Outcomes of Patients With Dysthyroid Optic Neuropathy Treated With Intravenous Corticosteroids and/or Orbital Decompression Surgery: A Systematic Review and Meta-analysis.

CONTEXT: The level of evidence is low for the treatment of patients with dysthyroid optic neuropathy (DON) and there is no consensus on the treatment of DON with intravenous high-dose glucocorticoids (ivGC) or direct surgical decompression. OBJECTIVE: To compare the efficacy of glucocorticoid treatment and orbital decompression (OD) in DON. DATA SOURCES: PubMed, EMBASE, and Cochrane Library were searched along with other sources. STUDY SELECTION: A total of 17 studies met the inclusion criteria. DATA EXTRACTION: Standard methodological guidance of the Cochrane Handbook was used and data were independently extracted by multiple observers. The primary outcomes were the improvement of best corrected visual acuity (ΔBCVA). Secondary outcomes were proptosis reduction, change in diplopia, visual field defects, and intraocular pressure (IOP). DATA SYNTHESIS: The ΔBCVA in the ivGC + OD group was improved 0.26 LogMAR more than in the ivGC group (P = .007). The ΔBCVA in the OD group was better than in the ivGC group (P = .008). Posttreatment proptosis in the ivGC + OD and OD groups were improved further by 3.54 mm and 3.00 mm, respectively, than in the ivGC group (P < .01). The mean deviation (MD) in the ivGC + OD group was improved by an additional 5.33 dB than in the ivGC group (P = .002). The IOP in the ivGC + OD group was improved further than in the ivGC group (P = .03). CONCLUSIONS: Based on the results of the present meta-analysis, OD or ivGC + OD may be more effective in improving BCVA and MD and reducing proptosis compared with ivGC. Compared with ivGC alone, ivGC + OD is more effective in improving IOP than ivGC. Although this study improves the hierarchy of evidence in the treatment of DON, additional randomized controlled trials are needed to confirm this conclusion.

Different Characteristics of Orbital Soft Tissue Expansion in Graves Orbitopathy: Extraocular Muscle Expansion is Correlated to Disease Activity While Fat Tissue Volume With Duration.

This study aimed to describe the correlation between some clinical features and orbital soft tissue volume in Graves orbitopathy (GO). The authors collected computed tomography scans from 56 untreated GO patients and measured fat volume (FV), intraorbital and extraorbital FV (IFV, EFV), bony cavity volume (BV), and extraocular muscle volume (MV) of the 112 orbits by using Mimics software. The ratio of soft tissue volume and BV were used to eliminate the individual variations. Outcomes were compared among groups and were correlated with clinical data, including age, sex, clinical activity score, duration, serum TSH receptor antibody (TRAb) level, body mass index and smoking status. Multivariate linear regression showed that higher MV/BV is associated with higher CAS and TRAb level ( P< 0.001, 0.005, res p ectively). No relationship was found between MV/BV and duration, sex, age, and body mass index. IFV/BV was related to duration (ß=0.138, 95% confidence interval: 0.076-0.201, P <0.001), and did not correlate to clinical activity. IFV and MV are positively associated with exophthalmometry ( P =0.009, <0.001, respectively), while orbital bony volume (BV) is negatively correlated with exophthalmometry ( P =0.025). Results suggested TRAb level can impact the severity of GO mainly by affecting extraocular muscle rather than fat tissue. MV of GO is associated with disease activity, whereas IFV is correlated with duration and increases over time.

Validation of the Relationship Between Iris Color and Uveal Melanoma Using Artificial Intelligence With Multiple Paths in a Large Chinese Population.

Previous studies have shown that light iris color is a predisposing factor for the development of uveal melanoma (UM) in a population of Caucasian ancestry. However, in all these studies, a remarkably low percentage of patients have brown eyes, so we applied deep learning methods to investigate the correlation between iris color and the prevalence of UM in the Chinese population. All anterior segment photos were automatically segmented with U-NET, and only the iris regions were retained. Then the iris was analyzed with machine learning methods (random forests and convolutional neural networks) to obtain the corresponding iris color spectra (classification probability). We obtained satisfactory segmentation results with high consistency with those from experts. The iris color spectrum is consistent with the raters' view, but there is no significant correlation with UM incidence.