Open Access
| Issue |
ITM Web of Conferences
Volume 5, 2015
Workshop on Multiscale and Hybrid Modelling in Cell and Cell Population Biology
|
|
|---|---|---|
| Article Number | 00006 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/itmconf/20150500006 | |
| Published online | 11 December 2015 | |
- N. Pouratian, D. Schiff. Management of low-grade glioma. Curr Neurol Neurosci Rep, 10, 224–31 (2010). [CrossRef] [Google Scholar]
- Van den Bent MJ, Afra D, de Witte O, Ben Hassel M, Schraub S, Hoang-Xuan K, Malmström PO, Collette L, Piérart M, Mirimanoff R & Karim AB. Long-term efficacy of early versus delayed radiotherapy for low-grade astrocytoma and oligodendroglioma in adults: the EORTC 22845 randomised trial, Lancet, 366, 985–990 (2005) [CrossRef] [Google Scholar]
- Ribba B, Kaloshi G, Peyre M, Ricard D, Calvez V, Tod M, Cajavec-Bernard B, Idbaih A, Psimaras D, Dainese L, Pallud J, Cartalat-Carel S, Delattre JY, Honnorat J, Grenier E, Ducray F.A tumor growth inhibition model for low-grade glioma treated with chemotherapy or radiotherapy. Clin Cancer Res. 15, 5071–5080 (2012). [CrossRef] [Google Scholar]
- Badoual M, Gerin C, Deroulers C, Grammaticos B, Llitjos J.-F., Oppenheim C, Varlet P. Oedema-based model for diffuse low-grade gliomas: application to clinical cases under radiotherapy. Cell. Prolif. 47 369–380 (2014). [CrossRef] [Google Scholar]
- Pallud J, Llitjos JF, Dhermain F, Varlet P, Dezamis E, Devaux B, Souillard-Scemama R, Sanai N, Koziak M, Page P, Schlienger M, Daumas-Duport C, Meder JF, Oppenheim C & Roux FX. Dynamic imaging response following radiation therapy predicts long-term outcomes for diffuse low-grade gliomas. Neuro-Oncology 14, 496–505 (2012). [CrossRef] [Google Scholar]
- V.M. Pérez-García, M. Bogdanska, J. Belmonte, P. Shucht, L. Pérez-Romasanta. Delay effects inthe response of low grade gliomas to radiotherapy: A mathematical model and its therapeutical implications. Mathematical Medicine and Biology 32, 307–329 (2015). [CrossRef] [MathSciNet] [Google Scholar]
- L. A. Pérez-Romasanta, J. Belmonte-Beitia, A. Martínez-González, G. F. Calvo, V. M. Pérez-García Mathematical model predicts response to radiotherapy of grade II gliomas, Reports of Practical Oncology and Radiotherapy, 18 S63 (2013). [CrossRef] [Google Scholar]
- T. Galochkina, A. Bratus, V. M. Pérez-García Optimal radiation fractionation for low-grade gliomas: Insights from a mathematical model, Mathematical Biosciences 267 1–9 (2015). [CrossRef] [MathSciNet] [Google Scholar]
- V. M. Pérez-García, L. Pérez-Romasanta Extreme protraction for low grade gliomas: Theoretical proof of concept of a novel therapeutical strategy Mathematical Medicine and Biology, doi:10.1093/imammb/dqv017 [Google Scholar]
- Martirosyan NL, Rutter EM, Ramey WL, Kostelich EJ, Kuang Y, Preul MC. Mathematically modeling the biological properties of gliomas: A review. Math Biosci Eng. 12, 879–905 (2015). [CrossRef] [MathSciNet] [Google Scholar]
- A. Van der Kogel, M. Joiner, Basic clinical radiobiology, Oxford University Press, 2009. [CrossRef] [Google Scholar]
- Ayuso JM, Monge R, Llamazares GA, Moreno M, Agirregabiria M, Berganzo J, Doblaré M, Ochoa I and Fernández LJ, SU-8 based microdevices to study self-induced chemotaxis in 3D microenvironments. Front. Mater. 2: 37 (2015). [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.