INVESTIGADORES
GONZALEZ graciela Alicia
congresos y reuniones científicas
Título:
Anodic pH distribution analysis during electrochemical treatment of tumors: numerical simulations
Autor/es:
TURJANSKI P.; SOBA S.; SUAREZ C.; COLOMBO L.; GONZÁLEZ G.: MOLINA F.; MARSHALL G.;
Lugar:
Córdoba, Argetnina
Reunión:
Congreso; ENIEF 2007 - Congreso sobre Métodos Numéricos y sus Aplicaciones; 2007
Institución organizadora:
Asosiación Argentina de Mecánica Computacional
Resumen:
Abstract. Electrochemotherapy (EChT) of tumors consists in the passage of a direct electric current
through electrodes inserted locally in the tissue, mainly causing its necrosis. This kind of treatment has
been specially applied in China for the last ten years in more than 10 000 patients with good clinical results.
The extreme pH changes induced by EChT has been proposed as the main tumor destruction mechanism.
In this paper, we describe two different numerical models of EChT (non-buffered and buffered
models) that analyze electrolyte diffusive and migratory transport near the anode in a diluted solution,
with or without the presence of buffer in the medium. These models use the quasi-one-dimensional
Nernst-Planck equations under the hypothesis of electroneutrality and galvanostatic conditions. The
equations are solved, for each time step, with finite differences in a fixed domain with a variable mesh
that allows greater accuracy near the anodic boundary region. We compare pH distribution predictions
derived from the non-buffered and the buffered models with experimental results obtained from collagen
I gels and subcutaneous tumors developed in mice, respectively. Simulations predict that, after the EChT
treatment, an initial condition with an homogeneous and almost neutral pH becomes extremely acid at
the anode, rapidly recovering its neutral value as we move away from it. The strong acidification expands
through the anodic area as the EChT dosage increases. These predictions are in good agreement with
experimental results. Other qualitative and quantitative comparisons reveal that the non-buffered model
has a better correlation with reality than the buffered one. This approach and results open a promising
area of research that may help in the elucidation of the real consequences of an EChT applied to tumor
tissues. We believe this could have significant implications in the future design of optimal operative
conditions and dose planning of this kind of therapy.