Whole Body MRI for Non-invasive Lesion Detection and Therapy Follow-up: Study With Patient
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-dep
| Condition(s) | Spondyloarthritis (SpA), Whole-body MRI (WBMRI) |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | 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. |
| Who can participate | Inclusion Criteria: Include newly referred patients if: The onset of symptoms (back pain/arthritis/enthesitis) \< 45 years Undiagnosed disease with the following symptoms: chronic back pain (duration of back pain more than 3 months) and/or peripheral arthritis (asymmetric arthritis/predominantly of the lower limbs) and/or enthesitis and/or dactylitis Exclusion Criteria: And diagnosed with non-radiographic or radiographic axial SpA |
| Ages | 18 Years |
| Sex | All |
| Lead sponsor | The First Affiliated Hospital with Nanjing Medical University |
| Locations | Nanjing, Jiangsu, China |
| Start date | 2022-01-01 |
| NCT ID | NCT07230327 |
| Official listing | https://clinicaltrials.gov/study/NCT07230327 |