Literature DB >> 30576683

Temporal Raphe Sign for Discrimination of Glaucoma from Optic Neuropathy in Eyes with Macular Ganglion Cell-Inner Plexiform Layer Thinning.

Jinho Lee1, Young Kook Kim2, Ahnul Ha1, Yong Woo Kim1, Sung Uk Baek1, Jin-Soo Kim1, Haeng Jin Lee3, Dai Woo Kim4, Jin Wook Jeoung1, Seong-Joon Kim3, Ki Ho Park1.   

Abstract

PURPOSE: To evaluate the potential of the temporal raphe sign on the macular ganglion cell-inner plexiform layer (mGCIPL) thickness map for discriminating glaucomatous from nonglaucomatous optic neuropathy (NGON) in eyes with mGCIPL thinning.
DESIGN: Cross-sectional study. PARTICIPANTS: A total of 175 eyes of 175 patients with mGCIPL thinning on Cirrus (Carl Zeiss Meditec, Dublin, CA) high-definition OCT were retrospectively included. Glaucoma specialists and neuro-ophthalmology specialists evaluated the patients' medical records for diagnosis of glaucomatous optic neuropathy (GON) or NGON. Finally, by consensus, 67 eyes with GON and 73 eyes with NGON were enrolled.
METHODS: A positive temporal raphe sign was declared in patients in whom there was a straight line longer than one-half of the length between the inner and outer annulus in the temporal elliptical area of the mGCIPL thickness map. Decision tree analysis was performed to formulate a diagnostic model. MAIN OUTCOME MEASURES: Area under receiver operating characteristic curve (AUC) with sensitivity and specificity.
RESULTS: The temporal raphe sign was observed in 61 of 67 GON eyes (91.0%), but in only 21 of 73 NGON eyes (28.8%) (P < 0.001; chi-square test). On this basis, the diagnostic ability of the temporal raphe sign for discriminating GON from NGON was judged to be good (AUC, 0.811; 95% confidence interval, 0.749-0.874; sensitivity, 91.0%; specificity, 71.2%). The diagnostic performance of the decision tree-based model (AUC 0.879; 95% confidence interval, 0.824-0.933; sensitivity, 88.1%; specificity, 87.7%) was better than that of the temporal raphe sign or the relative afferent pupillary defect (RAPD) alone (P = 0.005, P < 0.001, respectively; DeLong's test). The decision tree model revealed the following: (1) If the temporal raphe sign is positive and the RAPD is absent, the case should be diagnosed as GON; (2) if the temporal raphe sign is absent regardless of the presence or absence of the RAPD, or both the temporal raphe sign and the RAPD are present, the case should be diagnosed as NGON.
CONCLUSIONS: In clinical practice, determining whether the temporal raphe sign appears on OCT macular scans can be a useful tool for discrimination of glaucomatous from nonglaucomatous mGCIPL thinning.
Copyright © 2018 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2018        PMID: 30576683     DOI: 10.1016/j.ophtha.2018.12.031

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  7 in total

1.  Age-related focal thinning of the ganglion cell-inner plexiform layer in a healthy population.

Authors:  Yuqing Deng; Huijuan Wang; Ava-Gaye Simms; Huiling Hu; Juan Zhang; Giovana Rosa Gameiro; Tatjana Rundek; Joseph F Signorile; Bonnie E Levin; Jin Yuan; Jianhua Wang; Hong Jiang
Journal:  Quant Imaging Med Surg       Date:  2022-06

2.  Macular Optical Coherence Tomography Imaging in Glaucoma.

Authors:  Alireza Kamalipour; Sasan Moghimi
Journal:  J Ophthalmic Vis Res       Date:  2021-07-29

3.  Focal alteration of the intraretinal layers in neurodegenerative disorders.

Authors:  Shriya Airen; Ce Shi; Zhiping Liu; Bonnie E Levin; Joseph F Signorile; Jianhua Wang; Hong Jiang
Journal:  Ann Eye Sci       Date:  2020-03

Review 4.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

5.  Focal Thickness Reduction of the Ganglion Cell-Inner Plexiform Layer Best Discriminates Prior Optic Neuritis in Patients With Multiple Sclerosis.

Authors:  Huiling Hu; Hong Jiang; Giovana Rosa Gameiro; Jeffrey Hernandez; Silvia Delgado; Jianhua Wang
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-10-01       Impact factor: 4.799

6.  Multivariate Longitudinal Modeling of Macular Ganglion Cell Complex: Spatiotemporal Correlations and Patterns of Longitudinal Change.

Authors:  Vahid Mohammadzadeh; Erica Su; Lynn Shi; Anne L Coleman; Simon K Law; Joseph Caprioli; Robert E Weiss; Kouros Nouri-Mahdavi
Journal:  Ophthalmol Sci       Date:  2022-06-16

7.  Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Authors:  Jinho Lee; Young Kook Kim; Ahnul Ha; Sukkyu Sun; Yong Woo Kim; Jin-Soo Kim; Jin Wook Jeoung; Ki Ho Park
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

  7 in total

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