Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models
The objective of the current research work is to study the differences between the predicted ablation volume in homogeneous and heterogeneous models of typical radiofrequency (RF) procedures for pain relief. A three-dimensional computational domain comprising of the realistic anatomy of the target t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/7/2/35 |
| _version_ | 1797571363508060160 |
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| author | Sundeep Singh Roderick Melnik |
| author_facet | Sundeep Singh Roderick Melnik |
| author_sort | Sundeep Singh |
| collection | DOAJ |
| description | The objective of the current research work is to study the differences between the predicted ablation volume in homogeneous and heterogeneous models of typical radiofrequency (RF) procedures for pain relief. A three-dimensional computational domain comprising of the realistic anatomy of the target tissue was considered in the present study. A comparative analysis was conducted for three different scenarios: (a) a completely homogeneous domain comprising of only muscle tissue, (b) a heterogeneous domain comprising of nerve and muscle tissues, and (c) a heterogeneous domain comprising of bone, nerve and muscle tissues. Finite-element-based simulations were performed to compute the temperature and electrical field distribution during conventional RF procedures for treating pain, and exemplified here for the continuous case. The predicted results reveal that the consideration of heterogeneity within the computational domain results in distorted electric field distribution and leads to a significant reduction in the attained ablation volume during the continuous RF application for pain relief. The findings of this study could provide first-hand quantitative information to clinical practitioners about the impact of such heterogeneities on the efficacy of RF procedures, thereby assisting them in developing standardized optimal protocols for different cases of interest. |
| first_indexed | 2024-03-10T20:38:18Z |
| format | Article |
| id | doaj.art-f11079102aa347c0afb05d5ac3629ce8 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-10T20:38:18Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-f11079102aa347c0afb05d5ac3629ce82023-11-19T20:52:05ZengMDPI AGBioengineering2306-53542020-04-01723510.3390/bioengineering7020035Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled ModelsSundeep Singh0Roderick Melnik1MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON N2L 3C5, CanadaMS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON N2L 3C5, CanadaThe objective of the current research work is to study the differences between the predicted ablation volume in homogeneous and heterogeneous models of typical radiofrequency (RF) procedures for pain relief. A three-dimensional computational domain comprising of the realistic anatomy of the target tissue was considered in the present study. A comparative analysis was conducted for three different scenarios: (a) a completely homogeneous domain comprising of only muscle tissue, (b) a heterogeneous domain comprising of nerve and muscle tissues, and (c) a heterogeneous domain comprising of bone, nerve and muscle tissues. Finite-element-based simulations were performed to compute the temperature and electrical field distribution during conventional RF procedures for treating pain, and exemplified here for the continuous case. The predicted results reveal that the consideration of heterogeneity within the computational domain results in distorted electric field distribution and leads to a significant reduction in the attained ablation volume during the continuous RF application for pain relief. The findings of this study could provide first-hand quantitative information to clinical practitioners about the impact of such heterogeneities on the efficacy of RF procedures, thereby assisting them in developing standardized optimal protocols for different cases of interest.https://www.mdpi.com/2306-5354/7/2/35radiofrequency therapiespain reliefbioheat transfercoupled thermo-electric analysismultiscale models for biological tissuesfeedback control systems |
| spellingShingle | Sundeep Singh Roderick Melnik Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models Bioengineering radiofrequency therapies pain relief bioheat transfer coupled thermo-electric analysis multiscale models for biological tissues feedback control systems |
| title | Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models |
| title_full | Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models |
| title_fullStr | Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models |
| title_full_unstemmed | Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models |
| title_short | Domain Heterogeneity in Radiofrequency Therapies for Pain Relief: A Computational Study with Coupled Models |
| title_sort | domain heterogeneity in radiofrequency therapies for pain relief a computational study with coupled models |
| topic | radiofrequency therapies pain relief bioheat transfer coupled thermo-electric analysis multiscale models for biological tissues feedback control systems |
| url | https://www.mdpi.com/2306-5354/7/2/35 |
| work_keys_str_mv | AT sundeepsingh domainheterogeneityinradiofrequencytherapiesforpainreliefacomputationalstudywithcoupledmodels AT roderickmelnik domainheterogeneityinradiofrequencytherapiesforpainreliefacomputationalstudywithcoupledmodels |