The gestalt of spondyloarthritis: From early recognition to long-term imaging outcomes

Sepriano, A.R. (2020)

Doctoral Thesis

In this thesis we have pursued innovative analytical solutions for some of the most challenging questions in the field of SpA. We have gained better insights into the concept of axSpA by studying it independently of the rheumatologist’s opinion. Our findings likely add knowledge to what axSpA really is. Future studies will learn us how much of these insights will translate into a better recognition of the disease in clinical practice and in better classifying them for research purposes. Since SpA is a slowly progressing disease, several years are needed to see meaningful changes in imaging abnormalities of the axial skeleton, which poses methodological challenges. We have shown that thoughtful analytical approaches, that make best use of imaging data, are helpful in better estimating progression, in unravelling its determinants and in clarify which outcomes are best to monitor disease. Efforts are made to further improve outcome measurement in axSpA, including the development of new imaging techniques, which can benefit from our proposed solutions to long-term imaging scoring.

• Axial spondyloarthritis
• Diagnosis
• Classification criteria
• Imaging
• Conventional radiography
• Magnetic resonance imaging
• Statistical methods
• Radiographic progression
• Inflammation

• All authors: Sepriano, A.R.
• Supervisor: Heijde, D.M.F.M. van der; Landewé R.B.M.
• Co-supervisor: Ramiro, M.S.A.C.O.
• Committee: Huizinga, T.W.J.; Gaalen, F.A. van; Dekkers, O.M.; Boers, M.; Boonen, A.E.R.C.H.
• Qualification: Doctor (dr.)
• Awarding Institution: Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University
• Date: 2020-11-19
• ISBN (print): 9789464190359
• Sponsorship: ReumaNederland, UCB pharma B.V.