Characterization of Conductivity Changes During High-Frequency Irreversible Electroporation for Treatment Planning. Zhao, Y., Bhonsle, S., Dong, S., Lv, Y., Liu, H., Safaai-Jazi, A., Davalos, R. V., & Yao, C. IEEE Trans Biomed Eng, 65(8):1810-1819, 2018. 1558-2531 Zhao, Yajun Bhonsle, Suyashree Dong, Shoulong Lv, Yanpeng Liu, Hongmei Safaai-Jazi, Ahmad Davalos, Rafael V Yao, Chenguo Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. United States 2018/07/11 IEEE Trans Biomed Eng. 2018 Aug;65(8):1810-1819. doi: 10.1109/TBME.2017.2778101. Epub 2017 Nov 28.doi abstract bibtex For irreversible-electroporation (IRE)-based therapies, the underlying electric field distribution in the target tissue is influenced by the electroporation-induced conductivity changes and is important for predicting the treatment zone. OBJECTIVE: In this study, we characterized the liver tissue conductivity changes during high-frequency irreversible electroporation (H-FIRE) treatments of widths 5 and 10 μs and proposed a method for predicting the ablation zones. METHODS: To achieve this, we created a finite-element model of the tissue treated with H-FIRE and IRE pulses based on experiments conducted in an in-vivo rabbit liver study. We performed a parametric sweep on a Heaviside function that captured the tissue conductivity versus electric field behavior to yield a model current close to the experimental current during the first burst/pulse. A temperature module was added to account for the current increase in subsequent bursts/pulses. The evolution of the electric field at the end of the treatment was overlaid on the experimental ablation zones determined from hematoxylin and eosin staining to find the field thresholds of ablation. RESULTS: Dynamic conductivity curves that provided a statistically significant relation between the model and experimental results were determined for H-FIRE. In addition, the field thresholds of ablation were obtained for the tested H-FIRE parameters. CONCLUSION: The proposed numerical model can simulate the electroporation process during H-FIRE. SIGNIFICANCE: The treatment planning method developed in this study can be translated to H-FIRE treatments of different widths and for different tissue types.
@article{RN158,
author = {Zhao, Y. and Bhonsle, S. and Dong, S. and Lv, Y. and Liu, H. and Safaai-Jazi, A. and Davalos, R. V. and Yao, C.},
title = {Characterization of Conductivity Changes During High-Frequency Irreversible Electroporation for Treatment Planning},
journal = {IEEE Trans Biomed Eng},
volume = {65},
number = {8},
pages = {1810-1819},
note = {1558-2531
Zhao, Yajun
Bhonsle, Suyashree
Dong, Shoulong
Lv, Yanpeng
Liu, Hongmei
Safaai-Jazi, Ahmad
Davalos, Rafael V
Yao, Chenguo
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
United States
2018/07/11
IEEE Trans Biomed Eng. 2018 Aug;65(8):1810-1819. doi: 10.1109/TBME.2017.2778101. Epub 2017 Nov 28.},
abstract = {For irreversible-electroporation (IRE)-based therapies, the underlying electric field distribution in the target tissue is influenced by the electroporation-induced conductivity changes and is important for predicting the treatment zone. OBJECTIVE: In this study, we characterized the liver tissue conductivity changes during high-frequency irreversible electroporation (H-FIRE) treatments of widths 5 and 10 μs and proposed a method for predicting the ablation zones. METHODS: To achieve this, we created a finite-element model of the tissue treated with H-FIRE and IRE pulses based on experiments conducted in an in-vivo rabbit liver study. We performed a parametric sweep on a Heaviside function that captured the tissue conductivity versus electric field behavior to yield a model current close to the experimental current during the first burst/pulse. A temperature module was added to account for the current increase in subsequent bursts/pulses. The evolution of the electric field at the end of the treatment was overlaid on the experimental ablation zones determined from hematoxylin and eosin staining to find the field thresholds of ablation. RESULTS: Dynamic conductivity curves that provided a statistically significant relation between the model and experimental results were determined for H-FIRE. In addition, the field thresholds of ablation were obtained for the tested H-FIRE parameters. CONCLUSION: The proposed numerical model can simulate the electroporation process during H-FIRE. SIGNIFICANCE: The treatment planning method developed in this study can be translated to H-FIRE treatments of different widths and for different tissue types.},
keywords = {Animals
Electric Conductivity
Electrochemotherapy/*methods
Finite Element Analysis
Liver/physiology
*Models, Biological
Rabbits
*Signal Processing, Computer-Assisted},
ISSN = {0018-9294},
DOI = {10.1109/tbme.2017.2778101},
year = {2018},
type = {Journal Article}
}
