A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.

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Abstract

The purpose of this study was to develop and evaluate a deep learning model to detect bone marrow edema (BME) in sacroiliac joints and predict the MRI Assessment of SpondyloArthritis International Society (ASAS) definition of active sacroiliitis in patients with chronic inflammatory back pain.

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Journal ID (iso-abbrev): Diagn Interv Imaging

Title: Diagnostic and interventional imaging

Publisher: Elsevier BV

ISSN (Electronic): 2211-5684

ISSN (Print): 2211-5684

Publication date (Electronic): 2023

Volume: 104

Issue: 7-8

Affiliations

[1 ] Sorbonne Médecine Université, 75013 Paris, France; Department of Radiology, Hôpital Cochin, APHP, 75014 Paris, France. Electronic address: adrien.bordner@aphp.fr.

[2 ] CentraleSupélec, Université Paris-Saclay, Inria, 91190 Gif-sur-Yvette, France.

[3 ] Department of Rheumatology, Reina Sofia University Hospital, IMIBIC, University of Cordoba, 14004 Cordoba, Spain.

[4 ] Department of Radiology, Hôpital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France.

[5 ] Department of Rheumatology, Hôpital Cochin, APHP, 75014 Paris, France; INSERM U1153, Clinical Epidemiology and Biostatistics, PRES Sorbonne Paris-Cité, 75004 Paris, France.

[6 ] Université Paris Cité, 75006 Paris, France; Department of Rheumatology, Hôpital Cochin, APHP, 75014 Paris, France; INSERM U1153, Clinical Epidemiology and Biostatistics, PRES Sorbonne Paris-Cité, 75004 Paris, France.

[7 ] Department of Radiology, Hôpital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France; INSERM U1153, Clinical Epidemiology and Biostatistics, PRES Sorbonne Paris-Cité, 75004 Paris, France.

Article

Publisher Item ID: S2211-5684(23)00056-6

DOI: 10.1016/j.diii.2023.03.008

PubMed ID: 37012131

SO-VID: 33870bf3-53c7-4036-8c5f-a16a37cbc084

History

Keywords: Sacroiliac joint,Artificial intelligence,Deep-learning,Magnetic resonance imaging,Spondyloarthritis

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Keywords: Sacroiliac joint, Artificial intelligence, Deep-learning, Magnetic resonance imaging, Spondyloarthritis

A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.

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