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

Frontiers in Neurology

Neurology

Peng Cao¹  Jianmin Zhang²  Zhoule Zhu²  Junming Zhu²  Ruiliang Bai³  Dingsheng Shi⁴  Ding Li⁴ 

[1] Department of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, China;Department of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, China;Clinical Research Center for Neurological Diseases of Zhejiang Province, Hangzhou, Zhejiang Province, China;Department of Neurosurgery, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang Province, China;Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China;MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China;Research and Development Department, Hangzhou GenLight MedTech Co., Ltd., Hangzhou, Zhejiang Province, China;

关键词: laser interstitial thermal therapy;    thermal damage;    laser ablation;    simulation;    bioheat transfer;   

DOI  :  10.3389/fneur.2023.1237394

 received in 2023-06-09, accepted in 2023-09-25,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Cao, Shi, Li, Zhu, Zhu, Zhang and Bai.