经皮微波热消融基于产生介电加热的电磁波，被广泛认为是肿瘤治疗最常用的技术之一。这项工作的目的是验证一个预测模型，该模型能够为医生在热消融手术期间提供指导，避免附带损害。采用有限元商业软件 COMSOL Multiphysics 来实施参数调整方法。控制方程是参考可变孔隙率编写的，并采用局部热非平衡（LTNE）方程。借助回归分析，将模拟结果与可用的体外和体内数据进行比较。对于体内数据模拟，速度矢量模量和方向分别在 0.0007 和 0.0009 m/s 和 90-270° 之间变化，以便使用该参数作为模拟的调整参数 - 并在最近针对差异进行优化根据实验结果 - 血流相对于天线的所有可能方向，其插入角度未记录在数据集中。该模型使用制造商 (AMICA) 提供的参考数据进行验证，该数据从体外获得牛肝。该模型准确预测消融区域的大小和形状，导致高估小于 10%。此外，还将预测数据与体内数据集进行比较。准确预测消融体积，平均低估率为 6%。预测值和体内数据的球形度指数分别为 0.75 和 0.62。本研究开发了一种肝脏肿瘤微波消融的预测模型，在预测离体牛肝脏和体内数据的消融尺寸和球形度指数方面表现出良好的性能。使用调谐技术获取体内人类肝脏数据。该研究强调了额外开发和验证的必要性，以提高体内应用的准确性和可靠性。版权所有 © 2023 作者。由爱思唯尔有限公司出版。保留所有权利。

Percutaneous microwave thermal ablation is based on electromagnetic waves that generate dielectric heating, and it is widely recognized as one of the mostly used techniques for tumor treatment. The aim of this work is to validate a predictive model capable of providing physicians with guidelines to be used during thermal ablation procedures avoiding collateral damage.A finite element commercial software, COMSOL Multiphysics, is employed to implement a tuning-parameter approach. Governing equations are written with reference to variable-porosity and Local Thermal Non-Equilibrium (LTNE) equations are employed. The simulations results are compared with available ex-vivo and in-vivo data with the help of regression analysis. For in-vivo data simulations, velocity vector modulus and direction are varied between 0.0007 and 0.0009 m/s and 90-270°, respectively, in order to use this parameter as a tuning one to simulate - and lately optimize with respect to the differences from experimental outcomes - all the possible directions of the blood flow with respect to the antenna, whose insertion angle is not registered in the dataset.The model is validated using reference data provided by the manufacturer (AMICA), which is obtained from ex-vivo bovine liver. The model accurately predicts the size and shape of the ablated area, resulting in an overestimation lesser than 10 %. Additionally, predictive data are compared to an in-vivo dataset. The ablated volume is accurately predicted with a mean underestimation of 6 %. The sphericity index is calculated as 0.75 and 0.62 for the predictions and in-vivo data, respectively.This study developed a predictive model for microwave ablation of liver tumors that showed good performance in predicting ablation dimensions and sphericity index for ex-vivo bovine liver and for in-vivo human liver data with the tuning technique. The study emphasizes the necessity for additional development and validation to enhance the accuracy and reliability of in-vivo application.Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.