Current working project title: Development of super-resolution ultrasound imaging for tumour characterisation.

目前的工作项目名称：开发用于肿瘤表征的超分辨率超声成像。

• 批准号: 2841210
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2841210
• 关键词: Current; working; project; title; Development

This research project will investigate the clinical use of a high-performance imaging modality called Super Resolution Ultrasound (referred to as SRUS throughout this report) and its ability to probe micro-scale tissue morphology to characterise tumours. The fundamental question we will be trying to answer is 'What beneficial information can super-resolution ultrasound images provide to clinical staff during diagnosing, monitoring and treating particular diseases?'. Currently, the project's intended scope is to focus on tumour characterisation, as there have been several publications documenting potential links between the morphology of a tumour's microvasculature tissue and its disease severity. Additionally, there is evidence that other types of conditions could be studied by analysing the microvascular structure of particular tissues; micro-structures within the tongue potentially could reveal information about a patient's sepsis, and the project scope could be expanded at a later date to investigate this. Existing clinical procedures in the UK healthcare system, the widely available equipment and how well SRUS fits into the clinical workflow will all have to be considered in this research, and the methodology of the project will reflect these considerations. Initially, the project has been focused on using ultrasound phantoms and assessing the performance of the equipment and processing algorithms for producing SRUS images. Thereafter, the proposed methodology will focus on analysing existing clinical data sets as well as collecting more clinical data to better understand the information that can be extracted about tissue morphology, and attempting to develop a method of quantifying and comparing different tumour microstructures using existing histology analysis as a ground truth indicator.

该研究项目将调查一种名为超分辨率超声（在本报告中称为SRUS）的高性能成像模式的临床使用及其探测微尺度组织形态以识别肿瘤的能力。我们将试图回答的基本问题是“在诊断、监测和治疗特定疾病时，超分辨率超声图像可以为临床工作人员提供哪些有益的信息？”'.目前，该项目的预期范围是专注于肿瘤表征，因为已经有几篇出版物记录了肿瘤微血管组织形态与疾病严重程度之间的潜在联系。此外，有证据表明，可以通过分析特定组织的微血管结构来研究其他类型的疾病;舌头内的微结构可能会揭示有关患者败血症的信息，并且项目范围可以在以后扩大以调查这一点。在本研究中，必须考虑英国医疗保健系统中现有的临床程序、广泛可用的设备以及SRUS与临床工作流程的匹配程度，并且本项目的方法将反映这些考虑因素。最初，该项目的重点是使用超声体模和评估设备的性能和产生SRUS图像的处理算法。此后，拟议的方法将侧重于分析现有的临床数据集以及收集更多的临床数据，以更好地了解可以提取的有关组织形态的信息，并尝试开发一种方法，使用现有的组织学分析作为地面实况指标来量化和比较不同的肿瘤微观结构。