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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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.
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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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