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Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue
INTRODUCTION: Laser interstitial thermal therapy (LITT) at 1064 nm is widely used to treat epilepsy and brain tumors; however, no numerical model exists that can predict the ablation region with careful in vivo validation. METHODS: In this study, we proposed a model with a system of finite element m...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588634/ https://www.ncbi.nlm.nih.gov/pubmed/37869141 http://dx.doi.org/10.3389/fneur.2023.1237394 |
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author | Cao, Peng Shi, Dingsheng Li, Ding Zhu, Zhoule Zhu, Junming Zhang, Jianmin Bai, Ruiliang |
author_facet | Cao, Peng Shi, Dingsheng Li, Ding Zhu, Zhoule Zhu, Junming Zhang, Jianmin Bai, Ruiliang |
author_sort | Cao, Peng |
collection | PubMed |
description | INTRODUCTION: Laser interstitial thermal therapy (LITT) at 1064 nm is widely used to treat epilepsy and brain tumors; however, no numerical model exists that can predict the ablation region with careful in vivo validation. METHODS: In this study, we proposed a model with a system of finite element methods simulating heat transfer inside the brain tissue, radiative transfer from the applicator into the brain tissue, and a model for tissue damage. RESULTS: To speed up the computation for practical applications, we also validated P1-approximation as an efficient and fast method for calculating radiative transfer by comparing it with Monte Carlo simulation. Finally, we validated the proposed numerical model in vivo on six healthy canines and eight human patients with epilepsy and found strong agreement between the predicted temperature profile and ablation area and the magnetic resonance imaging-measured results. DISCUSSION: Our results demonstrate the feasibility and reliability of the model in predicting the ablation area of 1,064 nm LITT, which is important for presurgical planning when using LITT. |
format | Online Article Text |
id | pubmed-10588634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105886342023-10-21 Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue Cao, Peng Shi, Dingsheng Li, Ding Zhu, Zhoule Zhu, Junming Zhang, Jianmin Bai, Ruiliang Front Neurol Neurology INTRODUCTION: Laser interstitial thermal therapy (LITT) at 1064 nm is widely used to treat epilepsy and brain tumors; however, no numerical model exists that can predict the ablation region with careful in vivo validation. METHODS: In this study, we proposed a model with a system of finite element methods simulating heat transfer inside the brain tissue, radiative transfer from the applicator into the brain tissue, and a model for tissue damage. RESULTS: To speed up the computation for practical applications, we also validated P1-approximation as an efficient and fast method for calculating radiative transfer by comparing it with Monte Carlo simulation. Finally, we validated the proposed numerical model in vivo on six healthy canines and eight human patients with epilepsy and found strong agreement between the predicted temperature profile and ablation area and the magnetic resonance imaging-measured results. DISCUSSION: Our results demonstrate the feasibility and reliability of the model in predicting the ablation area of 1,064 nm LITT, which is important for presurgical planning when using LITT. Frontiers Media S.A. 2023-10-06 /pmc/articles/PMC10588634/ /pubmed/37869141 http://dx.doi.org/10.3389/fneur.2023.1237394 Text en Copyright © 2023 Cao, Shi, Li, Zhu, Zhu, Zhang and Bai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Cao, Peng Shi, Dingsheng Li, Ding Zhu, Zhoule Zhu, Junming Zhang, Jianmin Bai, Ruiliang Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title | Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title_full | Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title_fullStr | Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title_full_unstemmed | Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title_short | Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
title_sort | modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588634/ https://www.ncbi.nlm.nih.gov/pubmed/37869141 http://dx.doi.org/10.3389/fneur.2023.1237394 |
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