Mathematical modeling of energy metabolism and hemodynamics of WHO grade II gliomas using in vivo MR data

被引:14
作者
Guillevin, Remy [1 ]
Menuel, Carole [1 ]
Vallee, Jean-Noel [2 ]
Francoise, Jean-Pierre [3 ]
Capelle, Laurent [1 ]
Habas, Christophe [4 ]
De Marco, Giovanni [5 ]
Chiras, Jacques [1 ]
Costalat, Robert [6 ,7 ]
机构
[1] UPMC Univ Paris 06, Hop La Pitie Salpetriere, Dept Neuroradiol, Funct Imaging Lab,Inserm U678, F-75651 Paris 13, France
[2] Univ Picardie, Amiens Univ Med Ctr, Dept Neuroradiol, F-80025 Amiens, France
[3] Univ Paris 06, CNRS, UMR 7598, Lab JL Lions, F-75252 Paris 05, France
[4] XV XX Hosp, Dept Neuroradiol, F-75012 Paris, France
[5] Univ Paris 10, UFR STAPS, Lab Controle Moteur & Mouvement, F-92001 Nanterre, France
[6] Univ Paris 06, UPMC, UMI 209, UMMISCO, F-75005 Paris, France
[7] IRD, UMI 209, UMMISCO, F-93143 Bondy, France
关键词
In vivo magnetic resonance; Multinuclear spectroscopy; Perfusion imaging; Low-grade glioma; Metabolism; Mathematical modeling; BRAIN;
D O I
10.1016/j.crvi.2010.11.002
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Therapeutic management of low-grade gliomas (LGG) is a challenge because they have undergone anaplastic transformation with variable delay. Today, only progressive volume growth on successive MRI allows an in vivo monitoring of this evolution. On the other hand, multinuclear spectroscopy and perfusion available during MRI may also provide assessment of metabolic changes underlying morphological modifications. To overcome this drawback, we developed a mathematical model of the metabolism and the hemodynamic of gliomas, based on a physiological model previously published, and including the MR parameters. This allows us to suggest that some specific profiles of metabolic and hemodynamic changes would be good indicators of potential anaplastic transformation. (c) 2010 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:31 / 38
页数:8
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