Design Optimisation of Tissue Scaffolds Using Patient-specific and In Vivo Criteria
Design Optimisation of Tissue Scaffolds Using Patient-specific and In Vivo Criteria
批准号:
EP/N006089/1
负责人:
Yuhang Chen
金额:
$12.71万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
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英文摘要
Background:As a result of increasing life expectancy diseases in bone and various types of soft tissue have become a major health concern. For example, in the UK, musculoskeletal conditions are a major area of NHS expenditure, consuming £4.76 billion in 2009-2010 alone. Currently cancer affects one in three of us during our lifetime and, in 2010, the costs of cancer diagnosis and treatment across the UK was estimated at £9.4 billion. The treatment process can require significant amounts of tissue to be removed or destroyed, with the resulting damage requiring a supply of appropriate viable tissues from the patient or from donors which may be of limited availability. Tissue engineering, as a fast emerging interdisciplinary area, offers enormous potential to solve such a critical problem in public health and socio-economy. Not only does the scaffold create a structural matrix to generate the required spatial tissue anatomy, but also provides a vehicle for the nutrient intake and waste product removal from/to the surrounding environment necessary for cell proliferation and tissue growth. However, there remain critical challenges, including a 'lack of quantitative design optimisation approach for scaffold architecture' and 'how to incorporate in vivo environment and patient-specific factors in scaffold selection', which to some extent prevent tissue engineering from being translated to a clinically-adoptable technology.Programme and MethodologyThis First Grant proposes to address the challenges identified above and, more importantly, to make critical steps forward in bridging the gap between the advances in in vitro tissue engineering and its ultimate goal of 'in vivo tissue regeneration' by giving it an additional dimension of vitality, i.e. design optimisation of scaffolds subject to tissue-specificity and patient-specificity. The approach taken here is to establish a design optimisation framework that considers different tissue environment, the underlying engineering challenges of scaffolding in vivo, and the fluid and solid mechanics problems involved, using state-of-the-art computational tools including structural optimisation and inverse homogenisation. This project aims to address the following critical aspects in the design process of scaffold microstructure: i) Permeability of scaffold microstructure will be optimised towards the degree of anisotropy in the local microfluidic environment near the scaffold-host interface; ii) To improve the transport capacity of large scaffolds, a gradient transport property across the scaffold will be obtained by applying a gradient test field (macroscopically uniform but microscopically gradient); iii) An additional optimisation objective with respect to the minimisation of interfacial stress will be introduced, which not only dictates that the scaffold geometrically fits into the tissue cavity but also ensures that the interfacial stress caused by the possible relative movement between scaffold and the host tissue can be kept to a minimum; iv) A multi-objective optimisation scheme that takes into account the microenvironment of host tissue affected by both tissue-specific and patient-specific factors; v) The effective capacity of oxygen diffusion and nutrient supply in the scaffold microstructure will then be evaluated by an in silico mass diffusion model. Project OutcomeThe ultimate deliverable from this First Grant is a novel design optimisation tool for tissue scaffold. This tool will, for the first time, enable the scaffold microstructures to be designed towards individual and personalised use in vivo. Clinical RelevanceThe project also benefits from a clinical advisor who can provide not only additional sustainability to the programme and bring a new collaboration and clinical contacts from the NHS, but also the biomedical context to ensure that the implications of any simplifications can be addressed in future work.
期刊论文(4)
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科研奖励(0)
会议论文
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使用仪器探测-计算框架和实验验证来定位人类前列腺中的肿瘤结节并确定其大小。
DOI:
10.1080/10255842.2022.2065200
发表时间:
2023
期刊:
Computer methods in biomechanics and biomedical engineering
影响因子:
1.6
作者:
[Candito A]
通讯作者:
Candito A
DOI:
10.1002/cnm.3758
发表时间:
2023-07-21
期刊:
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
影响因子:
2.1
作者:
[Anderson,Calum, Ntala,Chara, Chen,Yuhang]
通讯作者:
Chen,Yuhang
''Mechanically-intelligent'' Intra-operative Tissue Assessment for Robot-Assisted Surgery (MIRAS)
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批准号:EP/V047612/1
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项目类别:Research Grant
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资助金额:$158.68万
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财政年份:2022
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负责人:Yuhang Chen
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依托单位:
海外基金