Chemical Properties of Cartilage Studied Using Charged Ions

Research output: Chapter in Book/Report/Conference proceedingBook chapter

Abstract

Articular cartilage is a soft tissue built mainly from collagen and highly negatively charged biological polyelectrolytes. The high negative charge is responsible for crucial properties of cartilage, such as tissue hydration and biomechanical load resistance. As a consequence, breakdown and loss of the polyelectrolytes in cartilage has an adverse effect on its function and there is a need for methods to determine the amount of polyelectrolytes in cartilage. Here we discuss one such method, the delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). dGEMRIC builds on the fact that a negatively charged MRI contrast agent will distribute in an inverse relation to the concentration of polyelectrolytes on account of the electrostatic repulsion between the two. We introduce the method and discuss some of the key assumptions. In particular, we focus on the relaxivity parameter that should be used to convert the measured water spin-lattice relaxation times to a concentration of the contrast agent, the time for reaching equilibrium with respect to penetration of the contrast agent into cartilage and the use of ideal Donnan equilibrium in the further analysis of dGEMRIC data. Finally, we present some examples of clinical applications of the dGEMRIC method.

Details

Authors
Organisations
External organisations
  • Skåne University Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging
  • Physical Chemistry
Original languageEnglish
Title of host publicationBiophysics and Biochemistry of Cartilage by NMR and MRI
EditorsY. Xia, K. Momot
PublisherRoyal Society of Chemistry
Pages176-190
Number of pages15
Volume8
ISBN (Electronic)978-1-78262-905-4
ISBN (Print) 978-1-78262-133-1
Publication statusPublished - 2017
Publication categoryResearch
Peer-reviewedYes

Publication series

NameNew Developments in NMR
Number8
Volume2017-January
ISSN (Print)2044253X
ISSN (Electronic)20442548