Short inversion time inversion recovery (STIR) MRI is widely used in clinical practice to identify and quantify inflammation in patients with axial spondyloarthritis. However, assessment of STIR images is limited by the qualitative nature of image interpretation, which depends on observer expertise, and can be biased by the clinical setting. To address this, we propose the volume of hyperintense inflammation (VHI) as a quantitative imaging biomarker of inflammation load, underpinned by a recently-described segmentation method incorporating deep learning and intensity-based segmentation.
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