Imaging in diagnosis, monitoring and outcome prediction of large vessel vasculitis: a systematic literature review and meta-analysis informing the 2023 update of the EULAR recommendations

Bosch, P. orcid.org/0000-0002-6783-6422, Bond, M. orcid.org/0000-0002-5400-2955, Dejaco, C. orcid.org/0000-0002-0173-0668 et al. (5 more authors) (2023) Imaging in diagnosis, monitoring and outcome prediction of large vessel vasculitis: a systematic literature review and meta-analysis informing the 2023 update of the EULAR recommendations. RMD Open, 9 (3). e003379. ISSN 2056-5933

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Authors/Creators:
Copyright, Publisher and Additional Information: © Author(s) (or their employer(s)) 2023. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Keywords: Clinical Research; Clinical Trials and Supportive Activities; Autoimmune Disease; Biomedical Imaging; Evaluation of markers and technologies; Detection, screening and diagnosis; Cardiovascular
Dates:
  • Accepted: 7 August 2023
  • Published (online): 24 August 2023
  • Published: 24 August 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Sep 2023 10:11
Last Modified: 08 Sep 2023 10:11
Status: Published
Publisher: BMJ
Refereed: Yes
Identification Number: https://doi.org/10.1136/rmdopen-2023-003379
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