A novel diagnostic test for arthritis : multivariate analysis of infrared spectra of synovial fluid

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DOIResolve DOI: http://doi.org/10.1002/(SICI)1520-6343(1997)3:2<161::AID-BSPY9>3.0.CO;2-A
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TypeArticle
Journal titleBiospectroscopy
ISSN1520-6343
Volume3
Issue2
Pages161167; # of pages: 7
Subjectarthritis; diagnosis; infrared spectroscopy; linear discriminant analysis
AbstractFourier transform infrared spectroscopy has been applied to the investigation of synovial fluids (SFs) aspirated from arthritic joints. Significant differences, related to differences in the composition of the fluid as a result of the disease processes, were found between spectra of SFs from joints affected by rheumatoid arthritis, osteoarthritis, spondyloarthropathies, and meniscal injuries. Linear discriminant analysis with leave-one-out cross validation was used to classify 239 SF film spectra obtained from 86 patients. Using a patient-based approach, in which the consensus of results obtained from three spectra of each fluid was taken as the diagnosis, multivariate analysis successfully classified spectra into four classes, in excellent agreement with clinical diagnosis (96.5% correct classification). These results demonstrate that when combined with a properly trained classifier, infrared spectra of SF films can be used as an aid in the diagnosis of arthritic disorders.
Publication date
PublisherJohn Wiley & Sons, Inc.
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Biodiagnostics
Peer reviewedYes
NRC number462
NPARC number9742775
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Record identifier4f6b1716-7567-4bf4-b277-fdac79cfb185
Record created2009-07-17
Record modified2016-11-03
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