Quantitative assessment of mobile protein levels in human knee synovial fluid: Feasibility of chemical exchange saturation transfer (proteinCEST) MRI of osteoarthritis

Guang Jia, Yukihisa Takayama, David C. Flanigan, Christopher C. Kaeding, Jinyuan Zhou, Ajit Chaudhari, Daniel Clark, Steffen Sammet, Jiachao Liang, Seongjin Choi, Michael V. Knopp

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Purpose: To establish the feasibility of chemical exchange saturation transfer (proteinCEST) MRI in the differentiation of osteoarthritis (OA) knee joints from non-OA joints by detecting mobile protein and peptide levels in synovial fluid by determining their relative distribution. Materials and Methods: A total of 25 knees in 11 men and 12 women with knee injuries were imaged using whole knee joint proteinCEST MRI sequence at 3 T. The joint synovial fluid was segmented and the asymmetric magnetization transfer ratio at 3.5 ppm MTRasym (3.5 ppm) was calculated to assess protein content in the synovial fluid. The 85th percentile of synovial fluid MTRasym (3.5 ppm) distribution profile was compared using the independent Student's t test. The diagnostic performance of the 85th percentile of synovial fluid MTRasym (3.5 ppm) in differentiating OA and non-OA knee joints was evaluated. Results: The 85th percentile of synovial fluid MTRasym (3.5 ppm) in knee joints with OA was 8.6%±3.4% and significantly higher than that in the knee joints without OA (6.3%±1.4%, P<05). A knee joint with an 85th percentile of synovial fluid MTRasym (3.5 ppm) greater than 7.7% was considered to be an OA knee joint. With the threshold, the sensitivity, specificity and overall accuracy for differentiating knee joints with OA from the joints without OA were 54% (7/13), 92% (11/12) and 72% (18/25), respectively. Conclusion: proteinCEST MRI appears feasible as a quantitative methodology to determine mobile protein levels in synovial fluid and identify patterns characteristic for OA disease.

Original languageEnglish
Pages (from-to)335-341
Number of pages7
JournalMagnetic Resonance Imaging
Volume29
Issue number3
DOIs
Publication statusPublished - Apr 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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