Suppr超能文献

具有温度相关特性的皮肤肿瘤组织的数值建模用于动态热成像。

Numerical modelling of skin tumour tissue with temperature-dependent properties for dynamic thermography.

机构信息

Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000, Maribor, Slovenia.

Brunel University London, Kingston Lane, Uxbridge, UB8 3PH, United Kingdom; Department of Civil and Environmental Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente 225, Rio de Janeiro, 22451-900, Brazil.

出版信息

Comput Biol Med. 2019 Sep;112:103367. doi: 10.1016/j.compbiomed.2019.103367. Epub 2019 Jul 24.

Abstract

Dynamic thermography has been clinically proven to be a valuable diagnostic technique for skin tumour detection as well as for other medical applications, and shows many advantages over static thermography. Numerical modelling of heat transfer phenomena in biological tissue during dynamic thermography can aid the technique by improving process parameters or by estimating unknown tissue parameters based on measurement data. This paper presents a new non-linear numerical model of multilayer skin tissue containing a skin tumour together with thermoregulation response of the tissue during the cooling-rewarming process of dynamic thermography. The thermoregulation response is modelled by temperature-dependent blood perfusion rate and metabolic heat generation. The aim is to describe bioheat transfer more realistically. The model is based on the Pennes bioheat equation and solved numerically using a subdomain BEM approach treating the problem as axisymmetrical. The paper includes computational tests for Clark II and Clark IV tumours, comparing the models using constant and temperature-dependent properties which showed noticeable differences and highlighted the importance of using a local thermoregulation model. Results also show the advantage of using dynamic thermography for skin tumour screening and detection at an early stage. One of the contributions of this paper is a complete sensitivity analysis of 56 model parameters based on the gradient of the surface temperature difference between tumour and healthy skin. The analysis shows that size of the tumour, blood perfusion rate, thermoregulation coefficient of the tumour, body core temperature and density and specific heat of the skin layers in which the tumour is embedded are important for modelling the problem, and so have to be determined more accurately to reflect realistic skin response of the investigated tissue, while metabolic heat generation and its thermoregulation are not.

摘要

动态热成像已被临床证明是一种有价值的皮肤肿瘤检测诊断技术,也适用于其他医学应用,并显示出比静态热成像多得多的优势。在动态热成像中,对生物组织中传热现象的数值建模可以通过改进工艺参数或根据测量数据估计未知的组织参数来辅助该技术。本文提出了一种新的包含皮肤肿瘤的多层皮肤组织的非线性数值模型,以及在动态热成像的冷却-复温过程中组织的体温调节反应。体温调节反应通过温度相关的血液灌注率和代谢产热来建模。目的是更真实地描述生物传热。该模型基于 Pennes 生物传热方程,并使用子域边界元法(BEM)数值求解,将问题处理为轴对称。本文包括对 Clark II 和 Clark IV 肿瘤的计算测试,比较了使用常数和温度相关特性的模型,结果显示出明显的差异,并强调了使用局部体温调节模型的重要性。结果还表明,早期使用动态热成像筛查和检测皮肤肿瘤的优势。本文的贡献之一是基于肿瘤与健康皮肤之间表面温差的梯度,对 56 个模型参数进行了完整的灵敏度分析。分析表明,肿瘤的大小、血液灌注率、肿瘤的体温调节系数、体核温度以及肿瘤嵌入的皮肤层的密度和比热对于建模问题很重要,因此必须更准确地确定,以反映被研究组织的真实皮肤反应,而代谢产热及其体温调节则不是。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验