School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Key Laboratory of Orbital Diseases and ocularoncology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Int Ophthalmol. 2024 May 3;44(1):213. doi: 10.1007/s10792-024-03138-1.
This study aimed to explore the diagnostic value of whole-orbit-based multiparametric assessment on Dixon MRI for the evaluation of the thyroid eye disease (TED) activity.
The retrospective study enrolled patients diagnosed as TED and obtained their axial and coronal Dixon MRI scans. Multiparameters were assessed, including water fraction (WF), fat fraction (FF) of extraocular muscles (EOMs), orbital fat (OF), and lacrimal gland (LG). The thickness of OF and herniation of LG were also measured. Univariable and multivariable logistic regression was applied to construct prediction models based on single or multiple structures. Receiver operating characteristic (ROC) curve analysis was also implemented.
Univariable logistic analysis revealed significant differences in water fraction (WF) of the superior rectus (P = 0.018), fat fraction (FF) of the medial rectus (P = 0.029), WF of OF (P = 0.004), and herniation of LG (P = 0.012) between the active and inactive TED phases. Multivariable logistic analysis and corresponding receiver operating characteristic curve (ROC) analysis of each structure attained the area under the curve (AUC) values of 0.774, 0.771, and 0.729 for EOMs, OF, and LG, respectively, while the combination of the four imaging parameters generated a final AUC of 0.909.
Dixon MRI may be used for fine multiparametric assessment of multiple orbital structures. The whole-orbit-based model improves the diagnostic performance of TED activity evaluation.
本研究旨在探讨基于全眼眶的多参数评估 Dixon MRI 对甲状腺眼病（TED）活动评估的诊断价值。
这项回顾性研究纳入了被诊断为 TED 的患者，并获取了他们的轴向和冠状 Dixon MRI 扫描。评估了多个参数，包括眼外肌（EOM）的水分数（WF）、脂肪分数（FF）、眼眶脂肪（OF）和泪腺（LG）。还测量了 OF 的厚度和 LG 的突出程度。应用单变量和多变量逻辑回归构建基于单个或多个结构的预测模型。也进行了接收器操作特征（ROC）曲线分析。
单变量逻辑分析显示，上直肌的水分数（WF）（P=0.018）、内直肌的脂肪分数（FF）（P=0.029）、OF 的 WF（P=0.004）和 LG 的突出程度（P=0.012）在活动期和非活动期 TED 之间存在显著差异。多变量逻辑分析和相应的每个结构的 ROC 分析获得了 EOM、OF 和 LG 的曲线下面积（AUC）值分别为 0.774、0.771 和 0.729，而四个成像参数的组合产生了最终 AUC 值为 0.909。
Dixon MRI 可用于对多个眼眶结构进行精细的多参数评估。基于全眼眶的模型提高了 TED 活动评估的诊断性能。
