热疗生物传热模型的研究进展:综述与展望

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY
Xiangkun Yuan , Jiaying Fu , Yilong Mao , Jianyuan Li , Yongxia Zhang , Yang Zhao , Bing Zhang , Ruixue Yin , Hongbo Zhang
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引用次数: 0

摘要

随着近几十年来癌症病例的迅速增加,广泛的研究集中在开发有效的治疗方法上。在这些方法中,热疗因其无创、无毒和良好的安全性而成为一种有前途的治疗选择。然而,在精确的温度控制和体内参数的最佳调整方面仍然存在挑战。因此,生物传热模型对于准确预测治疗过程中组织和器官的温度分布是必要的。本文系统地回顾了生物传热模型的发展历程,从经典的Pennes模型到分数阶模型。它详细介绍了基本的假设,数学公式,优势,并在生物传热研究的背景下,每个模型的局限性。此外,血流对散热和组织均匀性的影响进行了研究。在此背景下,主要的生物传热模型,包括连续介质模型、血管模型和多孔介质模型,都进行了批判性评估,强调了它们的适用性。本文还提出了针对不同生物组织选择合适模型的方案,为活体组织的生物传热计算提供理论基础和实践指导。新兴技术的整合,如人工智能(AI)和先进的体外模型,如工程组织等效物,被强调为未来的趋势。这些进步可以提高建模的准确性,仿生活组织可以作为更可靠的模型验证平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in bioheat transfer models for hyperthermia: A comprehensive review and future directions
With the rapid increase in cancer cases over recent decades, extensive research has focused on developing effective treatments. Among these approaches, hyperthermia stands out as a promising therapeutic option due to its non-invasiveness, non-toxicity, and favorable safety profile. However, challenges remain regarding precise temperature control and optimal adjustment of in vivo parameters. Therefore, bioheat transfer models are necessary to accurately predict tissue and organ temperature distributions during treatment. This paper provides a systematic review of the evolution of bioheat transfer models, ranging from the classical Pennes model to fractional-order models. It details the fundamental assumptions, mathematical formulations, advantages, and limitations of each model within the context of bioheat transfer research. Furthermore, the effects of blood flow on heat dissipation and tissue homogeneity are examined. In this context, major bioheat transfer models, including the continuum model, vascular model, and porous media model, are critically evaluated, emphasizing their applicability. This review also proposes a scheme for selecting appropriate models for different biological tissues, providing a theoretical foundation and practical guidance for bioheat transfer calculations in living tissues. The integration of emerging technologies, such as artificial intelligent (AI) and advanced in vitro models, for example, engineered tissue equivalents, is highlighted as a future trend. These advancements could enhance modeling accuracy, with biomimetic living tissues serving as more reliable platforms for model validation.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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