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Development of radiographic classification criteria for hand osteoarthritis: a methodological report (Phase 2).

Ida K HaugenDavid T FelsonAbhishek AbhishekFrancis BerenbaumJohn James EdwardsGabriel Herrero BeaumontMerete Hermann-EriksenCatherine L HillMariko IshimoriHelgi JonssonTeemu KarjalainenYing Ying LeungEmmanuel MaheuChristian D MallenRikke Helene MoeRoberta RamondaValentin RitschlTanja Alexandra StammZoltán SzekaneczFlorus J van der GiesenMarco J P F RittRuth WittoekIngvild KjekenNina ØsteråsLotte A van de StadtMartin EnglundKrysia S DziedzicMichelle M MarshallSita Bierma-ZeinstraPaul HansenElsie GreibrokkWilma SmeetsMargreet Kloppenburg
Published in: RMD open (2022)
Radiographic features were considered critical when determining whether a patient had symptoms due to hand OA. The consensus-based decision analysis approach in Phase 2 complemented the data-driven results from Phase 1, which will form the basis of the final classification criteria sets.
Keyphrases
  • machine learning
  • deep learning
  • knee osteoarthritis
  • case report
  • physical activity
  • sleep quality