Diagnostic ability of ganglion cell complex thickness to detect glaucoma in high myopia eyes by Fourier domain optical coherence tomography
Author:
Corresponding Author:

Huai-Zhou Wang. Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiao Minxiang, Dongcheng District, Beijing 100730, China. trhz_wang@163.com

Affiliation:

Clc Number:

Fund Project:

Supported by the National Natural Science Foundation of China (No.81500719).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    AIM: To evaluate the ability of macular ganglion cell complex (GCC) thickness using Fourier domain optical coherence tomography (FD-OCT) to detect glaucoma in highly myopic eyes. METHODS: Cross-sectional study. A total of 114 participants, consecutively were enrolled. Macular GCC thickness and peripapillary retinal nerve fiber layer (RNFL) thickness were obtained with RTVue FD-OCT. Receiver operating characteristics curves were constructed for each measurement parameter, and areas under the curves (AUCs) were compared. RESULTS: Both the average GCC and average RNFL thickness showed negative correlations with axial length (rGCC=-0.404, P=0.001; rRNFL=-0.561, P<0.001). The largest AUCs from GCC, and RNFL parameters were 0.968 [global loss volume (GLV)], and 0.855 (average RNFL), respectively. GLV was significantly better for detecting high myopic glaucoma than average RNFL (P<0.001). CONCLUSION: Macular GCC thickness has higher diagnostic power than peripapillary RNFL thickness to discriminate glaucoma patients from non-glaucoma subjects in high myopia.

    Reference
    Related
    Cited by
Get Citation

Wei-Wei Wang, Huai-Zhou Wang, Jian-Rong Liu, et al. Diagnostic ability of ganglion cell complex thickness to detect glaucoma in high myopia eyes by Fourier domain optical coherence tomography. Int J Ophthalmol, 2018,11(5):791-796

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
Publication History
  • Received:January 17,2018
  • Revised:April 16,2018
  • Adopted:
  • Online: May 11,2018
  • Published: