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Baseline Volumetric T2 Relaxation Time Histogram Analysis: Can It Be Used to Predict the Response to Intravenous Methylprednisolone Therapy in Patients With Thyroid-Associated Ophthalmopathy?

Authors :
Liu P
Luo B
Chen L
Wang QX
Yuan G
Jiang GH
Zhang J
Source :
Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2021 Feb 25; Vol. 12, pp. 614536. Date of Electronic Publication: 2021 Feb 25 (Print Publication: 2021).
Publication Year :
2021

Abstract

Objective: Prediction of therapy response to intravenous methylprednisolone pulses (ivMP) is crucial for thyroid-associated ophthalmopathy (TAO). Image histograms may offer sensitive imaging biomarkers for therapy effect prediction. This study aimed to investigate whether pretherapeutic, multiparametric T2 relaxation time(T2RT) histogram features of extraocular muscles (EOMs) can be used to predict therapy response.<br />Materials and Methods: Forty-five active and moderate-severe TAO patients, who were treated with standard ivMP and underwent orbital MRI before therapy, were retrospectively included in this study. The patients were divided into responsive (n = 24, 48 eyes) and unresponsive group(n = 21, 42 eyes) according to clinical evaluation. Baseline clinical features of patients and histogram-derived T2RT parameters of the EOMs were analyzed and compared. Logistic regression model was conducted to determine independent predictors, and a histogram features nomogram was formulated for personalized prediction.<br />Results: Responsive group displayed lower values for 5 <superscript>th</superscript> , 10 <superscript>th</superscript> percentiles (P < 0.050, respectively), and higher values for 75 <superscript>th</superscript> , 90 <superscript>th</superscript> , and 95 <superscript>th</superscript> percentiles, skewness, entropy, and inhomogeneity (P < 0.050, respectively) than unresponsive group. Multivariate logistic regression analysis showed that 95 <superscript>th</superscript> percentile of >88.1 [odds ratio (OR) = 12.078; 95% confidence interval (CI) = 3.98-36.655, p < 0.001], skewness of >0.31 (OR = 3.935; 95% CI = 2.28-6.788, p < 0.001) and entropy of >3.41 (OR = 4.375; 95% CI = 2.604-7.351, p < 0.001) were independent predictors for favorable response. The nomogram integration of three independent predictors demonstrated optimal predictive efficiency, with a C-index of 0.792.<br />Conclusions: Pre-treatment volumetric T2RT histogram features of EOMs could function to predict the response to ivMP in patients with TAO. The nomogram based on histogram features facilitates the selection of patients who will derive maximal benefit from ivMP.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Liu, Luo, Chen, Wang, Yuan, Jiang and Zhang.)

Details

Language :
English
ISSN :
1664-2392
Volume :
12
Database :
MEDLINE
Journal :
Frontiers in endocrinology
Publication Type :
Academic Journal
Accession number :
33716970
Full Text :
https://doi.org/10.3389/fendo.2021.614536