinical trialsKey signaling pathways in the muscle-invasive bladder carcinoma: Clinical markers for disease modeling and optimized treatment.Mathematical Based Calculation of Drug Penetration Depth in Solid Tumors.A patient-specific computational model of hypoxia-modulated radiation resistance in glioblastoma using 18F-FMISO-PET.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.MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis.Advances in Glioblastoma Multiforme Treatment: New Models for Nanoparticle Therapy.
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Response classification based on a minimal model of glioblastoma growth is prognostic for clinical outcomes and distinguishes progression from pseudoprogression.

Item
http://www.wikidata.org/entity/Q37088426
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 11 February 2013
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Response classification based ...... ession from pseudoprogression.
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Response classification based ...... ession from pseudoprogression.
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type
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Response classification based ...... ession from pseudoprogression.
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Response classification based ...... ession from pseudoprogression.
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Response classification based ...... ession from pseudoprogression.
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Response classification based ...... ession from pseudoprogression.
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Response classification based ...... ession from pseudoprogression.
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10.1158/0008-5472.CAN-12-3588
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