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    Finite Element Simulation of Proportional, Integral, and Derivative-Controlled Bipolar Radiofrequency Ablation of Porcine Spinal Muscle

    Source: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2023:;volume( 006 ):;issue: 002::page 21006-1
    Author:
    Kumru, Hanife Tugba
    ,
    Attaluri, Anilchandra
    ,
    Gordin, Vitaly
    ,
    Cortes, Daniel
    DOI: 10.1115/1.4056516
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Radio frequency ablation (RFA) of the medial branch nerve is a widely used therapeutic intervention for back pain originating from the facet joint. However, multifidus denervation is a well-known adverse effect of this RFA procedure. Computational simulations of RFA can be used to design a new multifidus-sparing RFA procedure for facet joint pain. Unfortunately, there is not a computational model available for RFA of porcine spines (a common animal model for the translation of spinal treatments). The objective of this study is to develop and verify a computational model for bipolar radio frequency ablation of porcine spine muscle. To do this, the electrical and thermal conductivity properties were measured over a temperature range of 20–90 °C in ex vivo porcine spinal. A proportional, integral, and derivative (PID) controlled finite element (FE) model was developed and tuned to simulate the ablation process. Finally, tissue temperatures from simulations and experimental ablations were compared. Thermal conductivity values of spinal muscle ranged from 0.33 W/mK to 0.57 W/mK. Similarly, electrical conductivity varied from 0.36 S/m to 1.28 S/m. The tuned PID parameters for temperature-controlled model were KP=40, Ki=0.01, and Kd=0. A close agreement between experimental measurements of tissue temperature and simulations were observed in the uncertainty range with R-squared values between 0.88 and 0.98. The model developed in this study is a valuable tool for preclinical studies exploring new RFA methods of spinal nerves.
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      Finite Element Simulation of Proportional, Integral, and Derivative-Controlled Bipolar Radiofrequency Ablation of Porcine Spinal Muscle

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4294599
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    contributor authorKumru, Hanife Tugba
    contributor authorAttaluri, Anilchandra
    contributor authorGordin, Vitaly
    contributor authorCortes, Daniel
    date accessioned2023-11-29T19:07:51Z
    date available2023-11-29T19:07:51Z
    date copyright1/11/2023 12:00:00 AM
    date issued1/11/2023 12:00:00 AM
    date issued2023-01-11
    identifier issn2572-7958
    identifier otherjesmdt_006_02_021006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294599
    description abstractRadio frequency ablation (RFA) of the medial branch nerve is a widely used therapeutic intervention for back pain originating from the facet joint. However, multifidus denervation is a well-known adverse effect of this RFA procedure. Computational simulations of RFA can be used to design a new multifidus-sparing RFA procedure for facet joint pain. Unfortunately, there is not a computational model available for RFA of porcine spines (a common animal model for the translation of spinal treatments). The objective of this study is to develop and verify a computational model for bipolar radio frequency ablation of porcine spine muscle. To do this, the electrical and thermal conductivity properties were measured over a temperature range of 20–90 °C in ex vivo porcine spinal. A proportional, integral, and derivative (PID) controlled finite element (FE) model was developed and tuned to simulate the ablation process. Finally, tissue temperatures from simulations and experimental ablations were compared. Thermal conductivity values of spinal muscle ranged from 0.33 W/mK to 0.57 W/mK. Similarly, electrical conductivity varied from 0.36 S/m to 1.28 S/m. The tuned PID parameters for temperature-controlled model were KP=40, Ki=0.01, and Kd=0. A close agreement between experimental measurements of tissue temperature and simulations were observed in the uncertainty range with R-squared values between 0.88 and 0.98. The model developed in this study is a valuable tool for preclinical studies exploring new RFA methods of spinal nerves.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFinite Element Simulation of Proportional, Integral, and Derivative-Controlled Bipolar Radiofrequency Ablation of Porcine Spinal Muscle
    typeJournal Paper
    journal volume6
    journal issue2
    journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
    identifier doi10.1115/1.4056516
    journal fristpage21006-1
    journal lastpage21006-8
    page8
    treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2023:;volume( 006 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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