Feasibility of Employing Model-Based Optimization of Pulse Amplitude and Electrode Distance for Effective Tumor Electropermeabilization

In electrochemotherapy (ECT) electropermeabilization, parameters (pulse amplitude, electrode setup) need to be customized in order to expose the whole tumor to electric field intensities above permeabilizing threshold to achieve effective ECT. In this paper, we present a model-based optimization app...

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Bibliographic Details
Published in:	IEEE transactions on biomedical engineering Vol. 54; no. 5; pp. 773 - 781
Main Authors:	Sel, Davorka, Lebar, Alenka Maek, Miklavcic, Damijan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01-05-2007 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Brain modeling Brain Neoplasms - physiopathology Brain Neoplasms - radiotherapy Cell Membrane Permeability - physiology Cell Membrane Permeability - radiation effects Computational geometry Computer Simulation Constraint optimization Electric Conductivity Electric fields Electric Stimulation - methods Electrical capacitance tomography electro gene transfer Electrochemotherapy Electrodes Electromagnetic Fields electropermeabilization Electroporation - instrumentation Electroporation - methods Feasibility Studies Finite element methods Humans Microelectrodes modeling Models, Biological Neoplasms optimization Pulse generation Solid modeling Studies Tomography, X-Ray Computed Tumor Burden Voltage
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Summary:	In electrochemotherapy (ECT) electropermeabilization, parameters (pulse amplitude, electrode setup) need to be customized in order to expose the whole tumor to electric field intensities above permeabilizing threshold to achieve effective ECT. In this paper, we present a model-based optimization approach toward determination of optimal electropermeabilization parameters for effective ECT. The optimization is carried out by minimizing the difference between the permeabilization threshold and electric field intensities computed by finite element model in selected points of tumor. We examined the feasibility of model-based optimization of electropermeabilization parameters on a model geometry generated from computer tomography images, representing brain tissue with tumor. Continuous parameter subject to optimization was pulse amplitude. The distance between electrode pairs was optimized as a discrete parameter. Optimization also considered the pulse generator constraints on voltage and current. During optimization the two constraints were reached preventing the exposure of the entire volume of the tumor to electric field intensities above permeabilizing threshold. However, despite the fact that with the particular needle array holder and pulse generator the entire volume of the tumor was not permeabilized, the maximal extent of permeabilization for the particular case (electrodes, tissue) was determined with the proposed approach. Model-based optimization approach could also be used for electro-gene transfer, where electric field intensities should be distributed between permeabilizing threshold and irreversible threshold-the latter causing tissue necrosis. This can be obtained by adding constraints on maximum electric field intensity in optimization procedure
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	0018-9294 1558-2531
DOI:	10.1109/TBME.2006.889196