Models of multiscale fluid transport for characterising treatment response in tumours

用于表征肿瘤治疗反应的多尺度流体运输模型

• 批准号: 2438496
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2438496
• 关键词: Models; multiscale; fluid; transport; characterising

Human tumours show a heterogeneity of response to treatments like chemotherapy. Treatments that don't produce a good response often cause unnecessary side effects and delay the start of effective treatment. Current clinical and imaging approaches to monitoring are insensitive to early changes in tumours that might indicate a favourable response. Tumour blood supply and interstitial flow play an essential role in tumour growth, invasion, and treatment response. Correspondingly, we seek to augment imaging measurements with knowledge of the physics and physiology of the tumour and tissue microenvironment to create fundamentally new ways of discovering early predictors of response. This project is aimed at formulating models of fluid transport and microstructural change at different spatial scales using multiple-network poroelastic theory (MPET). MPET has recently been used by the main supervisor to create models of multiscale flow within the brain for exploring mechanisms of dementia progression; its application to tumour modelling, and expansion to encompass remodelling phenomena is entirely new.

人类肿瘤对化疗等治疗的反应具有异质性。不能产生良好反应的治疗通常会引起不必要的副作用，并延迟有效治疗的开始。目前的临床和成像监测方法对可能表明有利反应的肿瘤早期变化不敏感。肿瘤血液供应和间质流在肿瘤生长、侵袭和治疗反应中起着至关重要的作用。相应地，我们寻求用肿瘤和组织微环境的物理学和生理学知识来增强成像测量，以创造发现反应早期预测因子的全新方法。本项目旨在利用多重网络孔隙弹性理论（MPET），建立不同空间尺度下的流体输运和微观结构变化模型。MPET最近已被主要主管用于创建大脑内多尺度流动的模型，以探索痴呆症进展的机制;其应用于肿瘤建模，并扩展到包括重塑现象是全新的。