计算建模在增强心脏消融热安全性中的作用
The Role of Computational Modeling in Enhancing Thermal Safety During Cardiac Ablation
AI总结：
本综述分析心脏消融技术，重点探讨计算建模在优化能量输送、热管理和预测消融结果中的作用，以提高手术安全性和有效性。
摘要：
目的：在这篇综述中，我们旨在对当前的心脏消融技术（如射频消融（RF）、冷冻消融和脉冲电场消融（PFA））进行分析，重点关注计算建模在提高这些治疗方法的精确性、安全性和有效性方面的作用。特别关注热管理，探讨计算方法如何有助于理解和控制消融过程中的能量输送、热量分布和组织反应。方法：综述了射频（RF）消融、冷冻消融和脉冲电场消融（PFA）的机制、应用和局限性。此外，还讨论了计算方法（包括数值方法和基于人工智能（AI）的模型）在评估消融过程中能量分布、病变大小和组织反应方面的应用。结果：计算方法可以预测消融治疗结果，并有助于优化病变大小、消融参数和手术安全性。然而，这些模型只有在经过适当验证和确认后才可靠。结论：需要进一步研究以收集可靠的体内数据，用于验证计算模型并将其整合到临床实践中，以改善患者预后。
英文摘要：
Objective: In this review, we aim to provide an analysis of current cardiac ablation techniques, such as radiofrequency ablation (RF), cryoablation, and pulsed-field ablation (PFA), with a focus on the role of computational modeling in enhancing the precision, safety, and effectiveness of these treatments. Particular attention is given to thermal management, exploring how computational approaches contribute to understanding and controlling energy delivery, heat distribution, and tissue response during ablation procedures. Methods: The mechanisms, applications, and limitations of radiofrequency (RF) ablation, cryoablation, and pulsed field ablation (PFA) are reviewed. Additionally, the use of computational approaches, including numerical methods and artificial intelligence (AI)-based models, for evaluating energy distribution, lesion size, and tissue response during ablation procedures is discussed. Results: Computational methods can predict ablation treatment outcomes and help optimize lesion size, ablation parameters, and procedural safety. However, these models are only reliable when properly validated and verified. Conclusion: Further research is essential to collect reliable in vivo data for validating computational models and integrating them into clinical practice to improve patient outcomes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
