A Thermo-Fluid-Solid Model Thermal Damage Prediction in Laser Ablation Therapy

IF 2.4 3区 医学 Q2 SURGERY
Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang
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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 ≤ ${\le} $ 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.

热-流-固模型在激光消融治疗中的热损伤预测。
背景:精确的温度控制对于安全、有效的微创肿瘤激光消融治疗至关重要,但目前的模型缺乏对过程中多物理场耦合的充分理解。方法:利用孔隙弹性理论,我们建立了一个全耦合的光学-热-流-固模型,用于高保真的温度预测,以优化手术方案。在猪肉组织中进行了精确的针头定位和多点温度测量的离体实验,验证了模型的有效性。结果:模拟结果表明,弹性组织中的热膨胀导致流体回流到受热区(热聚焦)。光束腰越小,光穿透能力越强,孔隙率越高,峰值温度越低,扩散越快。验证的最大预测误差≤1.73°C。结论:本研究为激光治疗的精确温度控制和组织损伤预测提供了理论依据,对前列腺肿瘤的治疗具有重要意义。
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来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
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.
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