June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Macular Ganglion Cell-Inner Plexiform Layer and Ganglion Cell Complex Thickness in 3000 Normal Chinese Children Aged 6-18 Years Old Using Swept-Source Opitcal Coherence Tomography
Author Affiliations & Notes
  • Mingjin Wang
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Lu Cheng
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Xiangui He
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Minzhi Lv
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Junjie Deng
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Jianfeng Zhu
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Haidong Zou
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Xun Xu
    Shanghai Eye Disease Prevention and Treatment Center, Shanghai, Shanghai, China
  • Footnotes
    Commercial Relationships   Mingjin Wang, None; Lu Cheng, None; Xiangui He, None; Minzhi Lv, None; Junjie Deng, None; Jianfeng Zhu, None; Haidong Zou, None; Xun Xu, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 2587. doi:
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      Mingjin Wang, Lu Cheng, Xiangui He, Minzhi Lv, Junjie Deng, Jianfeng Zhu, Haidong Zou, Xun Xu; Macular Ganglion Cell-Inner Plexiform Layer and Ganglion Cell Complex Thickness in 3000 Normal Chinese Children Aged 6-18 Years Old Using Swept-Source Opitcal Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2017;58(8):2587.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To investigate the normative value and distribution of macular ganglion cell-inner plexiform layer (GCIPL) and ganglion cell complex (GCC) thicknesses in normal Chinese school-aged children by swept-source longer-wavelength optical coherence tomography (SS-OCT), and to explore the associated factors with GCIPL and GCC thicknesses.

Methods : This was an observational cross-sectional study recruiting 3000 normal Chinese children aged 6 to 18 years old. Systemic parameters including age, gender, weight, height, and body mass index (BMI) were recorded. Comprehensive ophthalmic examinations, including axial length (AL), refractive error, intraocular pressure (IOP) and SS-OCT measurements were performed. Main outcome measures included macular GCIPL and GCC thicknesses, and their topographic variation in foveal (1-mm diameter area), parafoveal (1- to 3-mm diameter area), and perifoveal (3- to 6-mm diameter area) in the superior, temporal, inferior, and nasal field; minimum, maximum, 5%-95% interval, mean and standard deviation were recorded. The correlations between GCIPL/GCC thicknesses and age, gender, BMI, AL, refractive error, and IOP were analyzed as well. Right eyes of all subjects were selected for analysis.

Results : The mean age of the Children was 11.67 ± 3.44 years (male=1553, female=1447). The average thickness of GCIPL was 77.00±4.78 um (range: 42.33-97.44 um; 5%-95% interval: 69.56-84.56 um) and that of GCC was 107.68±5.95 um (range: 64-129.89 um; 5%-95% interval: 98.45-117.21 um). A thicker GCIPL was associated with male gender (standard coefficient=0.168, p<0.001), older age (standard coefficient=0.126, p<0.001), AL (standard coefficient=-0.181, p<0.001) and refraction error (standard coefficient=0.233, p<0.001), but not with BMI or IOP in the multiple regression model (R2=0.13). Meanwhile, age (standard coefficient=0.154, p<0.001), gender (standard coefficient=0.102, p<0.001) and refraction error (standard coefficient=0.149, p<0.001) were associated independently with GCC thickness (R2=0.12) after adjusted for other systematic and ocular factors.

Conclusions : Using SS-OCT, normative macular GCIPL and GCC thicknesses in healthy children below 18 years were established. Age, gender, and refraction error were related to both GCIPL and GCC thicknesses.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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