Role of advanced MRI techniques for sacroiliitis assessment and quantification

•Advanced MRI sequences are demonstrating their potential utility for a more precise assessment of SIJ.•Dixon sequences, T2-mapping, Diffusion Weighted Imaging or DCE-MRI can be acquired in the SIJ with promising results.•Further studies are needed to determine if the parameters derived from these s...

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Veröffentlicht in:European journal of radiology 2023-06, Vol.163, p.110793-110793, Article 110793
Hauptverfasser: Martín-Noguerol, Teodoro, Casado-Verdugo, Oscar L., Beltrán, Luis S., Aguilar, Gabriel, Luna, Antonio
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Sprache:eng
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Zusammenfassung:•Advanced MRI sequences are demonstrating their potential utility for a more precise assessment of SIJ.•Dixon sequences, T2-mapping, Diffusion Weighted Imaging or DCE-MRI can be acquired in the SIJ with promising results.•Further studies are needed to determine if the parameters derived from these sequences can be integrated into ASAS criteria. The introduction of MRI was supposed to be a qualitative leap for the evaluation of Sacroiliac Joint (SIJ) in patients with Axial Spondyloarthropathies (AS). In fact, MRI findings such as bone marrow edema around the SIJ has been incorporated into the Assessment in SpondyloArthritis International Society (ASAS criteria). However, in the era of functional imaging, a qualitative approach to SIJ by means of conventional MRI seems insufficient. Advanced MRI sequences, which have successfully been applied in other anatomical areas, are demonstrating their potential utility for a more precise assessment of SIJ. Dixon sequences, T2-mapping, Diffusion Weighted Imaging or DCE-MRI can be properly acquired in the SIJ with promising and robust results. The main advantage of these sequences resides in their capability to provide quantifiable parameters that can be used for diagnosis of AS, surveillance or treatment follow-up. Further studies are needed to determine if these parameters can also be integrated into ASAS criteria for reaching a more precise classification of AS based not only on visual assessment of SIJ but also on measurable data.
ISSN:0720-048X
1872-7727
DOI:10.1016/j.ejrad.2023.110793