Background: Thyroid eye disease (TED) is an extrathyroidal manifestation of Graves’ disease and is associated with dry eye disease. This is the first systematic review and meta-analysis to evaluate the role of magnetic resonance imaging (MRI) lacrimal gland (LG) parameters in TED diagnosis, activity grading, and therapeutic responses prediction. Methods: Up to 23 August, 2022, 504 studies from PubMed and Cochrane Library were analyzed. After removing duplicates and imposing selection criteria, nine eligible studies were included. Risk of bias assessment was done. Meta-analyses were performed using random-effect model if heterogeneity was significant. Otherwise, fixed-effect model was used. Main outcome measures include seven structural MRI parameters (LG herniation (LGH), maximum axial area (MAA), maximum coronal area (MCA), maximum axial length (MAL), maximum coronal length (MCL), maximum axial width (MAW), maximum coronal width (MCW)), and three functional MRI parameters (diffusion tensor imaging (DTI)-fractional anisotropy (FA), DTI-apparent diffusion coefficient (ADC) or mean diffusivity (MD), diffusion-weighted imaging (DWI)-ADC). Results: TED showed larger MAA, MCA, MAL, MAW, MCW, DTI-ADC/MD, and lower DTI-FA than controls. Active TED showed larger LGH, MCA, DWI-ADC than inactive. LG dimensional (MAA, MCA, MAL, MAW, MCW) and functional parameters (DTI-FA, DTA-ADC/MD) could be used for diagnosing TED; LGH, MCA, and DWI-ADC for differentiating active from inactive TED; DTI parameters (DTI-FA, DTI-MD) and LGH for helping grading and therapeutic responses prediction respectively. Conclusions: MRI LG parameters can detect active TED and differentiate TED from controls. MCA is the most effective indicator for TED diagnosis and activity grading. There are inconclusive results showing whether structural or functional LG parameters have diagnostic superiority. Future studies are warranted to determine the use of MRI LG parameters in TED.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.