Multiparametric quantitative MRI for the evaluation of dysthyroid optic neuropathy

Author(s):  
Mengsha Zou ◽  
Dide Wu ◽  
Hongzhang Zhu ◽  
Xiahua Huang ◽  
Xiaojuan Zhao ◽  
...  
2021 ◽  
pp. 112067212110620
Author(s):  
Lihua Luo ◽  
Dongmei Li ◽  
Lixin Gao ◽  
Wei Wang

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.


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

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 ◽  
...  

Author(s):  
Peerooz Saeed ◽  
Shahzad Tavakoli Rad ◽  
Peter H. L. T. Bisschop

Eye ◽  
2020 ◽  
Author(s):  
Xin Qi ◽  
Boding Tong ◽  
Weikun Hu ◽  
Ban Luo

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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