Patient-specific tumour growth model for quantification of mechanical 'markers' in malignant gliomas: Implications for treatment outcomes.

Project Information

GlimS

Grant agreement ID: 753878

DOI

10.3030/753878

Project closed

EC signature date 9 March 2017

Start date 1 June 2017

End date 31 May 2020

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 247 840,20

EU contribution

€ 247 840,20

Coordinated by

UNIVERSITAET BERN
Switzerland

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (6)

TMIC-09. TOWARDS A FRAMEWORK FOR PREDICTIVE MATHEMATICAL MODELING OF THE BIOMECHANICAL FORCES CAUSING BRAIN TUMOR MASS-EFFECT

Author(s): Daniel Abler, Russell Rockne, Philippe Büchler
Published in: Neuro-Oncology, Issue 19/suppl_6, 2017, Page(s) vi245-vi245, ISSN 1522-8517
Publisher: Duke University Press
DOI: 10.1093/neuonc/nox168.999

Simulating Brain Tumour Mass-Effect

Author(s): D. Abler, R. Rockne, P. Büchler
Published in: 2018
Publisher: n.a.
DOI: 10.29007/t262

TMIC-19. USING QUANTITATIVE MR IMAGING TO RELATE GBM MASS EFFECT TO PERFUSION AND DIFFUSION CHARACTERISTICS OF THE TUMOR MICRO-ENVIRONMENT

Author(s): Daniel Abler, Prativa Sahoo, Kathryn Kingsmore, Jennifer Munson, Philippe Büchler, Russell Rockne
Published in: Neuro-Oncology, Issue 20/suppl_6, 2018, Page(s) vi260-vi260, ISSN 1522-8517
Publisher: Duke University Press
DOI: 10.1093/neuonc/noy148.1078

Image-based Parameter Optimization of a mechanically-coupled Brain Tumor Growth Model

Author(s): Abler, Daniel; Rockne, Russell; Büchler, Philippe
Published in: 2018
Publisher: n.a.
DOI: 10.5281/zenodo.1326940

TMOD-15. RELIABILITY OF IMAGING-BASED MEASURES OF TUMOR ‘MASS-EFFECT’– EVIDENCE FROM A COMPUTATIONAL STUDY

Author(s): Daniel Abler, Philippe Büchler, Russell Rockne
Published in: Neuro-Oncology, Issue 20/suppl_6, 2018, Page(s) vi271-vi271, ISSN 1522-8517
Publisher: Duke University Press
DOI: 10.1093/neuonc/noy148.1127

Characterizing Biomechanical Tumor Growth

Author(s): D. Abler, P. Büchler, R. C. Rockne
Published in: 2019
Publisher: n.a.

Book chapters (2)

Evaluating the Effect of Tissue Anisotropy on Brain Tumor Growth Using a Mechanically Coupled Reaction–Diffusion Model

Author(s): Daniel Abler, Russell C. Rockne, Philippe Büchler
Published in: New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering, Issue 33, 2019, Page(s) 37-48, ISBN 978-3-030-23072-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-23073-9_3

Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes

Author(s): Daniel Abler, Philippe Büchler, Russell C. Rockne
Published in: Mathematical and Computational Oncology - First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings, Issue 11826, 2019, Page(s) 75-86, ISBN 978-3-030-35209-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-35210-3_6

Peer reviewed articles (1)

MRI analysis to map interstitial flow in the brain tumor microenvironment

Author(s): Kathryn M. Kingsmore, Andrea Vaccari, Daniel Abler, Sophia X. Cui, Frederick H. Epstein, Russell C. Rockne, Scott T. Acton, Jennifer M. Munson
Published in: APL Bioengineering, Issue 2/3, 2018, Page(s) 031905, ISSN 2473-2877
Publisher: APL Publishing
DOI: 10.1063/1.5023503