Electrical Characterization of Human Biological Tissue for Irreversible Electroporation Treatments. Beitel-White, N., Bhonsle, S., Martin, R. C. G., & Davalos, R. V. Annu Int Conf IEEE Eng Med Biol Soc, 2018:4170-4173, 2018. 2694-0604 Beitel-White, Natalie Bhonsle, Suyashree Martin, R C G Davalos, Rafael V Journal Article Research Support, Non-U.S. Gov't United States 2018/11/18 Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4170-4173. doi: 10.1109/EMBC.2018.8513341.
doi  abstract   bibtex   
Irreversible electroporation (IRE) is a cancer therapy that uses short, high-voltage electrical pulses to treat tumors. Due to its predominantly non-thermal mechanism and ability to ablate unresectable tumors, IRE has gained popularity in clinical treatments of both liver and pancreatic cancers. Existing computational models use electrical properties of animal tissue that are quantified a priori to predict the area of treatment in three dimensions. However, the changes in the electrical properties of human tissue during IRE treatment are so far unexplored. This work aims to improve models by characterizing the dynamic electrical behavior of human liver and pancreatic tissue. Fresh patient samples of each tissue type, both normal and tumor, were collected and IRE pulses were applied between two parallel metal plates at various voltages. The electrical conductivity was determined from the resistance using simple relations applicable to cylindrical samples. The results indicate that the percent change in conductivity during IRE treatments varies significantly with increasing electric field magnitudes. This percent change versus applied electric field behavior can be fit to a sigmoidal curve, as proposed in prior studies. The generic conductivity data from human patients from this work can be input to computational software using patient-specific geometry, giving clinicians a more accurate and personalized prediction of a given IRE treatment.
@article{RN152,
   author = {Beitel-White, N. and Bhonsle, S. and Martin, R. C. G. and Davalos, R. V.},
   title = {Electrical Characterization of Human Biological Tissue for Irreversible Electroporation Treatments},
   journal = {Annu Int Conf IEEE Eng Med Biol Soc},
   volume = {2018},
   pages = {4170-4173},
   note = {2694-0604
Beitel-White, Natalie
Bhonsle, Suyashree
Martin, R C G
Davalos, Rafael V
Journal Article
Research Support, Non-U.S. Gov't
United States
2018/11/18
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4170-4173. doi: 10.1109/EMBC.2018.8513341.},
   abstract = {Irreversible electroporation (IRE) is a cancer therapy that uses short, high-voltage electrical pulses to treat tumors. Due to its predominantly non-thermal mechanism and ability to ablate unresectable tumors, IRE has gained popularity in clinical treatments of both liver and pancreatic cancers. Existing computational models use electrical properties of animal tissue that are quantified a priori to predict the area of treatment in three dimensions. However, the changes in the electrical properties of human tissue during IRE treatment are so far unexplored. This work aims to improve models by characterizing the dynamic electrical behavior of human liver and pancreatic tissue. Fresh patient samples of each tissue type, both normal and tumor, were collected and IRE pulses were applied between two parallel metal plates at various voltages. The electrical conductivity was determined from the resistance using simple relations applicable to cylindrical samples. The results indicate that the percent change in conductivity during IRE treatments varies significantly with increasing electric field magnitudes. This percent change versus applied electric field behavior can be fit to a sigmoidal curve, as proposed in prior studies. The generic conductivity data from human patients from this work can be input to computational software using patient-specific geometry, giving clinicians a more accurate and personalized prediction of a given IRE treatment.},
   keywords = {Animals
Electric Conductivity
*Electroporation
Humans
Liver
Metals
*Pancreatic Neoplasms},
   ISSN = {2375-7477},
   DOI = {10.1109/embc.2018.8513341},
   year = {2018},
   type = {Journal Article}
}

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