Predicting the response to glucocorticoid therapy in thyroid-associated ophthalmopathy: mobilizing structural MRI-based quantitative measurements of orbital tissues.

Abstract:

PURPOSE:We aimed to evaluate the performance of structural magnetic resonance imaging (MRI)-based quantitative measurements at extraocular muscle (EOM), orbital fat (OF), and especially lacrimal gland (LG) in predicting response to glucocorticoid (GC) in patients with active and moderate-severe thyroid-associated ophthalmopathy (TAO). METHODS:Forty-seven active and moderate-severe TAOs (responsive group, 29 patients and 58 eyes; unresponsive group, 18 patients and 36 eyes) were enrolled. Pretreatment MRI-based parameters of EOM, OF, and LG, and clinical factors were retrospectively collected and compared between two groups. Logistic regression and receiver operating characteristic curve analyses were used to assess the predictive value of identified independent variables. RESULTS:Responsive group showed significantly higher minimum signal intensity ratio of EOM (EOM-SIRmin) (p < 0.001), higher EOM-SIRmean (p = 0.034), higher LG herniation (LGH) (p = 0.019), lower OF thickness (OFT) (p = 0.017), higher LGH/OFT ratio (p = 0.001), and shorter disease duration (p = 0.004) than unresponsive group. Multivariate analysis showed that EOM-SIRmin, LGH/OFT ratio, and disease duration were independent predictors for responsive TAOs (all p < 0.05). Integration of three independent predictors demonstrated optimal predictive efficiency (area under curve, 0.829). Combining EOM-SIRmin ≥1.43 and LGH/OFT ratio ≥1.65, optimal predictive specificity (94.4%) could be obtained, while optimal predictive sensitivity (82.8%) was achieved when integrating disease duration ≤3.5 and LGH/OFT ratio ≥1.65. CONCLUSIONS:Structural MRI-based quantitative measurements at EOM, OF, and LG, specially EOM-SIRmin and LGH/OFT ratio, together with disease duration, may serve as promising markers to predict response to GC in patients with active and moderate-severe TAO.

journal_name

Endocrine

journal_title

Endocrine

authors

Hu H,Xu XQ,Chen L,Chen W,Wu Q,Chen HH,Zhu H,Shi HB,Wu FY

doi

10.1007/s12020-020-02367-5

subject

Has Abstract

pub_date

2020-11-01 00:00:00

pages

372-379

issue

2

eissn

1355-008X

issn

1559-0100

pii

10.1007/s12020-020-02367-5

journal_volume

70

pub_type

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