Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang
{"title":"A Thermo-Fluid-Solid Model Thermal Damage Prediction in Laser Ablation Therapy","authors":"Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang","doi":"10.1002/rcs.70227","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Precise temperature control is critical for safe, effective laser ablation in minimally invasive tumour treatment, but current models lack full understanding of multi-physics coupling during the process.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Using poroelastic theory, we developed a fully coupled optical-thermal-fluid-solid model for high-fidelity temperature prediction to optimise surgical protocols. Ex vivo experiments in pork tissue with precise needle positioning and multi-point temperature measurements validated the model.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Simulations showed thermal expansion in elastic tissues induces fluid backflow to the heating zone (thermal focussing). A smaller beam waist enhances optical penetration, while higher porosity reduces peak temperature and promotes diffusion. Validation yielded a maximum prediction error <span></span><math>\n <semantics>\n <mrow>\n <mo>≤</mo>\n </mrow>\n <annotation> ${\\le} $</annotation>\n </semantics></math> 1.73°C.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study provides a theoretical basis for precise temperature control and tissue damage prediction in laser therapy, with particular relevance to prostate tumour treatment.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"22 5","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.70227","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Precise temperature control is critical for safe, effective laser ablation in minimally invasive tumour treatment, but current models lack full understanding of multi-physics coupling during the process.
Methods
Using poroelastic theory, we developed a fully coupled optical-thermal-fluid-solid model for high-fidelity temperature prediction to optimise surgical protocols. Ex vivo experiments in pork tissue with precise needle positioning and multi-point temperature measurements validated the model.
Results
Simulations showed thermal expansion in elastic tissues induces fluid backflow to the heating zone (thermal focussing). A smaller beam waist enhances optical penetration, while higher porosity reduces peak temperature and promotes diffusion. Validation yielded a maximum prediction error 1.73°C.
Conclusions
This study provides a theoretical basis for precise temperature control and tissue damage prediction in laser therapy, with particular relevance to prostate tumour treatment.
期刊介绍:
The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.