SNR analysis of contrast-enhanced MR imaging for early detection of rheumatoid arthritis

PLoS One. 2019 Mar 1;14(3):e0213082. doi: 10.1371/journal.pone.0213082. eCollection 2019.

Abstract

Objective: To investigate whether signal to noise (SNR) analysis of contrast-enhanced MRI gives additional benefit for early disease detection by Magnetic Resonance Imaging (MRI) of experimental rheumatoid arthritis (RA) in a small animal model.

Methods: We applied contrast-enhanced MRI at 7T in DBA mice with or without collagen-induced arthritis (CIA). Clinical score, OMERACT RAMRIS analysis and analysis of signal to noise ratios (SNR) of regions of interest in RA bearing mice, methotrexate/methylprednisolone acetate treated RA and control animals were compared with respect to benefit for early diagnosis.

Results: While treated RA and control animals did not show signs of RA activity in any of the above-mentioned scoring methods at any time point analyzed, RA animals revealed characteristic signs of RA in RAMRIS at the same time point when RA was detected clinically through scoring of the paws. The MR-based SNR analysis detected signs of synovitis, the earliest indication of RA, not only in late clinical stages, but also at an early stage when little or no clinical signs of RA were present in CIA animals and RAMRIS did not allow a distinct early detection.

Conclusion: SNR analysis of contrast-enhanced MR imaging provides additional benefit for early arthritis detection in CIA mice.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Arthritis, Rheumatoid / diagnostic imaging*
  • Arthritis, Rheumatoid / etiology
  • Collagen / toxicity
  • Magnetic Resonance Imaging / methods*
  • Magnetic Resonance Imaging / standards
  • Mice
  • Mice, Inbred DBA
  • Signal-To-Noise Ratio

Substances

  • Collagen

Grants and funding

RM was funded by the German Research Foundation (DFG) (grant number ME 3718/2-1 and ME 3718/5-1; http://www.dfg.de/). FTG, FGG, GJT, EJR, MW, RM and MAK were supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.