Literature DB >> 23833729

Quantitative MRI techniques of cartilage composition.

Stephen J Matzat1, Jasper van Tiel, Garry E Gold, Edwin H G Oei.   

Abstract

Due to aging populations and increasing rates of obesity in the developed world, the prevalence of osteoarthritis (OA) is continually increasing. Decreasing the societal and patient burden of this disease motivates research in prevention, early detection of OA, and novel treatment strategies against OA. One key facet of this effort is the need to track the degradation of tissues within joints, especially cartilage. Currently, conventional imaging techniques provide accurate means to detect morphological deterioration of cartilage in the later stages of OA, but these methods are not sensitive to the subtle biochemical changes during early disease stages. Novel quantitative techniques with magnetic resonance imaging (MRI) provide direct and indirect assessments of cartilage composition, and thus allow for earlier detection and tracking of OA. This review describes the most prominent quantitative MRI techniques to date-dGEMRIC, T2 mapping, T1rho mapping, and sodium imaging. Other, less-validated methods for quantifying cartilage composition are also described-Ultrashort echo time (UTE), gagCEST, and diffusion-weighted imaging (DWI). For each technique, this article discusses the proposed biochemical correlates, as well its advantages and limitations for clinical and research use. The article concludes with a detailed discussion of how the field of quantitative MRI has progressed to provide information regarding two specific patient populations through clinical research-patients with anterior cruciate ligament rupture and patients with impingement in the hip. While quantitative imaging techniques continue to rapidly evolve, specific challenges for each technique as well as challenges to clinical applications remain.

Entities:  

Keywords:  Magnetic resonance imaging; biomarker; cartilage; osteoarthritis (OA); quantitative

Year:  2013        PMID: 23833729      PMCID: PMC3701096          DOI: 10.3978/j.issn.2223-4292.2013.06.04

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  100 in total

1.  UTE-T2∗ mapping of human articular cartilage in vivo: a repeatability assessment.

Authors:  A Williams; Y Qian; C R Chu
Journal:  Osteoarthritis Cartilage       Date:  2010-10-28       Impact factor: 6.576

2.  Nondestructive imaging of human cartilage glycosaminoglycan concentration by MRI.

Authors:  A Bashir; M L Gray; J Hartke; D Burstein
Journal:  Magn Reson Med       Date:  1999-05       Impact factor: 4.668

3.  Regional variations of collagen orientation in normal and diseased articular cartilage and subchondral bone determined using small angle X-ray scattering (SAXS).

Authors:  C J Moger; R Barrett; P Bleuet; D A Bradley; R E Ellis; E M Green; K M Knapp; P Muthuvelu; C P Winlove
Journal:  Osteoarthritis Cartilage       Date:  2007-02-15       Impact factor: 6.576

4.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

5.  Simultaneous estimation of T(2) and apparent diffusion coefficient in human articular cartilage in vivo with a modified three-dimensional double echo steady state (DESS) sequence at 3 T.

Authors:  Ernesto Staroswiecki; Kristin L Granlund; Marcus T Alley; Garry E Gold; Brian A Hargreaves
Journal:  Magn Reson Med       Date:  2011-12-16       Impact factor: 4.668

Review 6.  Cartilage MRI T2 relaxation time mapping: overview and applications.

Authors:  Timothy J Mosher; Bernard J Dardzinski
Journal:  Semin Musculoskelet Radiol       Date:  2004-12       Impact factor: 1.777

7.  Comparison of T1rho relaxation times between ACL-reconstructed knees and contralateral uninjured knees.

Authors:  Alexander A Theologis; Bryan Haughom; Fei Liang; Yu Zhang; Sharmila Majumdar; Thomas M Link; C Benjamin Ma; Xiaojuan Li
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-01-31       Impact factor: 4.342

8.  Delayed gadolinium-enhanced MR to determine glycosaminoglycan concentration in reparative cartilage after autologous chondrocyte implantation: preliminary results.