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V.","Yao, C."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Zhao"],"firstnames":["Y."],"suffixes":[]},{"propositions":[],"lastnames":["Bhonsle"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Dong"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Lv"],"firstnames":["Y."],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["H."],"suffixes":[]},{"propositions":[],"lastnames":["Safaai-Jazi"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Davalos"],"firstnames":["R.","V."],"suffixes":[]},{"propositions":[],"lastnames":["Yao"],"firstnames":["C."],"suffixes":[]}],"title":"Characterization of Conductivity Changes During High-Frequency Irreversible Electroporation for Treatment Planning","journal":"IEEE Trans Biomed Eng","volume":"65","number":"8","pages":"1810-1819","note":"1558-2531 Zhao, Yajun Bhonsle, Suyashree Dong, Shoulong Lv, Yanpeng Liu, Hongmei Safaai-Jazi, Ahmad Davalos, Rafael V Yao, Chenguo Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. United States 2018/07/11 IEEE Trans Biomed Eng. 2018 Aug;65(8):1810-1819. doi: 10.1109/TBME.2017.2778101. Epub 2017 Nov 28.","abstract":"For irreversible-electroporation (IRE)-based therapies, the underlying electric field distribution in the target tissue is influenced by the electroporation-induced conductivity changes and is important for predicting the treatment zone. OBJECTIVE: In this study, we characterized the liver tissue conductivity changes during high-frequency irreversible electroporation (H-FIRE) treatments of widths 5 and 10 μs and proposed a method for predicting the ablation zones. METHODS: To achieve this, we created a finite-element model of the tissue treated with H-FIRE and IRE pulses based on experiments conducted in an in-vivo rabbit liver study. We performed a parametric sweep on a Heaviside function that captured the tissue conductivity versus electric field behavior to yield a model current close to the experimental current during the first burst/pulse. A temperature module was added to account for the current increase in subsequent bursts/pulses. The evolution of the electric field at the end of the treatment was overlaid on the experimental ablation zones determined from hematoxylin and eosin staining to find the field thresholds of ablation. RESULTS: Dynamic conductivity curves that provided a statistically significant relation between the model and experimental results were determined for H-FIRE. In addition, the field thresholds of ablation were obtained for the tested H-FIRE parameters. CONCLUSION: The proposed numerical model can simulate the electroporation process during H-FIRE. SIGNIFICANCE: The treatment planning method developed in this study can be translated to H-FIRE treatments of different widths and for different tissue types.","keywords":"Animals Electric Conductivity Electrochemotherapy/*methods Finite Element Analysis Liver/physiology *Models, Biological Rabbits *Signal Processing, Computer-Assisted","issn":"0018-9294","doi":"10.1109/tbme.2017.2778101","year":"2018","bibtex":"@article{RN158,\n author = {Zhao, Y. and Bhonsle, S. and Dong, S. and Lv, Y. and Liu, H. and Safaai-Jazi, A. and Davalos, R. V. and Yao, C.},\n title = {Characterization of Conductivity Changes During High-Frequency Irreversible Electroporation for Treatment Planning},\n journal = {IEEE Trans Biomed Eng},\n volume = {65},\n number = {8},\n pages = {1810-1819},\n note = {1558-2531\nZhao, Yajun\nBhonsle, Suyashree\nDong, Shoulong\nLv, Yanpeng\nLiu, Hongmei\nSafaai-Jazi, Ahmad\nDavalos, Rafael V\nYao, Chenguo\nJournal Article\nResearch Support, Non-U.S. Gov't\nResearch Support, U.S. Gov't, Non-P.H.S.\nUnited States\n2018/07/11\nIEEE Trans Biomed Eng. 2018 Aug;65(8):1810-1819. doi: 10.1109/TBME.2017.2778101. Epub 2017 Nov 28.},\n abstract = {For irreversible-electroporation (IRE)-based therapies, the underlying electric field distribution in the target tissue is influenced by the electroporation-induced conductivity changes and is important for predicting the treatment zone. OBJECTIVE: In this study, we characterized the liver tissue conductivity changes during high-frequency irreversible electroporation (H-FIRE) treatments of widths 5 and 10 μs and proposed a method for predicting the ablation zones. METHODS: To achieve this, we created a finite-element model of the tissue treated with H-FIRE and IRE pulses based on experiments conducted in an in-vivo rabbit liver study. We performed a parametric sweep on a Heaviside function that captured the tissue conductivity versus electric field behavior to yield a model current close to the experimental current during the first burst/pulse. A temperature module was added to account for the current increase in subsequent bursts/pulses. The evolution of the electric field at the end of the treatment was overlaid on the experimental ablation zones determined from hematoxylin and eosin staining to find the field thresholds of ablation. RESULTS: Dynamic conductivity curves that provided a statistically significant relation between the model and experimental results were determined for H-FIRE. In addition, the field thresholds of ablation were obtained for the tested H-FIRE parameters. CONCLUSION: The proposed numerical model can simulate the electroporation process during H-FIRE. SIGNIFICANCE: The treatment planning method developed in this study can be translated to H-FIRE treatments of different widths and for different tissue types.},\n keywords = {Animals\nElectric Conductivity\nElectrochemotherapy/*methods\nFinite Element Analysis\nLiver/physiology\n*Models, Biological\nRabbits\n*Signal Processing, Computer-Assisted},\n ISSN = {0018-9294},\n DOI = {10.1109/tbme.2017.2778101},\n year = {2018},\n type = {Journal Article}\n}\n\n","author_short":["Zhao, Y.","Bhonsle, S.","Dong, S.","Lv, Y.","Liu, H.","Safaai-Jazi, A.","Davalos, R. 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