Volumetric multislice gagCEST imaging of articular cartilage: Optimization and comparison with T1rho

Magn Reson Med. 2017 Mar;77(3):1134-1141. doi: 10.1002/mrm.26200. Epub 2016 Feb 28.

Abstract

Purpose: To develop and optimize a multislice glycosaminoglycan (GAG) chemical exchange saturation transfer (GagCEST) sequence for volumetric imaging of articular cartilage, and to validate the sequence against T relaxation times in whole joint imaging of tibiotalar cartilage.

Methods: Ex vivo experiments were used to observe the effect of the number of partitions and shot TR on signal-to-noise ratio and measured GagCESTasym . GagCEST imaging of the entire tibiotalar joint was also performed on 10 healthy subjects. The measured GagCESTasym was compared and correlated with T relaxation times.

Results: Ex vivo studies showed a higher average GagCESTasym from articular cartilage on multislice acquisitions acquired with two or more partitions than observed with a single-slice acquisition. In healthy human subjects, an average GagCESTasym of 8.8 ± 0.7% was observed. A coefficient of variation of GagCESTasym across slices of less than 15% was seen for all subjects. Across subjects, a Pearson correlation coefficient of -0.58 was observed between the measured gagCESTasym and T relaxation times.

Conclusions: We demonstrated the feasibility and optimization of multislice GagCEST mapping of articular cartilage. Volumetric analysis and decreased scan times will help to advance the clinical utility of GagCEST imaging of articular cartilage. Magn Reson Med 77:1134-1141, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Keywords: GAG; GagCEST; cartilage; osteoarthritis.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Algorithms
  • Animals
  • Ankle Joint / anatomy & histology
  • Ankle Joint / metabolism
  • Cartilage, Articular / anatomy & histology
  • Cartilage, Articular / metabolism*
  • Cattle
  • Glycosaminoglycans / metabolism*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • In Vitro Techniques
  • Magnetic Resonance Imaging / methods*
  • Molecular Imaging / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted*
  • Tissue Distribution

Substances

  • Glycosaminoglycans