Published September 24, 2012 | Version v1
Miscellaneous Open

Modeling and histological study of diffuse low-grade gliomas

Description

Diffuse low-grade gliomas (LGG) are primary brain tumors. After a slow growth, they evolve to high-grade gliomas, resulting into death. These tumors are very diffuse, thus difficult to treat. A better knowledge of them could allow to cure them or, failing that, to optimize treatments. We studied the growth of LGG with a simple mathematical model, which led us to speculate (i) that they arise in adolescence, (ii) that the age of the tumor at diagnosis can be calculated easily, and (iii) that the growth rate is an important prognostic factor. This last prediction is consistent with clinical observations. To test this spatial model, we have quantitatively characterized biopsy tissues of human LGG, particularly the presence of edema. The microscopic analysis of these data underpins the idea that edema is the cause of the abnormality seen on T2-weighted MR imaging. To take this new result into account, we have incorporated edema into the initial model as a consequence of the presence of tumor cells. This model helps explain the long decay of the tumor radius for tens of months after radiation therapy: as tumor cells become less numerous, drainage of the edema becomes predominant. This model, which has only three free parameters, has been validated thanks to clinical data from twenty patients. (author)

Abstract (French)

Les gliomes diffus de bas grade (GBG) sont des tumeurs cerebrales primaires. Apres une phase de croissance lente, ils evoluent en gliomes de haut grade, entrainant une issue fatale. Ce sont des tumeurs tres diffuses donc difficiles a traiter. Une meilleure connaissance de ces tumeurs pourrait permettre de les guerir ou, a defaut, d'optimiser les traitements. Nous avons etudie la croissance des GBG grace a un modele mathematique simple, ce qui nous a amene a speculer (i) qu'ils surviennent a l'adolescence, (ii) que l'age de la tumeur au moment du diagnostic peut etre calcule facilement et (iii) que la vitesse de croissance est un fac- teur pronostique important. Cette derniere prediction concorde avec les observations cliniques. Pour verifier ce modele spatial, nous avons caracterise quantitativement des tissus de biopsies etagees de GBG humains, en particulier la presence d'oedeme. L'analyse de ces donnees microscopiques etaie l'idee que l'oedeme est a l'origine de l'anomalie de signal IRM en sequence T2. Pour prendre en compte ce resultat nouveau, nous avons incorpore l'oedeme au modele initial comme consequence de la presence de cellules tumorales. Ce modele permet d'expliquer la longue decroissance du rayon tumoral pendant des dizaines de mois apres la radiotherapie: les cellules tumorales desormais moins nombreuses, le drainage de l'oedeme devient predominant. Ce modele, qui ne comprend que trois parametres libres, a ete valide grace a des donnees cliniques sur une vingtaine de patients. (auteur)

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Additional details

Additional titles

Original title (French)
Modelisation et etude histologique de gliomes diffus de bas grade

Publishing Information

Imprint Pagination
185 p.
Report number
FRNC-TH--13943

INIS

Optional Information

Notes
205 refs.; Available from the INIS Liaison Officer for France, see the INIS website for current contact and E-mail addresses