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Quantative image analysis of positron emmisions tomography for inflammation research

Quantative image analysis of positron emmisions tomography for inflammation research
用于炎症研究的正电子发射断层扫描的定量图像分析
批准号:
1685763
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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中文摘要
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英文摘要
Lung diseases are one of the leading causes of death in the UK; responsible for 20% of all deaths each year. Diffuse Parenchymal Lung Diseases (DPLDs) describe a spectrum of different diseases; characterised by widespread inflammation and fibrosis, they represent a significant burden to the healthcare sector. Development of effective therapeutic treatments has been stifled by a lack of sensitive biomarkers. There is considerable interest in the role of imaging biomarkers in the field of pulmonary diseases, this is in part due to the shortcomings of existing methods to evaluate lung function. Molecular imaging, in particular, may be able to elucidate the fundamental molecular basis of lung diseases and promote the translation into effective therapies. 18F-FDG PET has been established within the research community as a technique that may allow the in-vivo measurement of lung inflammation. However, there has been criticisms of 18F-FDG PET in the context of pulmonary inflammation which are compounded by the technical challenges of imaging the lungs. There is currently no accepted method of quantification of 18F-FDG PET scans to assess lung inflammation; indeed, the difficulty of providing appropriate validation for the imaging techniques has contributed to the lack of standardisation. Taken together this limits its potential use as a biomarker. The objective of this project is to develop an image analysis pipeline to assess lung inflammation, compare competing analysis techniques and validate the models used. This will be achieved through two studies: a prospective study of sarcoidosis patients and healthy volunteers; and a retrospective study of Chronic Obstructive Pulmonary Disease (COPD) patients.
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  • 项目类别:
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  • 资助金额:
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  • 项目类别:
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