Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

Thomas J MacGillivray; James R Cameron; Qiuli Zhang; Ahmed El-Medany; Carl Mulholland; Ziyan Sheng; Fergus N Doubal; Emmanuel Trucco; Tariq Aslam; Yanchun Bao; Sarah Barman; Paul Bishop; Peter Blows; Catey Bunce; Usha Chakravarthy; Michelle Chan; Antonietta Chianca; Valentina Cipriani; David Crabb; Philippa Cumberland; Alexander Day; Parul Desai; Bal Dhillon; Andrew Dick; Paul Foster; John Gallacher; David Ted Garway; Srini Goverdhan; Jeremy Guggenheim; Priyal Gupta; Chris Hammond; Ruth Hogg; Anne Hughes; Pearse Keane; Peng Tee Khaw; Anthony Khawaja; Gerassimos Lascaratos; Andrew Lotery; Phil Luthert; Tom MacGillivray; Sarah Mackie; Keith Martin; Michelle McGaughey; Bernadette McGuinness; Gareth McKay; Martin McKibbin; Danny Mitry; Tony Moore; James Morgan; Zaynah Muthy; Eoin O'Sullivan; Chris Owen; Praveen Patel; Tunde Peto; Jugnoo Rahi; Alicja Rudnicka; Carlota Grossi Sampedro; David Steel; Irene Stratton; Nicholas Strouthdis; Cathie Sudlow; Caroline Thaung; Dhanes Thomas; Emanuele Trucco; Adnan Tufail; Stephen Vernon; Ananth Viswanathan; Cathy Williams; Katie Williams; John Yates; Max Yates; Jennifer Yip; Haogang Zhu

doi:10.1371/journal.pone.0127914

Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

Thomas J MacGillivray, James R Cameron, Qiuli Zhang, Ahmed El-Medany, Carl Mulholland, Ziyan Sheng, Fergus N Doubal, Emmanuel Trucco, Tariq Aslam (Collaborator), Yanchun Bao (Collaborator), Sarah Barman (Collaborator), Paul Bishop (Collaborator), Peter Blows (Collaborator), Catey Bunce (Collaborator), Usha Chakravarthy (Collaborator), Michelle Chan (Collaborator), Antonietta Chianca (Collaborator), Valentina Cipriani (Collaborator), David Crabb (Collaborator), Philippa Cumberland (Collaborator)Alexander Day (Collaborator), Parul Desai (Collaborator), Bal Dhillon (Collaborator), Andrew Dick (Collaborator), Paul Foster (Collaborator), John Gallacher (Collaborator), David Ted Garway (Collaborator), Srini Goverdhan (Collaborator), Jeremy Guggenheim (Collaborator), Priyal Gupta (Collaborator), Chris Hammond (Collaborator), Ruth Hogg (Collaborator), Anne Hughes (Collaborator), Pearse Keane (Collaborator), Peng Tee Khaw (Collaborator), Anthony Khawaja (Collaborator), Gerassimos Lascaratos (Collaborator), Andrew Lotery (Collaborator), Phil Luthert (Collaborator), Tom MacGillivray (Collaborator), Sarah Mackie (Collaborator), Keith Martin (Collaborator), Michelle McGaughey (Collaborator), Bernadette McGuinness (Collaborator), Gareth McKay (Collaborator), Martin McKibbin (Collaborator), Danny Mitry (Collaborator), Tony Moore (Collaborator), James Morgan (Collaborator), Zaynah Muthy (Collaborator), Eoin O'Sullivan (Collaborator), Chris Owen (Collaborator), Praveen Patel (Collaborator), Tunde Peto (Collaborator), Jugnoo Rahi (Collaborator), Alicja Rudnicka (Collaborator), Carlota Grossi Sampedro (Collaborator), David Steel (Collaborator), Irene Stratton (Collaborator), Nicholas Strouthdis (Collaborator), Cathie Sudlow (Collaborator), Caroline Thaung (Collaborator), Dhanes Thomas (Collaborator), Emanuele Trucco (Collaborator), Adnan Tufail (Collaborator), Stephen Vernon (Collaborator), Ananth Viswanathan (Collaborator), Cathy Williams (Collaborator), Katie Williams (Collaborator), John Yates (Collaborator), Max Yates (Collaborator), Jennifer Yip (Collaborator), Haogang Zhu (Collaborator)

Division of Evolution, Infection and Genomics

Research output: Contribution to journal › Article › peer-review

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

Original language	English
Journal	PLoS ONE
Volume	10
Issue number	5
DOIs	https://doi.org/10.1371/journal.pone.0127914
Publication status	Published - 2015

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MacGillivray, T. J., Cameron, J. R., Zhang, Q., El-Medany, A., Mulholland, C., Sheng, Z., Doubal, F. N., Trucco, E., Aslam, T., Bao, Y., Barman, S., Bishop, P., Blows, P., Bunce, C., Chakravarthy, U., Chan, M., Chianca, A., Cipriani, V., Crabb, D., ... Zhu, H. (2015). Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature. PLoS ONE, 10(5). https://doi.org/10.1371/journal.pone.0127914

