June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Macular Ganglion Cell Imaging Study: Glaucoma Diagnostic Accuracy of Spectral-Domain Optical Coherence Tomography
Author Affiliations & Notes
  • Jin Wook Jeoung
    Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
  • Yun Jeong Choi
    Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
  • Seok Hwan Kim
    Department of Ophthalmology, Seoul National University Boramae Hospital, Seoul, Republic of Korea
  • Ki Ho Park
    Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
  • Dong Myung Kim
    Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
  • Footnotes
    Commercial Relationships Jin Wook Jeoung, None; Yun Jeong Choi, None; Seok Hwan Kim, None; Ki Ho Park, None; Dong Myung Kim, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 2288. doi:
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      Jin Wook Jeoung, Yun Jeong Choi, Seok Hwan Kim, Ki Ho Park, Dong Myung Kim; Macular Ganglion Cell Imaging Study: Glaucoma Diagnostic Accuracy of Spectral-Domain Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2013;54(15):2288.

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

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Abstract

Purpose: To evaluate the diagnostic accuracy of macular ganglion cell-inner plexiform layer (GCIPL) measurements using high-definition optical coherence tomography (Cirrus HD-OCT) ganglion cell analysis algorithm for detecting early, moderate and severe glaucoma.

Methods: One hundred and twenty normal subjects and 215 glaucoma patients (128 patients with early glaucoma, 50 with moderate glaucoma, and 37 with severe glaucoma) were enrolled from the Macular Ganglion Cell Imaging Study. Macular GCIPL, peripapillary retinal nerve fiber layer (RNFL) thickness, and optic nerve head (ONH) parameters were measured in each subject. Areas under the receiver operating characteristic curves (AUROCs) were calculated and compared. Based on the internal normative database, the sensitivity and specificity for detecting early, moderate, and severe glaucoma were calculated.

Results: There was no statistically significant difference between the AUROCs for the best OCT parameters. For detecting early glaucoma, the sensitivity of the Cirrus GCIPL parameters ranged from 28.1% to 75.2% and that of the Cirrus RNFL parameters ranged from 6.3% to 57.0%. For the early glaucoma group, the best parameter from the GCIPL generally had a higher sensitivity than those of the RNFL and ONH parameters with comparable specificity (P<0.01, McNemar's test).

Conclusions: There were no significant differences between the AUROCs for Cirrus GCIPL, RNFL and ONH parameters, indicating that these maps have similar diagnostic potentials for glaucoma. For detecting early glaucoma, the macular GCIPL parameters had generally higher sensitivities than the OCT RNFL parameters with comparable specificities.

Keywords: 550 imaging/image analysis: clinical • 627 optic disc • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
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