Keywords: Diagnosis/Prediction, Machine Learning/Artificial Intelligence
Motivation: The assessment of thyroid-associated ophthalmopathy (TAO) activity is crucial for determining the appropriate treatment. However, it was based on clinical activity score(CAS) which relies on subjective symptoms and judgment heavily.
Goal(s): The aim of this study was to establish an objective evaluating model for TAO’s activity based on MR Imaging-Derived Radiomics.
Approach: MR Imaging was performed for different activity status of TAO patients, after that radiomics features were extracted and selected. Radiomics models were constructed.
Results: The radiomics model of T2 weighted SPIR-based extraocular muscles can achieve satisfactory performance than those of optic nerve or interorbital tissue in evaluating the activity of TAO.
Impact: This study constructed the T2 -weighted MR imaging-derived radiomics model to evaluate the activity of thyroid-associated ophthalmopathy, which could be a more objective and consistent evaluating approach than clinical activity score.
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