Application of Magnetic Resonance Imaging in the Evaluation of Disease Activity in Graves’ Ophthalmopathy

医学 磁共振成像 内科学 阶段(地层学) 胃肠病学 放射科 核医学 生物 古生物学
作者
Xingtong Liu,Yun Su,Mengda Jiang,Sijie Fang,Yazhuo Huang,Yinwei Li,Sisi Zhong,Yang Wang,Shuo Zhang,Yu Wu,Jing Sun,Xianqun Fan,Huifang Zhou
出处
期刊:Endocrine Practice [Elsevier BV]
卷期号:27 (3): 198-205 被引量:18
标识
DOI:10.1016/j.eprac.2020.09.008
摘要

Objective To evaluate magnetic resonance imaging parameters, T2 signal intensity ratios (SIRs), and normalized apparent diffusion coefficients (n-ADC) of the extraocular muscles (EOMs) in the identification of different stages of Graves' ophthalmopathy (GO) and to find out the correlation of T2-SIRs and n-ADC values with disease changes after anti-inflammatory treatment. Methods Altogether, 43 patients (86 orbits) were enrolled and classified into "active" or "inactive" stages by clinical activity score (CAS). Twenty-three (53.5%) patients received anti-inflammatory treatment and underwent a follow-up evaluation. Fifteen age- and gender-matched control participants (30 orbits) were included. T2-SIRs and n-ADC values of EOMs were calculated among GO and healthy controls and were correlated with CAS. Changes in these parameters were also evaluated before and after anti-inflammatory treatment. Results Mean T2-SIRs and n-ADC values were both significantly higher in GO patients than in controls and higher in active GO than in inactive GO. In the inactive stage, n-ADC values of inferior rectus muscles were still higher than those in healthy controls. Both T2-SIRs and n-ADC values decreased after intravenous steroid pulse therapy. The cutoff value of pretreatment n-ADC was 1.780 to detect stages with specificity of 93.7% and sensitivity of 48.3% (P = .035). Conclusion T2-SIRs and n-ADC values are valuable magnetic resonance imaging indicators of the inflammatory activity in GO by detecting involvement of EOMs. They are also ideal tools to monitor the efficacy of anti-inflammatory treatment in patients with active stage GO. n-ADC values, when combined with CAS, can be promising predictive factors in the detection of stages of diseases.
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