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The Journal of Membrane Biology

, Volume 236, Issue 1, pp 147–153 | Cite as

Robustness of Treatment Planning for Electrochemotherapy of Deep-Seated Tumors

  • Bor Kos
  • Anze Zupanic
  • Tadej Kotnik
  • Marko Snoj
  • Gregor Sersa
  • Damijan Miklavcic
Article

Abstract

Treatment of cutaneous and subcutaneous tumors with electrochemotherapy has become a regular clinical method, while treatment of deep-seated tumors is still at an early stage of development. We present a method for preparing a dedicated patient-specific, computer-optimized treatment plan for electrochemotherapy of deep-seated tumors based on medical images. The treatment plan takes into account the patient’s anatomy, tissue conductivity changes during electroporation and the constraints of the pulse generator. Analysis of the robustness of a treatment plan made with this method shows that the effectiveness of the treatment is not affected significantly by small single errors in electrode positioning. However, when many errors occur simultaneously, the resulting drop in effectiveness is larger, which means that it is necessary to be as accurate as possible in electrode positioning. The largest effect on treatment effectiveness stems from uncertainties in dielectric properties and electroporation thresholds of treated tumors and surrounding tissues, which emphasizes the need for more accurate measurements and more research. The presented methods for treatment planning and robustness analysis allow quantification of the treatment reproducibility and enable the setting of suitable safety margins to improve the likelihood of successful treatment of deep-seated tumors by electrochemotherapy.

Keywords

Electrochemotherapy Electroporation Treatment planning Deep-seated tumor 

Notes

Acknowledgement

This research was supported by the Slovenian Research Agency (ARRS) under various grants.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Bor Kos
    • 1
  • Anze Zupanic
    • 1
  • Tadej Kotnik
    • 1
  • Marko Snoj
    • 2
  • Gregor Sersa
    • 2
  • Damijan Miklavcic
    • 1
    • 3
  1. 1.Faculty of Electrical EngineeringUniversity of LjubljanaLjubljanaSlovenia
  2. 2.Institute of OncologyLjubljanaSlovenia
  3. 3.Laboratory of BiocyberneticsLjubljanaSlovenia

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