Van Den Berghe, Thomas
Babin, Danilo
Chen, Min
Callens, Martijn
Brack, Denim
Maes, Helena
Lievens, Jan
Lammens, Marie
Van Sumere, Maxime
Morbée, Lieve
Hautekeete, Simon
Schatteman, Stijn
Jacobs, Tom
Thooft, Willem-Jan
Herregods, Nele
Huysse, Wouter
Jaremko, Jacob L.
Lambert, Robert
Maksymowych, Walter
Laloo, Frederiek
Baraliakos, Xenofon
De Craemer, Ann-Sophie
Carron, Philippe
Van den Bosch, Filip
Elewaut, Dirk
Jans, Lennart
Funding for this research was provided by:
European Society of Musculoskeletal Radiology (Young Researchers Grant 2022)
Koning Boudewijnstichting (Scientific Research on Rheumatology Fund 2022)
Fonds Wetenschappelijk Onderzoek (Fundamenteel Klinisch Mandaat 2022-2027)
Article History
Received: 30 November 2022
Revised: 3 March 2023
Accepted: 25 March 2023
First Online: 23 May 2023
Declarations
:
: The scientific guarantors of this publication are Thomas Van Den Berghe (MD) and Lennart Jans (MD, PhD, professor of Radiology) from the Ghent University Hospital, Ghent, Belgium.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: Danilo Babin (Ir., PhD) from the Ghent University (Department of Telecommunication and Information Processing, Image Processing and Interpretation, Faculty of Engineering and Architecture, IMEC, Ghent, Belgium) kindly provided statistical advice for this manuscript.One of the authors (Danilo Babin, Ir., PhD) has significant statistical expertise.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Forty of the 145 patients were previously included in a dual-energy CT versus MRI study on bone marrow oedema detection in another setting. In the present study, algorithms based on artificial intelligence (CNN/U-Net) are being built on CT scans of the pelvis to detect structural lesions (erosions and ankylosis), which is a totally different study design.Reference study (attached): Chen M, Herregods N, Jaremko JL, Carron P, Elewaut D, Van den Bosch F, et al Bone marrow oedema in sacroiliitis: detection with dual-energy CT. Eur Radiol. 2020;30(6):3393–400.
: • retrospective• diagnostic or prognostic study• multicentre study