Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer

Simple Summary Microwave ablation (MWA) is a minimally invasive image-guided approach that uses microwaves emitted by an antenna to heat and destroy cancer cells. MWA is commonly used for treating liver tumors due to its efficient heating, minimal susceptibility to heat sink effects, and ability to treat larger tumors effectively. However, achieving effective ablation, defined by a minimal ablative margin of at least 5 mm, is crucial to prevent tumor recurrence and is affected by factors like tumor size and location, antenna placement, patient health status, and MWA device parameters. Challenges in antenna placement and the need for precise monitoring during MWA therapy often result in repeated adjustments and potential over-ablation, risking damage to healthy tissues. This study demonstrated that patient-specific three-dimensional models in MWA therapy can accurately predict the delivered ablation zone and have the potential to improve treatment efficacy, enabling more precise ablations and better patient outcomes with minimal unnecessary tissue damage and adequate margins.Abstract Microwave ablation (MWA) of liver tumors presents challenges like under- and over-ablation, potentially leading to inadequate tumor destruction and damage to healthy tissue. This study aims to develop personalized three-dimensional (3D) models to simulate MWA for liver tumors, incorporating patient-specific characteristics. The primary objective is to validate the predicted ablation zones compared to clinical outcomes, offering insights into MWA before therapy to facilitate accurate treatment planning. Contrast-enhanced CT images from three patients were used to create 3D models. The simulations used coupled electromagnetic wave propagation and bioheat transfer to estimate the temperature distribution, predicting tumor destruction and ablation margins. The findings indicate that prolonged ablation does not significantly improve tumor destruction once an adequate margin is achieved, although it increases tissue damage. There was a substantial overlap between the clinical ablation zones and the predicted ablation zones. For patient 1, the Dice score was 0.73, indicating high accuracy, with a sensitivity of 0.72 and a specificity of 0.76. For patient 2, the Dice score was 0.86, with a sensitivity of 0.79 and a specificity of 0.96. For patient 3, the Dice score was 0.8, with a sensitivity of 0.85 and a specificity of 0.74. Patient-specific 3D models demonstrate potential in accurately predicting ablation zones and optimizing MWA treatment strategies.