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Suitability of UK biobank retinal images for automatic analysis of morphometric properties of the vasculature

Suitability of UK biobank retinal images for automatic analysis of morphometric properties of the vasculature
Suitability of UK biobank retinal images for automatic analysis of morphometric properties of the vasculature
PURPOSE:To assess the suitability of retinal images held in the UK Biobank--the largest retinal data repository in a prospective population-based cohort--for computer assisted vascular morphometry, generating measures that are commonly investigated as candidate biomarkers of systemic disease.

METHODS:Non-mydriatic fundus images from both eyes of 2,690 participants--people with a self-reported history of myocardial infarction (n=1,345) and a matched control group (n=1,345)--were analysed using VAMPIRE software. These images were drawn from those of 68,554 UK Biobank participants who underwent retinal imaging at recruitment. Four operators were trained in the use of the software to measure retinal vascular tortuosity and bifurcation geometry.

RESULTS:Total operator time was approximately 360 hours (4 minutes per image). 2,252 (84%) of participants had at least one image of sufficient quality for the software to process, i.e. there was sufficient detection of retinal vessels in the image by the software to attempt the measurement of the target parameters. 1,604 (60%) of participants had an image of at least one eye that was adequately analysed by the software, i.e. the measurement protocol was successfully completed. Increasing age was associated with a reduced proportion of images that could be processed (p=0.0004) and analysed (p<0.0001). Cases exhibited more acute arteriolar branching angles (p=0.02) as well as lower arteriolar and venular tortuosity (p<0.0001).

CONCLUSIONS: A proportion of the retinal images in UK Biobank are of insufficient quality for automated analysis. However, the large size of the UK Biobank means that tens of thousands of images are available and suitable for computational analysis. Parametric information measured from the retinas of participants with suspected cardiovascular disease was significantly different to that measured from a matched control group.
1932-6203
1-10
MacGillivray, Thomas J.
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Cameron, James R.
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Zhang, Qiuli
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El-Medany, Ahmed
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Mulholland, Carl
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Sheng, Ziyan
737c525a-513b-4be9-922f-80138455ac09
Dhillon, Bal
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Doubal, Fergus N.
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Foster, Paul J.
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Trucco, Emmanuel
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Sudlow, Cathie
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Goverdhan, Srini
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MacGillivray, Thomas J.
e685c907-9129-469b-86b0-1374f27dbb8c
Cameron, James R.
c0eb037b-af68-4b11-adf1-eed0aa6afcc8
Zhang, Qiuli
83ad3716-51ac-4c21-ae5f-a7756b58a6ce
El-Medany, Ahmed
a8247251-9169-4ec3-98f5-4b0e2fb79201
Mulholland, Carl
3c22e761-a7c1-494d-b4c7-b7511adde117
Sheng, Ziyan
737c525a-513b-4be9-922f-80138455ac09
Dhillon, Bal
bf394f89-07b5-42c9-8be6-bef9bd5bd9e2
Doubal, Fergus N.
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Foster, Paul J.
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Trucco, Emmanuel
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Sudlow, Cathie
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Goverdhan, Srini
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MacGillivray, Thomas J., Cameron, James R. and Zhang, Qiuli et al. (2015) Suitability of UK biobank retinal images for automatic analysis of morphometric properties of the vasculature. PLoS ONE, 10 (5), 1-10. (doi:10.1371/journal.pone.0127914). (PMID:26000792)

Record type: Article

Abstract

PURPOSE:To assess the suitability of retinal images held in the UK Biobank--the largest retinal data repository in a prospective population-based cohort--for computer assisted vascular morphometry, generating measures that are commonly investigated as candidate biomarkers of systemic disease.

METHODS:Non-mydriatic fundus images from both eyes of 2,690 participants--people with a self-reported history of myocardial infarction (n=1,345) and a matched control group (n=1,345)--were analysed using VAMPIRE software. These images were drawn from those of 68,554 UK Biobank participants who underwent retinal imaging at recruitment. Four operators were trained in the use of the software to measure retinal vascular tortuosity and bifurcation geometry.

RESULTS:Total operator time was approximately 360 hours (4 minutes per image). 2,252 (84%) of participants had at least one image of sufficient quality for the software to process, i.e. there was sufficient detection of retinal vessels in the image by the software to attempt the measurement of the target parameters. 1,604 (60%) of participants had an image of at least one eye that was adequately analysed by the software, i.e. the measurement protocol was successfully completed. Increasing age was associated with a reduced proportion of images that could be processed (p=0.0004) and analysed (p<0.0001). Cases exhibited more acute arteriolar branching angles (p=0.02) as well as lower arteriolar and venular tortuosity (p<0.0001).

CONCLUSIONS: A proportion of the retinal images in UK Biobank are of insufficient quality for automated analysis. However, the large size of the UK Biobank means that tens of thousands of images are available and suitable for computational analysis. Parametric information measured from the retinas of participants with suspected cardiovascular disease was significantly different to that measured from a matched control group.

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Accepted/In Press date: 20 April 2015
e-pub ahead of print date: 22 May 2015
Published date: 22 May 2015
Organisations: Clinical & Experimental Sciences

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Local EPrints ID: 388346
URI: https://eprints.soton.ac.uk/id/eprint/388346
ISSN: 1932-6203
PURE UUID: 276480da-2a93-4010-90c9-98ef5b790023

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Date deposited: 24 Feb 2016 13:25
Last modified: 05 Jul 2018 16:31

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Contributors

Author: Thomas J. MacGillivray
Author: James R. Cameron
Author: Qiuli Zhang
Author: Ahmed El-Medany
Author: Carl Mulholland
Author: Ziyan Sheng
Author: Bal Dhillon
Author: Fergus N. Doubal
Author: Paul J. Foster
Author: Emmanuel Trucco
Author: Cathie Sudlow
Author: Srini Goverdhan

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