[Dynamic characterization of the growth of brain tumors based on image sequences of nuclear magnetic resonance].
The evolution of a high grade glioblastoma of a patient undergoing radio-therapy has been analysed by considering a mathematical model which simulates the brain tumour growth within a two-dimensional domain defined by the brain and ventricles geometry. This simulated behaviour was compared with morphological data obtained from successive nuclear magnetic resonance scans of the patient. The model parameters include the proliferation rate and the diffusion coefficient of the tumour cells as well as their sensitivity to the irradiation. They were estimated using optimisation techniques to minimise the distance between simulated tumour area and scan data from different brain sections. The relevance of this quantitative estimation for the prognosis and for the consideration of additional parameters in the pre and post therapeutic evaluation of glioma is discussed.
Tracqui
P
P
Laboratoire TIMC-IMAG, CNRS URA 1618, CHRU de Grenoble, La Tronche, France.
Leitner
F
F
Esteve
F
F
D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000532:radiotherapy; D002455:Cell Division / Q000528:radiation effects; D002471:Cell Transformation, Neoplastic; D003198:Computer Simulation; D005500:Follow-Up Studies; D005909:Glioblastoma / Q000175:diagnosis* / Q000532:radiotherapy; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D014057:Tomography, X-Ray Computed
Caractérisation dynamique de la croissance de tumeurs cérébrales à partir de séquences d'images obtenues par résonance magnétique nucléaire.