Literature DB >> 28019053

Prestructural cartilage assessment using MRI.

Thomas M Link1, Jan Neumann1, Xiaojuan Li1.   

Abstract

Cartilage loss is irreversible, and to date, no effective pharmacotherapies are available to protect or regenerate cartilage. Quantitative prestructural/compositional MR imaging techniques have been developed to characterize the cartilage matrix quality at a stage where abnormal findings are early and potentially reversible, allowing intervention to halt disease progression. The goal of this article is to critically review currently available technologies, present the basic concept behind these techniques, but also to investigate their suitability as imaging biomarkers including their validity, reproducibility, risk prediction and monitoring of therapy. Moreover, we highlighted important clinical applications. This review article focuses on the currently most relevant and clinically applicable technologies, such as T2 mapping, T2*, T1ρ, delayed gadolinium enhanced MRI of cartilage (dGEMRIC), sodium imaging and glycosaminoglycan chemical exchange saturation transfer (gagCEST). To date, most information is available for T2 and T1ρ mapping. dGEMRIC has also been used in multiple clinical studies, although it requires Gd contrast administration. Sodium imaging and gagCEST are promising technologies but are dependent on high field strength and sophisticated software and hardware. LEVEL OF EVIDENCE: 5 J. Magn. Reson. Imaging 2017;45:949-965.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  T1rho; T2 mapping; cartilage; dGEMRIC; quantitative MRI; sodium MRI

Mesh:

Year:  2016        PMID: 28019053     DOI: 10.1002/jmri.25554

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  32 in total

1.  Do dGEMRIC and T2 Imaging Correlate With Histologic Cartilage Degeneration in an Experimental Ovine FAI Model?

Authors:  Florian Schmaranzer; Larissa Arendt; Emanuel F Liechti; Katja Nuss; Brigitte von Rechenberg; Patrick R Kircher; Moritz Tannast
Journal:  Clin Orthop Relat Res       Date:  2019-05       Impact factor: 4.176

Review 2.  [MRI diagnostics in inflammatory joint and spinal diseases: protocols and special sequences: when and for what?]

Authors:  P Sewerin; B Ostendorf; C Schleich
Journal:  Z Rheumatol       Date:  2018-08       Impact factor: 1.372

3.  Rapid volumetric gagCEST imaging of knee articular cartilage at 3 T: evaluation of improved dynamic range and an osteoarthritic population.

Authors:  Lauren E Watkins; Elka B Rubin; Valentina Mazzoli; Scott D Uhlrich; Arjun D Desai; Marianne Black; Gabe K Ho; Scott L Delp; Marc E Levenston; Gary S Beaupré; Garry E Gold; Feliks Kogan
Journal:  NMR Biomed       Date:  2020-05-23       Impact factor: 4.044

Review 4.  Imaging of osteoarthritis-recent research developments and future perspective.

Authors:  Daichi Hayashi; Frank W Roemer; Ali Guermazi
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

Review 5.  New advances in MRI diagnosis of degenerative osteoarthropathy of the peripheral joints.

Authors:  Federico Bruno; Francesco Arrigoni; Pierpaolo Palumbo; Raffaele Natella; Nicola Maggialetti; Alfonso Reginelli; Alessandra Splendiani; Ernesto Di Cesare; Luca Brunese; Giuseppe Guglielmi; Andrea Giovagnoni; Carlo Masciocchi; Antonio Barile
Journal:  Radiol Med       Date:  2019-02-15       Impact factor: 3.469

6.  dGEMRIC and CECT Comparison of Cationic and Anionic Contrast Agents in Cadaveric Human Metacarpal Cartilage.

Authors:  Jonathan D Freedman; Daniel J Ellis; Hrvoje Lusic; Gopal Varma; Aaron K Grant; Benjamin A Lakin; Brian D Snyder; Mark W Grinstaff
Journal:  J Orthop Res       Date:  2019-11-14       Impact factor: 3.494

7.  A unique anisotropic R2 of collagen degeneration (ARCADE) mapping as an efficient alternative to composite relaxation metric (R2 -R1 ρ ) in human knee cartilage study.

Authors:  Yuxi Pang; Riann M Palmieri-Smith; Dariya I Malyarenko; Scott D Swanson; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2019-02-22       Impact factor: 4.668

Review 8.  [Chondral and osteochondral defects : Representation by imaging methods].

Authors:  S Nebelung; B Rath; M Tingart; C Kuhl; S Schrading
Journal:  Orthopade       Date:  2017-11       Impact factor: 1.087

9.  Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.

Authors:  V Pedoia; J Lee; B Norman; T M Link; S Majumdar
Journal:  Osteoarthritis Cartilage       Date:  2019-03-21       Impact factor: 6.576

10.  Type 2 diabetes patients have accelerated cartilage matrix degeneration compared to diabetes free controls: data from the Osteoarthritis Initiative.

Authors:  J Neumann; F C Hofmann; U Heilmeier; W Ashmeik; K Tang; A S Gersing; B J Schwaiger; M C Nevitt; G B Joseph; N E Lane; C E McCulloch; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2018-03-29       Impact factor: 6.576

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