Thermo-mechanical coupling simulation analysis of cryotherapy on real anatomical structure lung cancer model

Abstract

Cryotherapy is an ideally invasive way for lung cancer. Conventional cryoablation treatment lacks precise treatment plans and evaluation methods, relying on medical images for assistance. Furthermore, the current simulations primarily employ simplistic geometric models, lacking the complexity of real structures. Consequently, our research endeavors to introduce a reconstructed 3D model based on actual lung tumor tissue and employ the thermo-mechanical coupling analysis to strategize the entire surgical procedure. Additionally, we explore the optimization of probe number and angle during the pre-treatment phase. In order to enhance the heat transfer and efficacy of killing, the inclusion of nanoparticles was implemented. The assessment of effective injury was based on the criteria of thermal and stress damage, which were visualized through the cloud images depicting temperature and stress distribution. Further, a genuine clinical case was reconstructed and refined through our simulation. It is expected to establish a comprehensive database of cases and develop an optimized surgical planning system for cryotherapy.