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

Duftner, C., Dejaco, C., Sepriano, A. et al. (3 more authors) (2018) Imaging in diagnosis, outcome prediction and monitoring of large vessel vasculitis : a systematic literature review and meta-analysis informing the EULAR recommendations. RMD Open, 4 (1). e000612.

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article). 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Keywords: giant cell arteritis; magnetic resonance imaging; ultrasonography
Dates:
  • Accepted: 19 December 2017
  • Published (online): 2 February 2018
  • Published: 2 February 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 18 Oct 2021 13:13
Last Modified: 19 Oct 2021 03:36
Status: Published
Publisher: BMJ Publishing Group
Refereed: Yes
Identification Number: https://doi.org/10.1136/rmdopen-2017-000612
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