Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.

Journal: Rheumatology (Oxford, England)

Published Date: Oct 6, 2022

Abstract

OBJECTIVE: The aim of this study was to develop a deep learning algorithm for detection of active inflammatory sacroiliitis in short tau inversion recovery (STIR) sequence MRI.

Authors

Karina Ying Ying Lin

Department of Diagnostic Radiology, The University of Hong Kong.
Cao Peng

Department of Radiology, the University of Hong Kong.
Kam Ho Lee

Department of Radiology, Queen Mary Hospital.
Shirley Chiu Wai Chan

Division of Rheumatology and Clinical Immunology, Department of Medicine, The University of Hong Kong.
Ho Yin Chung

Division of Rheumatology and Clinical Immunology, Department of Medicine, The University of Hong Kong.

Keywords

Algorithms Axial Spondyloarthritis Bone Marrow Diseases Deep Learning Edema Humans Magnetic Resonance Imaging Sacroiliac Joint Sacroiliitis Spondylarthritis

External Resources

View on PubMed Access via DOI PubMed (35104321)

Deep learning algorithms for magnetic resonance imaging of inflammatory sacroiliitis in axial spondyloarthritis.

Abstract

Authors

Keywords

External Resources

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