ArticleCell proliferation2012
Improving the time-machine: estimating date of birth of grade II gliomas.
Article in Cell proliferation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Neuroplasticity in Diffuse Low-grade Gliomas: Backward Modelling of Brain-tumor Interactions Prior to Diagnosis is Needed to Better Predict Recovery after Treatment.Current neurology and neuroscience reports · 2025Review
- A Personalized Longitudinal Strategy in Low-Grade Glioma Patients: Predicting Oncological and Neural Interindividual Variability and Its Changes over Years to Think One Step Ahead.Journal of personalized medicine · 2022Review
- White Matter Tracts and Diffuse Lower-Grade Gliomas: The Pivotal Role of Myelin Plasticity in the Tumor Pathogenesis, Infiltration Patterns, Functional Consequences and Therapeutic Management.Frontiers in oncology · 2022Review
- 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
- Modeling the dynamics of oligodendrocyte precursor cells and the genesis of gliomas.PLoS computational biology · 2018Article
- The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017Review
- A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications.PloS one · 2017Article
- Incidental diffuse low-grade gliomas: from early detection to preventive neuro-oncological surgery.Neurosurgical review · 2016Review
- Serum microRNAs as potential noninvasive biomarkers for glioma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Review
- Article
- Oedema-based model for diffuse low-grade gliomas: application to clinical cases under radiotherapy.Cell proliferation · 2014Article
- Choindroitinase ABC I-mediated enhancement of oncolytic virus spread and anti tumor efficacy: a mathematical model.PloS one · 2014Article
- Quantitative characterization of the imaging limits of diffuse low-grade oligodendrogliomas.Neuro-oncology · 2013Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesHere we present a model aiming to provide an estimate of time from tumour genesis, for grade II gliomas. The model is based on a differential equation describing the diffusion-proliferation process. We have applied our model to situations where tumour diameter was shown to increase linearly with time, with characteristic diametric velocity. MATERIALS AND
methodsWe have performed numerical simulations to analyse data, on patients with grade II gliomas and to extract information concerning time of tumour biological onset, as well as radiology and distribution of model parameters. RESULTS AND
conclusionsWe show that the estimate of tumour onset obtained from extrapolation using a constant velocity assumption, always underestimates biological tumour age, and that the correction one should add to this estimate is given roughly by 20/v (year), where v is the diametric velocity of expansion of the tumour (expressed in mm/year). Within the assumptions of the model, we have identified two types of tumour: the first corresponds to very slowly growing tumours that appear during adolescence, and the second type corresponds to slowly growing tumours that appear later, during early adulthood. That all these tumours become detectable around a mean patient age of 30 years could be interesting for formulation of strategies for early detection of tumours.
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