| Application: | 2112, Automated macular thickness measurements and association with potential risk factors and systemic disease |
| Title: | Associations with Retinal Pigment Epithelium Thickness Measures in a Large Cohort Results from the UK Biobank |
| Size: | 6.3 MB |
| Archived: | 16 Jan 2020 |
| Stability: | Updateable |
| Personal: | Contains individual-level data |
Return 1875
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Notes
Optical coherence tomography (OCT) imaging is a rapid, non-invasive imaging technology which produces 3 dimensional images of the macula (the part of the retina used for central, detailed vision). Abnormalities of macular thickness and morphology on OCT imaging are the hallmark of both diabetic retinopathy (commonest cause of vision loss in working aged individuals in the UK) and age-related macular degeneration (commonest cause of irreversible vision loss in the elderly). OCT imaging can also provide information about the thickness of the macular nerve fibre layer, which may be thinned in glaucoma (commonest cause of irreversible vision loss worldwide) and in neurodegenerative diseases. We analysed UK Biobank OCT images collected from over 60,000 people to derive variables describing the thickness of the retinal pigment epithelium (RPE), a layer of cells which lies below and which supports the function of light-detecting photoreceptor cells. After excluding poor quality images and images from people with known eye or other disease which could affect RPE thickness, we reported normal RPE thickness values in 34,464 people. We found that the mean RPE thickness in the central 1 mm of the macula was 26.3 microns. Central macular thickness was correlated with age, short-sight (myopia), ethnicity, smoking and intraocular pressure. This work contributes towards a better understanding of RPE thickness and how different ocular and systemic factors influence RPE thickness.Application 2112
Automated macular thickness measurements and association with potential risk factors and systemic disease
Optical coherence tomography imaging (OCT) rapidly produces 3 dimensional images of the macula (the sensitive part of the retina used for central vision). Abnormalities of macular thickness and structure on OCT imaging are the hallmark of both diabetic retinopathy (commonest cause of vision loss in working aged individuals in the UK) and age-related macular degeneration (commonest cause of vision loss in the elderly). OCT imaging can also provide information about the thickness of the macular nerve fibre layer, which may be thinned in glaucoma (commonest cause of irreversible vision loss worldwide) and in neurodegenerative diseases. Our proposed analysis falls into 3 components: (1) use high speed computer algorithms to generate automated macular thickness measurements from OCT images captured from the 78,880 UKBiobank participants who underwent OCT imaging; (2) subject 5% of the analysed images and images which failed automated analysis to a manual grading process (3) use automated approaches to determine retinal sublayer thicknesses. We are requesting access to OCT images and data on lifestyle and medical history. This will allow us to report the distribution of macular thickness across the sampled Biobank population and enable us to gain a clearer understanding of factors that influence macular thickness in health and disease. The proposed analysis is well aligned with UK biobank objectives as deriving macular thickness measurements from the stored OCT data could help improve the diagnosis and treatment of a wide-range of serious and life-threatening diseases including eye diseases (age-related macular degeneration and glaucoma) and systemic disease (diabetes and neurodegenerative diseases).
| Lead investigator: | Mr Praveen Patel |
| Lead institution: | Moorfields Eye Hospital NHS Foundation Trust |
1 related Return
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 1873 | 2112 | Spectral-Domain Optical Coherence Tomography Imaging in 67 321 Adults: Associations with Macular Thickness in the UK Biobank Study | 16 Jan 2020 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 1876 | Associations with Retinal Pigment Epithelium Thickness Measures in a Large Cohort Results from the UK Biobank | Fang Ko (+13) | 2016 | Ophthalmology |
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