This study aims to further improve and expand the WB-MRI imaging evaluation cohort of axSpA patients to complete dynamic follow-up and condition assessment. Based on the WB-MRI features, the association of WB-MRI signs with disease activity, inflammation, and structural damage will be analyzed. At the same time, in-depth data mining was conducted and machine learning was used to construct a new axSpA disease activity assessment model based on WB-MRI data, and the accuracy and reliability of the model were clearly evaluated in the discovery cohort and validation cohort.
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Exclusion Criteria: Unable to provide written consent Unable to undergo MRI examination Pregnancy Unable to read and/or write Chinese
Case-only
Prospective
Whole body MRI
Procedure/SurgeryThese studies will be performed on a 3Tesla (T) MR system (Achieva, Philips Medical Systems) for all patients.
WB-MRI imaging characteristics of patients with axSpA.
Compare the correlation between WB-MRI changes and disease activity, disease progression and structural damage at baseline and after 2 years of follow-up.
The correlation between WB-MRI changes and disease activities
To elucidate the correlation between WB-MRI changes and inflammation, structural damage and disease activity in patients with axSpA.
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