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Automating quality assessment of B-mode ultrasound scans (AQABUS)

B 型超声扫描的自动质量评估 (AQABUS)

基本信息

批准号：
EP/L505316/1
负责人：
Alison Noble
金额：
$ 44.33万
依托单位：
University of Oxford
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2014
资助国家：
英国
起止时间：
2014 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FL505316%2F1
关键词：
Automating quality assessment mode ultrasound

项目摘要

Diagnostic quality of ultrasound (US) scans of the same patient can vary significantly, depending on the level of skill andexpertise of the sonographer and the equipment used. This well documented operator dependence of quality can lead tomisdiagnosis; unnecessary referrals to other imaging modalities; rescans; and results in inefficiencies in clinical workflowwith associated added healthcare costs.In order to avoid the resultant delayed or incorrect stratification, sonographers are encouraged to follow standardisedacquisition protocol guidelines. Clinical studies show the benefit of this. However, no systematic image reviews areundertaken. This lack of standardization and monitoring of conformance has implications for the quality of diagnosis andclinical decisions made in a health service, and is also a key barrier to wider adoption of US as a cost-effective technologyfor stratified medicine.In a collaboration between Intelligent Ultrasound Ltd and Oxford University, the AQABUS project proposes to develop andevaluate a technology platform for automated quality assessment of US scans. The solution will be delivered as a QualityAssurance Service (QAS) to imaging departments, to assess whether scans are fit for purpose. Innovations includecreation of the IT infrastructure for delivering such a service; clinical design of QA reporting; and machine learning toautomate image QA which is key to the business proposition.

同一个病人的超声（US）扫描的诊断质量可能会有很大的差异，这取决于超声医师的技能和专业水平以及所使用的设备。这种操作者对质量的依赖性可能导致断层诊断错误;不必要地转诊到其他成像模式;重新扫描;并导致临床工作流程效率低下，并增加相关的医疗费用。为了避免由此产生的延迟或不正确的分层，鼓励超声医师遵循标准化的采集协议指南。临床研究表明了这一点的好处。然而，没有进行系统的图像审查。这种缺乏标准化和一致性监测的情况对医疗服务中的诊断质量和临床决策产生了影响，也是更广泛地采用US作为分层医学的成本效益技术的关键障碍。在智能超声有限公司和牛津大学的合作中，AQABUS项目提出开发和评估一个用于US扫描自动质量评估的技术平台。该解决方案将作为质量保证服务（QAS）交付给成像部门，以评估扫描是否符合目的。创新包括提供此类服务的IT基础设施; QA报告的临床设计;以及自动化图像QA的机器学习，这是业务主张的关键。