@article{e3516c6d1b73467697834babf8278c26,

title = "Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.",

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",

author = "MacGillivray, {Thomas J} and Cameron, {James R} and Qiuli Zhang and Ahmed El-Medany and Carl Mulholland and Ziyan Sheng and Doubal, {Fergus N} and Emmanuel Trucco and Tariq Aslam and Yanchun Bao and Sarah Barman and Paul Bishop and Peter Blows and Catey Bunce and Usha Chakravarthy and Michelle Chan and Antonietta Chianca and Valentina Cipriani and David Crabb and Philippa Cumberland and Alexander Day and Parul Desai and Bal Dhillon and Andrew Dick and Paul Foster and John Gallacher and Garway, {David Ted} and Srini Goverdhan and Jeremy Guggenheim and Priyal Gupta and Chris Hammond and Ruth Hogg and Anne Hughes and Pearse Keane and Khaw, {Peng Tee} and Anthony Khawaja and Gerassimos Lascaratos and Andrew Lotery and Phil Luthert and Tom MacGillivray and Sarah Mackie and Keith Martin and Michelle McGaughey and Bernadette McGuinness and Gareth McKay and Martin McKibbin and Danny Mitry and Tony Moore and James Morgan and Zaynah Muthy and Eoin O'Sullivan and Chris Owen and Praveen Patel and Tunde Peto and Jugnoo Rahi and Alicja Rudnicka and Sampedro, {Carlota Grossi} and David Steel and Irene Stratton and Nicholas Strouthdis and Cathie Sudlow and Caroline Thaung and Dhanes Thomas and Emanuele Trucco and Adnan Tufail and Stephen Vernon and Ananth Viswanathan and Cathy Williams and Katie Williams and John Yates and Max Yates and Jennifer Yip and Haogang Zhu",

year = "2015",

doi = "10.1371/journal.pone.0127914",

language = "English",

volume = "10",

journal = "PLoS ONE",

publisher = "Public Library of Science",

number = "5",

}

MacGillivray, TJ, Cameron, JR, Zhang, Q, El-Medany, A, Mulholland, C, Sheng, Z, Doubal, FN, Trucco, E, Aslam, T, Bao, Y, Barman, S, Bishop, P, Blows, P, Bunce, C, Chakravarthy, U, Chan, M, Chianca, A, Cipriani, V, Crabb, D, Cumberland, P, Day, A, Desai, P, Dhillon, B, Dick, A, Foster, P, Gallacher, J, Garway, DT, Goverdhan, S, Guggenheim, J, Gupta, P, Hammond, C, Hogg, R, Hughes, A, Keane, P, Khaw, PT, Khawaja, A, Lascaratos, G, Lotery, A, Luthert, P, MacGillivray, T, Mackie, S, Martin, K, McGaughey, M, McGuinness, B, McKay, G, McKibbin, M, Mitry, D, Moore, T, Morgan, J, Muthy, Z, O'Sullivan, E, Owen, C, Patel, P, Peto, T, Rahi, J, Rudnicka, A, Sampedro, CG, Steel, D, Stratton, I, Strouthdis, N, Sudlow, C, Thaung, C, Thomas, D, Trucco, E, Tufail, A, Vernon, S, Viswanathan, A, Williams, C, Williams, K, Yates, J, Yates, M, Yip, J & Zhu, H 2015, 'Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.', PLoS ONE, vol. 10, no. 5. https://doi.org/10.1371/journal.pone.0127914

TY - JOUR

T1 - Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

AU - MacGillivray, Thomas J

AU - Cameron, James R

AU - Zhang, Qiuli

AU - El-Medany, Ahmed

AU - Mulholland, Carl

AU - Sheng, Ziyan

AU - Doubal, Fergus N

AU - Trucco, Emmanuel

A2 - Aslam, Tariq

A2 - Bao, Yanchun

A2 - Barman, Sarah

A2 - Bishop, Paul

A2 - Blows, Peter

A2 - Bunce, Catey

A2 - Chakravarthy, Usha

A2 - Chan, Michelle

A2 - Chianca, Antonietta

A2 - Cipriani, Valentina

A2 - Crabb, David

A2 - Cumberland, Philippa

A2 - Day, Alexander

A2 - Desai, Parul

A2 - Dhillon, Bal

A2 - Dick, Andrew

A2 - Foster, Paul

A2 - Gallacher, John

A2 - Garway, David Ted

A2 - Goverdhan, Srini

A2 - Guggenheim, Jeremy

A2 - Gupta, Priyal

A2 - Hammond, Chris

A2 - Hogg, Ruth

A2 - Hughes, Anne

A2 - Keane, Pearse

A2 - Khaw, Peng Tee

A2 - Khawaja, Anthony

A2 - Lascaratos, Gerassimos

A2 - Lotery, Andrew

A2 - Luthert, Phil

A2 - MacGillivray, Tom

A2 - Mackie, Sarah

A2 - Martin, Keith

A2 - McGaughey, Michelle

A2 - McGuinness, Bernadette

A2 - McKay, Gareth

A2 - McKibbin, Martin

A2 - Mitry, Danny

A2 - Moore, Tony

A2 - Morgan, James

A2 - Muthy, Zaynah

A2 - O'Sullivan, Eoin

A2 - Owen, Chris

A2 - Patel, Praveen

A2 - Peto, Tunde

A2 - Rahi, Jugnoo

A2 - Rudnicka, Alicja

A2 - Sampedro, Carlota Grossi

A2 - Steel, David

A2 - Stratton, Irene

A2 - Strouthdis, Nicholas

A2 - Sudlow, Cathie

A2 - Thaung, Caroline

A2 - Thomas, Dhanes

A2 - Trucco, Emanuele

A2 - Tufail, Adnan

A2 - Vernon, Stephen

A2 - Viswanathan, Ananth

A2 - Williams, Cathy

A2 - Williams, Katie

A2 - Yates, John

A2 - Yates, Max

A2 - Yip, Jennifer

A2 - Zhu, Haogang

PY - 2015

Y1 - 2015

N2 - 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

AB - 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

U2 - 10.1371/journal.pone.0127914

DO - 10.1371/journal.pone.0127914

M3 - Article

C2 - 26000792

VL - 10

JO - PLoS ONE

JF - PLoS ONE

IS - 5

ER -

Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

Abstract

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