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Retinal nerve fiber layer thickness in children with primary congenital glaucoma measured by spectral domain optical coherence tomography

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Perucho González, Lucía and Martínez de la Casa, Jose Maria and Sáenz Francés, Federico and Morales Fernández, Laura and Méndez Hernández, Carmen Dora and Sánchez Jean, Rubén and García Feijoo, Julián (2019) Retinal nerve fiber layer thickness in children with primary congenital glaucoma measured by spectral domain optical coherence tomography. Journal of American Association for Pediatric Ophthalmology and Strabismus . 4 p.. ISSN 1091-8531 (In Press)

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Official URL: https://doi.org/10.1016/j.jaapos.2017.03.023




Abstract

Purpose: To evaluate retinal nerve fiber layer (RNFL) thickness using spectral domain optical coherence tomography (SD-OCT) in a population of children diagnosed with primary congenital glaucoma (PCG).
Methods: In this cross-sectional study, 59 eyes of 59 children diagnosed with PCG and 87 eyes of 87 healthy children were evaluated by SD-OCT to measure the RNFL. The global average peripapillary RNFL thickness and sectional RNFL thickness were evaluated in both groups. Differences in global average and sectional thickness were analyzed.
Results: Mean age in the PCG group was 9.61 ± 3.23 years; in the control group, 8.47 ± 2.99 years (P = 0.0516). There were statistically significant differences (P < 0.007) in all sectors between both groups.
Conclusions: SD-OCT is a promising tool for evaluating the eyes of children diagnosed with PCG. Future research should examine the test–retest variability of SD-OCT parameters and their ability to diagnose progression in these children.


Item Type:Article
Additional Information:

Received 17 August 2016, Accepted 3 March 2017, Available online 2 April 2019.

Uncontrolled Keywords:Retinal nerve fiber; Layer thcikness; Children; pediatric ophthalmology; Glaucoma; Primary congenital glaucoma; Optical coherence tomography
Subjects:Medical sciences > Medicine > Ophtalmology
Medical sciences > Optics > Eyes anatomy
Medical sciences > Optics > Imaging systems
ID Code:55735
Deposited On:14 Jun 2019 07:36
Last Modified:14 Jun 2019 07:36

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