High‐resolution deep learning DIXON MRI of the sacroiliac joints is non‐inferior to standard MRI in patients with suspected axial Spondyloarthritis

Dominik Deppe; Mariam Koka; Fabian Proft; Sevtap Tugce Ulas; Kay-Geert Hermann; D Poddubnyy; Mikhail Protopopov; Henriette Baum; Hildrun Haibel; Mehrgan Shahryari; Valeria Ríos Rodríguez; Jens Vogel‐Claussen; Torsten Diekhoff

doi:10.1002/art.70195

April 21, 2026Arthritis & RheumatologyOpen Access

High‐resolution deep learning DIXON MRI of the sacroiliac joints is non‐inferior to standard MRI in patients with suspected axial Spondyloarthritis

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Key Points

To evaluate the diagnostic performance of high-resolution deep learning DIXON MRI compared to standard MRI in patients suspected of having axial spondyloarthritis.
Utilized high-resolution deep learning DIXON MRI technology
Compared results with standard MRI
Assessed scan time and diagnostic capabilities
DL-DIXON MRI provided clinically acceptable diagnostic performance
Substantial reduction in scan time
Indicates improved efficiency and accessibility for assessments

Implication

DL-DIXON MRI demonstrates non-inferior diagnostic performance in axial spondyloarthritis, suggesting improved efficiency in assessments.

Abstract

DL-DIXON provides clinically acceptable diagnostic performance while substantially reducing scan time. This approach may improve efficiency and accessibility of MRI for axSpA assessment.

Discussion

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Cite This Study

Deppe et al. (2026) studied this question.

synapsesocial.com/papers/69e9baeb85696592c86ecd44 https://doi.org/10.1002/art.70195

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High‐resolution deep learning DIXON MRI of the sacroiliac joints is non‐inferior to standard MRI in patients with suspected axial Spondyloarthritis

Key Points

Implication

Abstract

Discussion

Cite This Study

High‐resolution deep learning DIXON MRI of the sacroiliac joints is non‐inferior to standard MRI in patients with suspected axial Spondyloarthritis

Key Points

Implication

Abstract

Discussion

Cite This Study

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