Patient-specific characterization of the invasiveness and proliferation of low-grade gliomas using serial MR imaging and a mathematical model of tumor growth.
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[1] Kristin R. Swanson,et al. Toward Patient-Specific, Biologically Optimized Radiation Therapy Plans for the Treatment of Glioblastoma , 2013, PloS one.
[2] R. Guillevin,et al. Velocity of tumor spontaneous expansion predicts long-term outcomes for diffuse low-grade gliomas. , 2013, Neuro-oncology.
[3] Luc Taillandier,et al. Quantitative morphological magnetic resonance imaging follow-up of low-grade glioma: a plea for systematic measurement of growth rates. , 2012, Neurosurgery.
[4] R Grant,et al. Guidelines on management of low‐grade gliomas: report of an EFNS–EANO * Task Force , 2010, European journal of neurology.
[5] K Hendrickson,et al. Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach , 2010, Physics in medicine and biology.
[6] T. Cloughesy,et al. Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model. , 2009, Cancer research.
[7] Olga Ciccarelli,et al. Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient. , 2009, Radiology.
[8] Gargi Chakraborty,et al. Quantitative metrics of net proliferation and invasion link biological aggressiveness assessed by MRI with hypoxia assessed by FMISO-PET in newly diagnosed glioblastomas. , 2009, Cancer research.
[9] K. Swanson,et al. A mathematical model for brain tumor response to radiation therapy , 2009, Journal of mathematical biology.
[10] Luc Taillandier,et al. Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm , 2008, Neurosurgical Review.
[11] K. Swanson,et al. A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle , 2007, British Journal of Cancer.
[12] Kristin R. Swanson,et al. The Evolution of Mathematical Modeling of Glioma Proliferation and Invasion , 2007, Journal of neuropathology and experimental neurology.
[13] A. Péna,et al. Improved delineation of glioma margins and regions of infiltration with the use of diffusion tensor imaging: an image-guided biopsy study. , 2006, AJNR. American journal of neuroradiology.
[14] M. Piérart,et al. Long-term efficacy of early versus delayed radiotherapy for low-grade astrocytoma and oligodendroglioma in adults: the EORTC 22845 randomised trial , 2005, The Lancet.
[15] Roberto Lent,et al. Isotropic Fractionator: A Simple, Rapid Method for the Quantification of Total Cell and Neuron Numbers in the Brain , 2005, The Journal of Neuroscience.
[16] Laurent Capelle,et al. Continuous growth of mean tumor diameter in a subset of grade II gliomas , 2003, Annals of neurology.
[17] J. Henson,et al. Age-dependent rate of anaplastic transformation in low-grade astrocytoma , 1999, Neurology.
[18] J. Murray,et al. A mathematical model of glioma growth: the effect of chemotherapy on spatio‐temporal growth , 1995, Cell proliferation.
[19] S. Vandenberg. Current Diagnostic Concepts of Astrocytic Tumors , 1992, Journal of neuropathology and experimental neurology.
[20] Douglas C. Miller,et al. Treatment and Survival of Low-Grade Astrocytoma in Adults--1977–1988 , 1992 .
[21] V. Arena,et al. Survival of Patients with Well-Differentiated Astrocytomas Diagnosed in The Era of Computed Tomography , 1991 .
[22] P. Kleihues,et al. Topographic anatomy and CT correlations in the untreated glioblastoma multiforme. , 1988, Journal of neurosurgery.
[23] S. Kramer,et al. The extent of intracranial gliomata at autopsy and its relationship to techniques used in radiation therapy of brain tumors. , 1960, The American journal of roentgenology, radium therapy, and nuclear medicine.
[24] R. Soffietti,et al. Natural History and Spontaneous Prognostic Factors , 2013 .
[25] N. Pouratian,et al. 11 – Extraaxial Brain Tumors , 2010 .