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Spectral-domain optical coherence tomography imaging in 67 321 adults: associations with macular thickness in the UK Biobank Study

Spectral-domain optical coherence tomography imaging in 67 321 adults: associations with macular thickness in the UK Biobank Study
Spectral-domain optical coherence tomography imaging in 67 321 adults: associations with macular thickness in the UK Biobank Study
Purpose: To derive macular thickness measures and their associations by performing rapid, automated segmentation of spectral-domain optical coherence tomography (SD OCT) images collected and stored as part of the UK Biobank (UKBB) study.

Design: Large, multisite cohort study in the United Kingdom. Analysis of cross-sectional data.

Participants: Adults from the United Kingdom aged 40 to 69 years.

Methods: Participants had nonmydriatic SD OCT (Topcon 3D OCT-1000 Mark II; Topcon GB, Newberry, Berkshire, UK) performed as part of the ocular assessment module. Rapid, remote, automated segmentation of the images was performed using custom optical coherence tomography (OCT) image analysis software (Topcon Advanced Boundary Segmentation [TABS]; Topcon GB) to generate macular thickness values. We excluded people with a history of ocular or systemic disease (diabetes or neurodegenerative diseases) and eyes with reduced vision (<0.1 logarithm of the minimum angle of resolution) or with low SD OCT signal-to-noise ratio and low segmentation success certainty.

Main Outcome Measures: Macular thickness values across 9 Early Treatment of Diabetic Retinopathy Study (ETDRS) subfields.

Results: The SD OCT scans of 67 321 subjects were available for analysis, with 32 062 people with at least 1 eye meeting the inclusion criteria. There were 17 274 women and 14 788 men, with a mean (standard deviation [SD]) age of 55.2 (8.2) years. The mean (SD) logarithm of the minimum angle of resolution visual acuity was ?0.075 (0.087), and the refractive error was ?0.071 (+1.91) diopters (D). The mean (SD) central macular thickness (CMT) in the central 1-mm ETDRS subfield was 264.5 (22.9) ?m, with 95% confidence limits of 220.8 and 311.5 ?m. After adjusting for covariates, CMT was positively correlated with older age, female gender, greater myopia, smoking, body mass index (BMI), and white ethnicity (all P < 0.001). Of note, macular thickness in other subfields was negatively correlated with older age and greater myopia.

Conclusions: We report macular thickness data derived from SD OCT images collected as part of the UKBB study and found novel associations among older age, ethnicity, BMI, smoking, and macular thickness.
829-840
Patel, P.J.
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Foster, P.J.
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Grossi, C.M.
72470e79-faee-4ddf-a780-8079585f7796
Keane, P.A.
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Ko, F.
6bfa5ee4-f284-47c2-a8d2-c567547d6104
Lotery, A.
5ecc2d2d-d0b4-468f-ad2c-df7156f8e514
Peto, T.
369ad5c4-56cb-4764-99d6-db3c255f0007
Reisman, C.A.
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Strouthidis, N.G.
fa72b820-b9fe-4814-ba8c-7244e9b0c630
Yang, Q.
af957345-3af4-442b-a6d9-c032b63bb377
Patel, P.J.
e1301a3e-570d-4cdf-9419-2c7d38d48ece
Foster, P.J.
64ee59c5-9d91-4a8d-beb1-47c52eecc2ce
Grossi, C.M.
72470e79-faee-4ddf-a780-8079585f7796
Keane, P.A.
4ba60b3a-b242-40e4-aebf-57dd7378e4a8
Ko, F.
6bfa5ee4-f284-47c2-a8d2-c567547d6104
Lotery, A.
5ecc2d2d-d0b4-468f-ad2c-df7156f8e514
Peto, T.
369ad5c4-56cb-4764-99d6-db3c255f0007
Reisman, C.A.
fdb6e031-d8e9-40e2-8c90-0e33bd0fd7fb
Strouthidis, N.G.
fa72b820-b9fe-4814-ba8c-7244e9b0c630
Yang, Q.
af957345-3af4-442b-a6d9-c032b63bb377

Patel, P.J., Foster, P.J., Grossi, C.M., Keane, P.A., Ko, F., Lotery, A., Peto, T., Reisman, C.A., Strouthidis, N.G. and Yang, Q. (2016) Spectral-domain optical coherence tomography imaging in 67 321 adults: associations with macular thickness in the UK Biobank Study. Ophthalmology, 123 (4), 829-840. (doi:10.1016/j.ophtha.2015.11.009). (PMID:26746598)

Record type: Article

Abstract

Purpose: To derive macular thickness measures and their associations by performing rapid, automated segmentation of spectral-domain optical coherence tomography (SD OCT) images collected and stored as part of the UK Biobank (UKBB) study.

Design: Large, multisite cohort study in the United Kingdom. Analysis of cross-sectional data.

Participants: Adults from the United Kingdom aged 40 to 69 years.

Methods: Participants had nonmydriatic SD OCT (Topcon 3D OCT-1000 Mark II; Topcon GB, Newberry, Berkshire, UK) performed as part of the ocular assessment module. Rapid, remote, automated segmentation of the images was performed using custom optical coherence tomography (OCT) image analysis software (Topcon Advanced Boundary Segmentation [TABS]; Topcon GB) to generate macular thickness values. We excluded people with a history of ocular or systemic disease (diabetes or neurodegenerative diseases) and eyes with reduced vision (<0.1 logarithm of the minimum angle of resolution) or with low SD OCT signal-to-noise ratio and low segmentation success certainty.

Main Outcome Measures: Macular thickness values across 9 Early Treatment of Diabetic Retinopathy Study (ETDRS) subfields.

Results: The SD OCT scans of 67 321 subjects were available for analysis, with 32 062 people with at least 1 eye meeting the inclusion criteria. There were 17 274 women and 14 788 men, with a mean (standard deviation [SD]) age of 55.2 (8.2) years. The mean (SD) logarithm of the minimum angle of resolution visual acuity was ?0.075 (0.087), and the refractive error was ?0.071 (+1.91) diopters (D). The mean (SD) central macular thickness (CMT) in the central 1-mm ETDRS subfield was 264.5 (22.9) ?m, with 95% confidence limits of 220.8 and 311.5 ?m. After adjusting for covariates, CMT was positively correlated with older age, female gender, greater myopia, smoking, body mass index (BMI), and white ethnicity (all P < 0.001). Of note, macular thickness in other subfields was negatively correlated with older age and greater myopia.

Conclusions: We report macular thickness data derived from SD OCT images collected as part of the UKBB study and found novel associations among older age, ethnicity, BMI, smoking, and macular thickness.

Full text not available from this repository.

More information

Accepted/In Press date: 9 November 2015
e-pub ahead of print date: 30 December 2015
Published date: April 2016
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 390368
URI: https://eprints.soton.ac.uk/id/eprint/390368
PURE UUID: ad7998bb-b010-48b5-a743-760c70d50d94
ORCID for A. Lotery: ORCID iD orcid.org/0000-0001-5541-4305

Catalogue record

Date deposited: 24 Mar 2016 16:29
Last modified: 10 Dec 2019 01:46

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