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Machine Learning for Sacroiliitis Analysis
Academic Video Service
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  • Release Date: 2025-02-20
  • texture analysis
  • sacroiliitis
  • magnetic resonance imaging
Video Introduction

This video is adapted from 10.3390/diagnostics15020209

Axial spondyloarthritis (axSpA) is a chronic inflammatory condition that primarily affects the spine and sacroiliac joints. Unfortunately, its diagnosis is often delayed for years due to the nonspecific nature of its main symptom: back pain. AxSpA is categorized into two subtypes: nonradiographic axSpA (nr-axSpA), which does not show changes on X-rays, and radiographic axSpA (r-axSpA or ankylosing spondylitis), which does exhibit significant structural changes in the sacroiliac joints.

Imaging plays a crucial role in detecting early sacroiliitis associated with axSpA, enabling timely intervention. The 2009 ASAS classification highlighted bone marrow edema (BME) as a key MRI feature for diagnosing nr-axSpA. This advancement enhances diagnostic reliability by overcoming the limitations of traditional radiographic methods and underscores the importance of MRI in achieving greater diagnostic precision in the assessment of axial spondyloarthritis.

Full Transcript
Academic Video Service