scholarly journals Introductory Chapter: The Dysthyroid Optic Neuropathy

Optic Nerve ◽  
2019 ◽  
Author(s):  
Felicia M. Ferreri ◽  
Giuseppina Ferreri
Keyword(s):  
Optic Neuropathy ◽  
Dysthyroid Optic Neuropathy

Retinal nerve fiber layer and ganglion cell complex thickness as a diagnostic tool in early stage dysthyroid optic neuropathy

2021 ◽  
pp. 112067212110620
Author(s):  
Lihua Luo ◽  
Dongmei Li ◽  
Lixin Gao ◽  
Wei Wang
Keyword(s):  
Ganglion Cell ◽  
Nerve Fiber ◽  
Layer Thickness ◽  
Optic Neuropathy ◽  
Cell Complex ◽  
Ganglion Cell Complex ◽  
Fiber Layer ◽  
Dysthyroid Optic Neuropathy ◽  
Nerve Fiber Layer ◽  
Nerve Fiber Layer Thickness

Purpose To compare the diagnostic accuracy of peripapillary retinal nerve fiber layer with macular ganglion cell complex thickness as an auxiliary tool for the early diagnosis of dysthyroid optic neuropathy and help assess the effectiveness of the treatment. Methods In this retrospective case–control study, a total of 58 thyroid-associated opthalmopathy patients and 58 healthy participants were enrolled in the study. Thyroid-associated opthalmopathy patients were divided according to the European Group Graves’ Orbitopathy severity classification. The thicknesses of peripapillary nerve fiber layer and macular ganglion cell complex were measured using optical coherence tomography and their correlation with the severity of the disease as well as the effect of the treatment was investigated. Results No statistically significant differences were found between the mild thyroid-associated opthalmopathy group and the control group in both peripapillary nerve fiber layer and macular ganglion cell complex thickness. In the moderate-to-severe thyroid-associated opthalmopathy group, however, Temporal and Nasal peripapillary nerve fiber layer thicknesses were lower compared to the control group ( p = 0.041, p = 0.012), whereas in the sight-threatening thyroid-associated opthalmopathy group Temporal Inferior, Nasal Superior, and mean (G) peripapillary nerve fiber layer thicknesses were larger ( p = 0.000, p = 0.004, p = 0.000). No significant differences were observed in the macular ganglion cell complex thickness among the different severity groups and the control groups ( p > 0.05). After treatment, the mean peripapillary nerve fiber layer thickness decreased whereas mean macular ganglion cell complex thickness showed no significant change in the sight-threatening group. A correlation was established between exophthalmos, best corrected visual acuity, clinical activity score, disease course, and the mean peripapillary nerve fiber layer thickness. The area under curve analysis indicated that mean peripapillary nerve fiber layer thickness can be used as a powerful diagnostic tool in early stage dysthyroid optic neuropathy in thyroid-associated opthalmopathy patients. Conclusion Our study indicates that peripapillary nerve fiber layer act as an auxiliary tool for the early diagnosis of dysthyroid optic neuropathy and helps assess the effectiveness of the treatment.

scholarly journals Evaluation of medical and surgical decompression in patients with dysthyroid optic neuropathy

Eye ◽  
2020 ◽  
Vol 34 (9) ◽  
pp. 1702-1709 ◽  
Author(s):  
Aylin Garip Kuebler ◽  
Caroline Wiecha ◽  
Lukas Reznicek ◽  
Annemarie Klingenstein ◽  
Kathrin Halfter ◽  
...  
Keyword(s):  
Optic Neuropathy ◽  
Surgical Decompression ◽  
Dysthyroid Optic Neuropathy

scholarly journals Diagnostic ability of barrett's index to detect dysthyroid optic neuropathy using multidetector computed tomography

Clinics ◽  
2008 ◽  
Vol 63 (3) ◽  
pp. 301-306 ◽  
Author(s):  
Mário L. R. Monteiro ◽  
Allan C. P. Gonçalves ◽  
Carla T. M. Silva ◽  
Janete P. Moura ◽  
Carolina S. Ribeiro ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Multidetector Computed Tomography ◽  
Optic Neuropathy ◽  
Diagnostic Ability ◽  
Dysthyroid Optic Neuropathy

Dysthyroid Optic Neuropathy

2018 ◽  
pp. 1 ◽  
Author(s):  
Peerooz Saeed ◽  
Shahzad Tavakoli Rad ◽  
Peter H. L. T. Bisschop
Keyword(s):  
Optic Neuropathy ◽  
Dysthyroid Optic Neuropathy

scholarly journals Comparing isolated-check visual evoked potential, pattern visual evoked potential, and standard automated perimetry in dysthyroid optic neuropathy eyes

Eye ◽  
2020 ◽  
Author(s):  
Xin Qi ◽  
Boding Tong ◽  
Weikun Hu ◽  
Ban Luo
Keyword(s):  
Optic Neuropathy ◽  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Mean Deviation ◽  
Automated Perimetry ◽  
Standard Automated Perimetry ◽  
Dysthyroid Optic Neuropathy ◽  
Pattern Visual Evoked Potential ◽  
Diagnostic Capabilities ◽  
Visual Evoked

Abstract Objective To determine the diagnostic ability of isolated-check visual evoked potential (icVEP), pattern visual evoked potential (pVEP), and standard automated perimetry (SAP) between dysthyroid optic neuropathy (DON) and thyroid-associated ophthalmopathy (TAO) without DON (non-DON). Methods This is a case-control study, 49 bilateral patients (26 DON and 23 non-DON) were included. icVEP, pVEP, and SAP were conducted in all the subjects, icVEP parameters compared were signal-to-noise ratios (SNRs) under 8, 16, and 32% depth of modulation (DOM). pVEP parameters compared were amplitude and latency. SAP parameters were mean deviation (MD) and pattern standard deviation (PSD). The area under the receiver operating characteristic (ROC) curve (AUC), net reclassification index (NRI), integrated discrimination index (IDI), and decision curve analysis (DCA) were applied for analysis. Results In icVEP, values of SNR in DON were significantly smaller than non-DON (p < 0.05). In pVEP, P100 latent time in DON was significantly larger than non-DON (p = 0.0026). In SAP, value of PSD in DON was larger than non-DON (p = 0.0006), and value of MD in DON was smaller (p = 0.0007). AUC, NRI, and IDI among the three tests were not significantly different. DCA showed that SNR of icVEP under 8% DOM was the farthest from the two extreme curves. Conclusions icVEP, pVEP, and SAP have equal diagnostic capabilities to discern between DON and non-DON. In addition, icVEP may represent a significant ancillary diagnostic approach to DON detection, with more clinical benefit.

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