EUR > Medicine & Health > Erasmus MC > View Doctoral Thesis
http://hdl.handle.net/1765/31136
isbn: 978-94-6169-194-1

Identifying Knee Osteoarthritis: Classification, early recognition and imaging

(Identificatie van knie artrose: Classificatie, eerste herkenning en imaging)


Doctoral Thesis
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(120201_Schiphof, Dieuwke - Identifying Knee Osteoarthritis_ Classification, early recognition and imaging.pdf, 6.9MB)
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(Voorpagina - proefschrift D. Schiphof.pdf, 0.3MB)
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Osteoarthritis (OA) is one of the most frequently occurring health problems in middle aged and older people. Treatment of OA is focused on treating symptoms while it might be more effective to start treatment before symptoms are present. Early predictive signs for evident knee OA need to be identified, so it will be possible to define people that will get OA in the future. This thesis describes the evaluation of different classification criteria and the identification of radiographic and MRI features that are related to different aspects of clinical symptoms and risk factors of (early) knee OA


Supervisors (promotores):

Prof. Dr. Ir. Weinans, H.H.
Prof. Dr. Bierma-Zeinstra, S.M.A.

The author wishes to thank:

NWO
Erasmus MC, Rotterdam
Dutch Arthritis Foundation, Amsterdam
Stichting Anna Fonds, Leiden


Keywords


Automatically Extracted Terms
  • study
  • knee oa
  • grade
  • cartilage
  • osteoarthritis
  • criteria
  • description
  • knee pain
  • osteophyte
  • cartilage volume
  • risk factors
  • knee osteoarthritis
  • radiographic
  • association
  • classi fication criteria
  • feature
  • population
  • chapter
  • volume
  • medial


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