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

Authors :
Coffey, Sean
Lewandowski, Adam J
Garratt, Steve
Meijer, Rudy
Lynum, Steven
Bedi, Ram
Paterson, James
Yaqub, Mohammad
Noble, J Alison
Neubauer, Stefan
Petersen, Steffen E
Allen, Naomi
Sudlow, Cathie
Collins, Rory
Matthews, Paul M
Leeson, Paul
Source :
European Journal of Preventive Cardiology; November 2017, Vol. 24 Issue: 17 p1799-1806, 8p
Publication Year :
2017

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.

Details

Language :
English
ISSN :
20474873 and 20474881
Volume :
24
Issue :
17
Database :
Supplemental Index
Journal :
European Journal of Preventive Cardiology
Publication Type :
Periodical
Accession number :
ejs43939131
Full Text :
https://doi.org/10.1177/2047487317732273