利用患者特异性三维建模与模拟优化肝癌微波消融治疗

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

作者信息

Heshmat Amirreza, O'Connor Caleb S, Albuquerque Marques Silva Jessica, Paolucci Iwan, Jones Aaron Kyle, Odisio Bruno C, Brock Kristy K

机构信息

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.

Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA.

出版信息

Cancers (Basel). 2024 May 31;16(11):2095. doi: 10.3390/cancers16112095.

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.

摘要

肝脏肿瘤的微波消融(MWA)存在诸如消融不足和过度消融等挑战,这可能导致肿瘤破坏不充分以及对健康组织的损伤。本研究旨在开发个性化三维(3D)模型,以纳入患者特定特征来模拟肝脏肿瘤的MWA。主要目标是将预测的消融区域与临床结果进行比较,在治疗前为MWA提供见解,以促进准确的治疗规划。使用三名患者的对比增强CT图像创建3D模型。模拟采用耦合电磁波传播和生物热传递来估计温度分布,预测肿瘤破坏和消融边缘。研究结果表明,一旦达到足够的边缘,延长消融时间并不会显著改善肿瘤破坏,尽管会增加组织损伤。临床消融区域与预测的消融区域之间存在大量重叠。对于患者1,Dice评分为0.73,表明准确性较高,灵敏度为0.72,特异性为0.76。对于患者2,Dice评分为0.86,灵敏度为0.79,特异性为0.96。对于患者3,Dice评分为0.8,灵敏度为0.85,特异性为0.74。患者特异性3D模型在准确预测消融区域和优化MWA治疗策略方面显示出潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bb3/11171243/e6120cf40e75/cancers-16-02095-g001.jpg

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