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Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders
BACKGROUND/AIMS: To compensate the retinal nerve fibre layer (RNFL) thickness assessed by spectral-domain optical coherence tomography (SD-OCT) for anatomical confounders. METHODS: The Singapore Epidemiology of Eye Diseases is a population-based study, where 2698 eyes (1076 Chinese, 704 Malays and 9...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025730/ https://www.ncbi.nlm.nih.gov/pubmed/31118184 http://dx.doi.org/10.1136/bjophthalmol-2019-314086 |
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author | Chua, Jacqueline Schwarzhans, Florian Nguyen, Duc Quang Tham, Yih Chung Sia, Josh Tjunrong Lim, Claire Mathijia, Shivani Cheung, Carol Tin, Aung Fischer, Georg Cheng, Ching-Yu Vass, Clemens Schmetterer, Leopold |
author_facet | Chua, Jacqueline Schwarzhans, Florian Nguyen, Duc Quang Tham, Yih Chung Sia, Josh Tjunrong Lim, Claire Mathijia, Shivani Cheung, Carol Tin, Aung Fischer, Georg Cheng, Ching-Yu Vass, Clemens Schmetterer, Leopold |
author_sort | Chua, Jacqueline |
collection | PubMed |
description | BACKGROUND/AIMS: To compensate the retinal nerve fibre layer (RNFL) thickness assessed by spectral-domain optical coherence tomography (SD-OCT) for anatomical confounders. METHODS: The Singapore Epidemiology of Eye Diseases is a population-based study, where 2698 eyes (1076 Chinese, 704 Malays and 918 Indians) with high-quality SD-OCT images from individuals without eye diseases were identified. Optic disc and macular cube scans were registered to determine the distance between fovea and optic disc centres (fovea distance) and their respective angle (fovea angle). Retinal vessels were segmented in the projection images and used to calculate the circumpapillary retinal vessel density profile. Compensated RNFL thickness was generated based on optic disc (ratio, orientation and area), fovea (distance and angle), retinal vessel density, refractive error and age. Linear regression models were used to investigate the effects of clinical factors on RNFL thickness. RESULTS: Retinal vessel density reduced significantly with increasing age (1487±214 µm in 40–49, 1458±208 µm in 50–59, 1429±223 µm in 60–69 and 1415±233 µm in ≥70). Compensation reduced the variability of RNFL thickness, where the effect was greatest for Chinese (10.9%; p<0.001), followed by Malays (6.6%; p=0.075) and then Indians (4.3%; p=0.192). Compensation reduced the age-related RNFL decline by 55% in all participants (β=−3.32 µm vs β=−1.50 µm/10 years; p<0.001). Nearly 62% of the individuals who were initially classified as having abnormally thin RNFL (outside the 99% normal limits) were later reclassified as having normal RNFL. CONCLUSIONS: RNFL thickness compensated for anatomical parameters reduced the variability of measurements and may improve glaucoma detection, which needs to be confirmed in future studies. |
format | Online Article Text |
id | pubmed-7025730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70257302020-02-28 Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders Chua, Jacqueline Schwarzhans, Florian Nguyen, Duc Quang Tham, Yih Chung Sia, Josh Tjunrong Lim, Claire Mathijia, Shivani Cheung, Carol Tin, Aung Fischer, Georg Cheng, Ching-Yu Vass, Clemens Schmetterer, Leopold Br J Ophthalmol Clinical Science BACKGROUND/AIMS: To compensate the retinal nerve fibre layer (RNFL) thickness assessed by spectral-domain optical coherence tomography (SD-OCT) for anatomical confounders. METHODS: The Singapore Epidemiology of Eye Diseases is a population-based study, where 2698 eyes (1076 Chinese, 704 Malays and 918 Indians) with high-quality SD-OCT images from individuals without eye diseases were identified. Optic disc and macular cube scans were registered to determine the distance between fovea and optic disc centres (fovea distance) and their respective angle (fovea angle). Retinal vessels were segmented in the projection images and used to calculate the circumpapillary retinal vessel density profile. Compensated RNFL thickness was generated based on optic disc (ratio, orientation and area), fovea (distance and angle), retinal vessel density, refractive error and age. Linear regression models were used to investigate the effects of clinical factors on RNFL thickness. RESULTS: Retinal vessel density reduced significantly with increasing age (1487±214 µm in 40–49, 1458±208 µm in 50–59, 1429±223 µm in 60–69 and 1415±233 µm in ≥70). Compensation reduced the variability of RNFL thickness, where the effect was greatest for Chinese (10.9%; p<0.001), followed by Malays (6.6%; p=0.075) and then Indians (4.3%; p=0.192). Compensation reduced the age-related RNFL decline by 55% in all participants (β=−3.32 µm vs β=−1.50 µm/10 years; p<0.001). Nearly 62% of the individuals who were initially classified as having abnormally thin RNFL (outside the 99% normal limits) were later reclassified as having normal RNFL. CONCLUSIONS: RNFL thickness compensated for anatomical parameters reduced the variability of measurements and may improve glaucoma detection, which needs to be confirmed in future studies. BMJ Publishing Group 2020-02 2019-05-22 /pmc/articles/PMC7025730/ /pubmed/31118184 http://dx.doi.org/10.1136/bjophthalmol-2019-314086 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Clinical Science Chua, Jacqueline Schwarzhans, Florian Nguyen, Duc Quang Tham, Yih Chung Sia, Josh Tjunrong Lim, Claire Mathijia, Shivani Cheung, Carol Tin, Aung Fischer, Georg Cheng, Ching-Yu Vass, Clemens Schmetterer, Leopold Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title | Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title_full | Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title_fullStr | Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title_full_unstemmed | Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title_short | Compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
title_sort | compensation of retinal nerve fibre layer thickness as assessed using optical coherence tomography based on anatomical confounders |
topic | Clinical Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025730/ https://www.ncbi.nlm.nih.gov/pubmed/31118184 http://dx.doi.org/10.1136/bjophthalmol-2019-314086 |
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