ArticleCell proliferation2014
Oedema-based model for diffuse low-grade gliomas: application to clinical cases under radiotherapy.
Article in Cell proliferation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Biopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model.NPJ systems biology and applications · 2025Article
- Overcoming chemotherapy resistance in low-grade gliomas: A computational approach.PLoS computational biology · 2023Article
- Predicting regrowth of low-grade gliomas after radiotherapy.PLoS computational biology · 2023Article
- Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach.Journal of personalized medicine · 2021Article
- The Effect of Radiotherapy on Diffuse Low-Grade Gliomas Evolution: Confronting Theory with Clinical Data.Journal of personalized medicine · 2021Article
- Radiation protraction schedules for low-grade gliomas: a comparison between different mathematical models.Journal of the Royal Society, Interface · 2019Article
- Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas.PLoS computational biology · 2019Article
- Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer.International journal of radiation oncology, biology, physics · 2018Article
- The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017Review
- A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predictJournal of the Royal Society, Interface · 2017Article
- Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas.PloS one · 2017Article
- Why one-size-fits-all vaso-modulatory interventions fail to control glioma invasion: in silico insights.Scientific reports · 2016Article
- Serum microRNAs as potential noninvasive biomarkers for glioma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDiffuse low-grade gliomas are characterized by slow growth. Despite appropriate treatment, they change inexorably into more aggressive forms, jeopardizing the patient's life. Optimizing treatments, for example with the use of mathematical modelling, could help to prevent tumour regrowth and anaplastic transformation. Here, we present a model of the effect of radiotherapy on such tumours. Our objective is to explain observed delay of tumour regrowth following radiotherapy and to predict its duration. MATERIALS AND
methodsWe have used a migration-proliferation model complemented by an equation describing appearance and draining of oedema. The model has been applied to clinical data of tumour radius over time, for a population of 28 patients.
resultsWe were able to show that draining of oedema accounts for regrowth delay after radiotherapy and have been able to fit the clinical data in a robust way. The model predicts strong correlation between high proliferation coefficient and low progression-free gain of lifetime, due to radiotherapy among the patients, in agreement with clinical studies. We argue that, with reasonable assumptions, it is possible to predict (precision ~20%) regrowth delay after radiotherapy and the gain of lifetime due to radiotherapy.
conclusionsOur oedema-based model provides an early estimation of individual duration of tumour response to radiotherapy and thus, opens the door to the possibility of personalized medicine.
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