An objective diagnosis of gout and calcium pyrophosphate deposition disease with machine learning of Raman spectra acquired in a point-of-care setting.

Journal: Rheumatology (Oxford, England)
PMID: 39222431

Abstract

OBJECTIVE: Raman spectroscopy is proposed as a next-generation method for the identification of monosodium urate (MSU) and calcium pyrophosphate (CPP) crystals in synovial fluid. As the interpretation of Raman spectra requires specific expertise, the method is not directly applicable for clinicians. We developed an approach to demonstrate that the identification process can be automated with the use of machine learning techniques. The developed system is tested in a point-of-care-setting at our outpatient rheumatology department.

Authors

  • Tom Niessink
    Personalized Diagnostics and Therapeutics, Department of Bioengineering Technology, University of Twente, Enschede, The Netherlands.
  • Tim L Jansen
    Department of Rheumatology, VieCuri Medical Centre, Venlo, The Netherlands.
  • Frank A W Coumans
    Decisive Science, Amsterdam, The Netherlands.
  • Tim J M Welting
    Laboratory for Experimental Orthopedics, Department of Orthopaedic Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands.
  • Matthijs Janssen
    Department of Rheumatology, VieCuri Medical Centre, Venlo, The Netherlands.
  • Cees Otto
    Medical Cell BioPhysics, TechMed Centre, University of Twente, Enschede 7500 AE, The Netherlands.

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