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.
肝肿瘤微波消融术面临消融不足或过度等挑战，可能导致肿瘤灭活不彻底及健康组织损伤。本研究旨在开发融合患者个体特征的三维模型，用于模拟肝肿瘤微波消融过程。核心目标是通过与临床结果对比验证预测消融区的准确性，为治疗前评估提供依据，从而辅助制定精准治疗方案。研究基于三名患者的增强CT影像构建三维模型，通过耦合电磁波传播与生物热传导方程模拟温度分布，预测肿瘤灭活范围及消融边界。结果显示，在达到充分消融边界后，延长消融时间虽会增加组织损伤，但并不能显著提升肿瘤灭活效果。临床消融区与预测消融区存在高度重叠：病例1的Dice相似系数为0.73（敏感性0.72，特异性0.76）；病例2为0.86（敏感性0.79，特异性0.96）；病例3为0.8（敏感性0.85，特异性0.74）。研究表明，个体化三维模型能有效预测消融区域，为优化微波消融治疗策略提供重要参考。
肿瘤(癌症)患者之家