Multiparametric MRI quantitative metrics for grading and staging graves' ophthalmopathy

Area of Science:

• Ophthalmology
• Radiology
• Endocrinology

Background:

• Graves' ophthalmopathy (GO) is an autoimmune condition affecting the eye muscles.
• Accurate assessment of GO activity and severity is crucial for effective treatment planning.

Purpose of the Study:

• To evaluate the utility of multiparametric magnetic resonance imaging (MRI) in conjunction with clinical data for assessing GO.
• To develop and validate diagnostic models for GO activity and severity.

Main Methods:

• Retrospective analysis of 71 GO patients (142 eyes).
• Quantitative MRI parameters of extraocular muscles (EOM) including signal intensity ratio (SIR), T1 relaxation times (T1RT), T2 relaxation times (T2RT), and fat fraction (FF) were measured.
• Multivariate logistic regression was used to develop combined diagnostic models, with efficacy assessed by area under the ROC curve (AUC).

Main Results:

• Active and moderate-severe GO eyes exhibited distinct MRI characteristics compared to inactive and mild GO.
• Combined models incorporating EOM MRI parameters (EOM-FFmax, EOM-T1RTmean, EOM-T2RTmean) and clinical factors (sex, thyroid status, TRAb) achieved high diagnostic accuracy.
• Model 3 (staging) and Model 6 (grading) showed AUCs of 0.912 and 0.947, respectively.

Conclusions:

• Quantitative multiparametric MRI combined with clinical parameters provides a robust and accurate method for assessing GO activity and severity.
• This integrated approach enhances diagnostic precision for Graves' ophthalmopathy.