英国生物银行 10 万名参与者的颈动脉成像方案和质量保证:制定和评估。

Protocol and quality assurance for carotid imaging in 100,000 participants of UK Biobank: development and assessment.

机构信息

1 Division of Cardiovascular Medicine, University of Oxford, UK.

2 Department of Medicine, University of Otago, New Zealand.

出版信息

Eur J Prev Cardiol. 2017 Nov;24(17):1799-1806. doi: 10.1177/2047487317732273. Epub 2017 Sep 19.

Abstract

Background Ultrasound imaging is able to quantify carotid arterial wall structure for the assessment of cerebral and cardiovascular disease risks. We describe a protocol and quality assurance process to enable carotid imaging at large scale that has been developed for the UK Biobank Imaging Enhancement Study of 100,000 individuals. Design An imaging protocol was developed to allow measurement of carotid intima-media thickness from the far wall of both common carotid arteries. Six quality assurance criteria were defined and a web-based interface (Intelligent Ultrasound) was developed to facilitate rapid assessment of images against each criterion. Results and conclusions Excellent inter and intra-observer agreements were obtained for image quality evaluations on a test dataset from 100 individuals. The image quality criteria then were applied in the UK Biobank Imaging Enhancement Study. Data from 2560 participants were evaluated. Feedback of results to the imaging team led to improvement in quality assurance, with quality assurance failures falling from 16.2% in the first two-month period examined to 6.4% in the last. Eighty per cent had all carotid intima-media thickness images graded as of acceptable quality, with at least one image acceptable for 98% of participants. Carotid intima-media thickness measures showed expected associations with increasing age and gender. Carotid imaging can be performed consistently, with semi-automated quality assurance of all scans, in a limited timeframe within a large scale multimodality imaging assessment. Routine feedback of quality control metrics to operators can improve the quality of the data collection.

摘要

背景 超声成像是一种能够定量评估颈动脉壁结构的方法,可用于评估脑卒中和心血管疾病的风险。我们描述了一种协议和质量保证流程,用于在英国生物库影像增强研究中对 10 万名个体进行大规模的颈动脉成像。 设计 制定了一种成像协议,以允许从双侧颈总动脉的远壁测量颈动脉内膜中层厚度。定义了六个质量保证标准,并开发了一个基于网络的界面(智能超声),以方便根据每个标准快速评估图像。 结果和结论 在 100 名个体的测试数据集上,对图像质量评估进行了良好的观察者间和观察者内一致性评估。然后,将图像质量标准应用于英国生物库影像增强研究。评估了 2560 名参与者的数据。将结果反馈给成像团队,可提高质量保证,审查的前两个月质量保证失败率从 16.2%下降到最后两个月的 6.4%。80%的颈动脉内膜中层厚度图像的质量分级为可接受,98%的参与者至少有一个图像可接受。颈动脉内膜中层厚度测量值与年龄和性别增加呈预期相关性。在大型多模态影像评估中,可在有限的时间内,以半自动方式对所有扫描进行一致性颈动脉成像,并进行全面的质量保证。将质量控制指标的常规反馈给操作人员,可以提高数据收集的质量。

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