Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue

IntroductionLaser 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.MethodsIn this study, we proposed a model with a system of finite element method...

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Main Authors: Peng Cao, Dingsheng Shi, Ding Li, Zhoule Zhu, Junming Zhu, Jianmin Zhang, Ruiliang Bai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1237394/full
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author Peng Cao
Dingsheng Shi
Ding Li
Zhoule Zhu
Zhoule Zhu
Junming Zhu
Junming Zhu
Jianmin Zhang
Jianmin Zhang
Ruiliang Bai
Ruiliang Bai
Ruiliang Bai
author_facet Peng Cao
Dingsheng Shi
Ding Li
Zhoule Zhu
Zhoule Zhu
Junming Zhu
Junming Zhu
Jianmin Zhang
Jianmin Zhang
Ruiliang Bai
Ruiliang Bai
Ruiliang Bai
author_sort Peng Cao
collection DOAJ
description IntroductionLaser 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.MethodsIn 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.ResultsTo 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.DiscussionOur 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.
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spelling doaj.art-dad275641bb14a7ea8b399ac221e75342023-10-06T11:55:16ZengFrontiers Media S.A.Frontiers in Neurology1664-22952023-10-011410.3389/fneur.2023.12373941237394Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissuePeng Cao0Dingsheng Shi1Ding Li2Zhoule Zhu3Zhoule Zhu4Junming Zhu5Junming Zhu6Jianmin Zhang7Jianmin Zhang8Ruiliang Bai9Ruiliang Bai10Ruiliang Bai11Department of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, ChinaResearch and Development Department, Hangzhou GenLight MedTech Co., Ltd., Hangzhou, Zhejiang Province, ChinaResearch and Development Department, Hangzhou GenLight MedTech Co., Ltd., Hangzhou, Zhejiang Province, ChinaDepartment of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, ChinaClinical Research Center for Neurological Diseases of Zhejiang Province, Hangzhou, Zhejiang Province, ChinaDepartment of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, ChinaClinical Research Center for Neurological Diseases of Zhejiang Province, Hangzhou, Zhejiang Province, ChinaDepartment of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, ChinaClinical Research Center for Neurological Diseases of Zhejiang Province, Hangzhou, Zhejiang Province, ChinaDepartment of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, ChinaInterdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, ChinaMOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, ChinaIntroductionLaser 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.MethodsIn 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.ResultsTo 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.DiscussionOur 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.https://www.frontiersin.org/articles/10.3389/fneur.2023.1237394/fulllaser interstitial thermal therapythermal damagelaser ablationsimulationbioheat transfer
spellingShingle Peng Cao
Dingsheng Shi
Ding Li
Zhoule Zhu
Zhoule Zhu
Junming Zhu
Junming Zhu
Jianmin Zhang
Jianmin Zhang
Ruiliang Bai
Ruiliang Bai
Ruiliang Bai
Modeling and in vivo experimental validation of 1,064 nm laser interstitial thermal therapy on brain tissue
Frontiers in Neurology
laser interstitial thermal therapy
thermal damage
laser ablation
simulation
bioheat transfer
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 laser interstitial thermal therapy
thermal damage
laser ablation
simulation
bioheat transfer
url https://www.frontiersin.org/articles/10.3389/fneur.2023.1237394/full
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