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AI-powered ankylosing spondylitis detection on spine MRI. Identify sacroiliitis, syndesmophytes, bamboo spine changes, and corner inflammatory lesions. 4 AI models assess disease activity and structural damage.
Ankylosing spondylitis is a chronic inflammatory arthritis primarily affecting the axial skeleton, with sacroiliitis as its hallmark feature. The disease typically begins in young adults and is strongly associated with HLA-B27. Progressive inflammation leads to syndesmophyte formation, ligamentous ossification, and eventual spinal fusion (bamboo spine). MRI is the most sensitive modality for detecting early sacroiliitis before radiographic changes appear. Our AI consortium evaluates sacroiliac joint inflammation, bone marrow edema patterns, structural damage, and spinal involvement to support early diagnosis and disease monitoring.
MRI can detect bone marrow edema in the sacroiliac joints years before erosions or sclerosis become visible on X-ray. The ASAS classification criteria include MRI sacroiliitis as a key diagnostic criterion. Our AI evaluates both active inflammatory changes and structural damage in the sacroiliac joints and spine according to established scoring methods.
Inflammatory back pain from ankylosing spondylitis typically worsens with rest and improves with activity, begins before age 40, and has an insidious onset. Mechanical back pain worsens with activity and improves with rest. MRI findings of sacroiliitis with bone marrow edema are highly specific for inflammatory spondyloarthritis and help distinguish it from degenerative causes.
Yes. MRI is used to monitor both active inflammation and structural progression. A decrease in bone marrow edema on follow-up MRI suggests treatment response, while new syndesmophytes or progressive ankylosis indicates structural progression. Our AI provides detailed characterization of both inflammatory activity and structural changes to help track disease status over time.
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