Abstract #5166

The Significance of Quantitative Metrics in Multiparametric MRI for Assessing Grading and Staging of Graves' Ophthalmopathy

shaopeng wu¹, Libin Yang², Yong Cai², Jixing Liang³, Junping Wen³, Honglei Huang⁴, Yang Song⁵, Mingping Ma², and Shun Yu²

¹Department of Medical Imaging, Nanping First Hospital Affiliated to Fujian Medical University and Department of Radiology,Shengli Clinical Medical College of Fujian Medical University,Fujian Provincial Hospital,Fuzhou University Affiliated Provincial Hospital, Fujian,Nanping, China, ²Department of Radiology,Shengli Clinical Medical College of Fujian Medical University,Fujian Provincial Hospital,Fuzhou University Affiliated Provincial Hospital, Fuzhou，Fuzhou, China, ³Department of Endocrinology,Shengli Clinical Medical College of Fujian Medical University,Fujian Provincial Hospital,Fuzhou University Affiliated Provincial Hospital, Fujian,Fuzhou, China, ⁴Department of Medical Imaging, Nanping First Hospital Affiliated to Fujian Medical University, Fujian,Nanping, China, ⁵MR Research Collaboration, Siemens Healthineers Ltd, Shanghai, China

Synopsis

Keywords: Endocrine, Quantitative Imaging, Graves’ Orbitopathy; orbital; activity staging; severity grading; magnetic resonance imaging

Motivation: The medical field currently lacks objective and quantitative measures for accurately assessing the activity and severity of inflammation in Graves' ophthalmopathy (GO).

Goal(s): To develop a more reliable joint parametric modeling approach for assessing the activity and severity of GO.

Approach: Independent predictors were identified through a multifactorial logistic analysis ( AIC criterion), which was then used to develop a prediction model for the activity staging and severity grading of GO-affected eyes. The model's predictive efficacy was assessed using ROC curves.

Results: The model that integrated both multiparametric MRI metrics and clinical metrics demonstrated superior performance in predicting the activity and severity of GO.

Impact: A joint parametric model that integrates multiparametric magnetic resonance quantitative measures with clinical indicators offers a valid and objective quantitative index for assessing both the activity and severity of GO.

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