From patient-specific mathematical neuro-oncology to precision medicine (Q36733380)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23565501%20AND%20SRC:MED&resulttype=core&format=json

28 February 2020

title

From patient-specific mathematical neuro-oncology to precision medicine (English)

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28 February 2020

1 reference

2

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Andrew D Trister

9

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28 February 2020

author name string

A L Baldock

1

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28 February 2020

A D Boone

3

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28 February 2020

M L Neal

4

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28 February 2020

A Hawkins-Daarud

5

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28 February 2020

D M Corwin

6

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28 February 2020

C A Bridge

7

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28 February 2020

L A Guyman

8

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M M Mrugala

10

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28 February 2020

J K Rockhill

11

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28 February 2020

K R Swanson

12

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28 February 2020

publication date

2 April 2013

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28 February 2020

published in

Frontiers in Oncology

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28 February 2020

volume

3

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28 February 2020

page(s)

62

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Discriminating survival outcomes in patients with glioblastoma using a simulation-based, patient-specific response metric

28 February 2020

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Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach.

30 September 2017

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Current progress in patient-specific modeling

30 September 2017

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Quantitative metrics of net proliferation and invasion link biological aggressiveness assessed by MRI with hypoxia assessed by FMISO-PET in newly diagnosed glioblastomas

30 September 2017

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Pseudoprogression and pseudoresponse: challenges in brain tumor imaging

30 September 2017

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Computer modeling of brain tumor growth

30 September 2017

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A mathematical model for brain tumor response to radiation therapy.

30 September 2017

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Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas

30 September 2017

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Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm

30 September 2017

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A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle

30 September 2017

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Chemoradiotherapy in malignant glioma: standard of care and future directions

30 September 2017

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The 2007 WHO classification of tumours of the central nervous system

30 September 2017

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The evolution of mathematical modeling of glioma proliferation and invasion.

30 September 2017

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RECIST revisited: a review of validation studies on tumour assessment

30 September 2017

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Validation of neuroradiologic response assessment in gliomas: measurement by RECIST, two-dimensional, computer-assisted tumor area, and computer-assisted tumor volume methods

30 September 2017

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Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation

30 September 2017

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

30 September 2017

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Cost of Migration: Invasion of Malignant Gliomas and Implications for Treatment

30 September 2017

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Quantifying efficacy of chemotherapy of brain tumors with homogeneous and heterogeneous drug delivery

30 September 2017

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Virtual brain tumours (gliomas) enhance the reality of medical imaging and highlight inadequacies of current therapy

30 September 2017

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Adaptive IMRT using a multiobjective evolutionary algorithm integrated with a diffusion-invasion model of glioblastoma

30 September 2017

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Quantifying the role of angiogenesis in malignant progression of gliomas: in silico modeling integrates imaging and histology

28 June 2018

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28 June 2018

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28 June 2018

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28 June 2018

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Quantitative modeling of tumor dynamics and radiotherapy.

28 June 2018

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5 September 2018

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Diffuse low-grade oligodendrogliomas extend beyond MRI-defined abnormalities

5 September 2018

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Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group

5 September 2018

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Predictive value of multimodality MRI using conventional, perfusion, and spectroscopy MR in anaplastic transformation of low-grade oligodendrogliomas

5 September 2018

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Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations

5 September 2018

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Velocity of radial expansion of contrast-enhancing gliomas and the effectiveness of radiotherapy in individual patients: a proof of principle.

5 September 2018

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Integrative mathematical oncology.

5 September 2018

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Mathematical modeling of brain tumors: effects of radiotherapy and chemotherapy.

5 September 2018

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Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas

5 September 2018

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A four-dimensional computer simulation model of the in vivo response to radiotherapy of glioblastoma multiforme: studies on the effect of clonogenic cell density

5 September 2018

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A fully automatic and robust brain MRI tissue classification method

5 September 2018

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The extent of intracranial gliomata at autopsy and its relationship to techniques used in radiation therapy of brain tumors.

5 September 2018

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Continuous growth of mean tumor diameter in a subset of grade II gliomas

5 September 2018

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Mathematical oncology: cancer summed up.

5 September 2018

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Effects of radiation on a three-dimensional model of malignant glioma invasion.

5 September 2018

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The RECIST (Response Evaluation Criteria in Solid Tumors) criteria: implications for diagnostic radiologists

5 September 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/23565501

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.3389/FONC.2013.00062

1 reference

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release_xdeo4iaoivbitg66r5tv4wzdoa

28 February 2020

Fatcat ID

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/xdeo4iaoivbitg66r5tv4wzdoa

mapped directly with Wikidata item

24 November 2022

based on heuristic

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23565501%20AND%20SRC:MED&resulttype=core&format=json

28 February 2020

PubMed publication ID

23565501

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:23565501%20AND%20SRC:MED&resulttype=core&format=json