Authors:  Atsuya Watanabe; Yuichi Wada; Takayuki Obata; Takuya Ueda; Mitsuru Tamura; Hiroo Ikehira; Hideshige Moriya
Journal:  Radiology       Date:  2006-02-16       Impact factor: 11.105

9.  The organization of collagen in cryofractured rabbit articular cartilage: a scanning electron microscopic study.

Authors:  J M Clark
Journal:  J Orthop Res       Date:  1985       Impact factor: 3.494

10.  Long-term results 8 years after autologous osteochondral transplantation: 7 T gagCEST and sodium magnetic resonance imaging with morphological and clinical correlation.

Authors:  I Krusche-Mandl; B Schmitt; L Zak; S Apprich; S Aldrian; V Juras; K M Friedrich; S Marlovits; M Weber; S Trattnig
Journal:  Osteoarthritis Cartilage       Date:  2012-02-04       Impact factor: 6.576

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  45 in total

1.  Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative.

Authors:  Beth G Ashinsky; Mustapha Bouhrara; Christopher E Coletta; Benoit Lehallier; Kenneth L Urish; Ping-Chang Lin; Ilya G Goldberg; Richard G Spencer
Journal:  J Orthop Res       Date:  2017-03-23       Impact factor: 3.494

Review 2.  MRI of the hip for the evaluation of femoroacetabular impingement; past, present, and future.

Authors:  Geoffrey M Riley; Emily J McWalter; Kathryn J Stevens; Marc R Safran; Riccardo Lattanzi; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2014-08-23       Impact factor: 4.813

3.  Effect of intra-articular injection of intermediate-weight hyaluronic acid on hip and knee cartilage: in-vivo evaluation using T2 mapping.

Authors:  Giulio Ferrero; Luca Maria Sconfienza; Francesco Fiz; Emanuele Fabbro; Angelo Corazza; Daniele Dettore; Davide Orlandi; Carlo Castellazzo; Stefano Tornago; Giovanni Serafini
Journal:  Eur Radiol       Date:  2018-01-09       Impact factor: 5.315

4.  Magnetic Resonance Imaging Score and Classification System (AMADEUS) for Assessment of Preoperative Cartilage Defect Severity.

Authors:  Pia M Jungmann; Götz H Welsch; Mats Brittberg; Siegfried Trattnig; Sepp Braun; Andreas B Imhoff; Gian M Salzmann
Journal:  Cartilage       Date:  2016-08-25       Impact factor: 4.634

5.  Racial differences in biochemical knee cartilage composition between African-American and Caucasian-American women with 3 T MR-based T2 relaxation time measurements--data from the Osteoarthritis Initiative.

Authors:  A Yu; U Heilmeier; M Kretzschmar; G B Joseph; F Liu; H Liebl; C E McCulloch; M C Nevitt; N E Lane; T M Link
Journal:  Osteoarthritis Cartilage       Date:  2015-04-30       Impact factor: 6.576

Review 6.  Femoro-acetabular impingement clinical research: is a composite outcome the answer?

Authors:  Olufemi R Ayeni; Mikael Sansone; Darren de Sa; Nicole Simunovic; Asheesh Bedi; Bryan T Kelly; Forough Farrokhyar; Jon Karlsson
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-01-25       Impact factor: 4.342

7.  [Morphological and functional cartilage imaging].

Authors:  C Rehnitz; M-A Weber
Journal:  Orthopade       Date:  2015-04       Impact factor: 1.087

Review 8.  Quantitative techniques for musculoskeletal MRI at 7 Tesla.

Authors:  Neal K Bangerter; Meredith D Taylor; Grayson J Tarbox; Antony J Palmer; Daniel J Park
Journal:  Quant Imaging Med Surg       Date:  2016-12

9.  Ultrashort time-to-echo quantitative magnetic resonance imaging of the triangular fibrocartilage: differences in position.

Authors:  Akitaka Fujisaki; Takatoshi Aoki; Hidekuni Narimatsu; Chie Kuwahara; Atsushi Nozaki; Kunitaka Menuki; Akinori Sakai; Yukunori Korogi
Journal:  Eur Radiol       Date:  2018-09-03       Impact factor: 5.315

10.  Image interpolation improves the zonal analysis of cartilage T2 relaxation in MRI.

Authors:  Farid Badar; Yang Xia
Journal:  Quant Imaging Med Surg       Date:  2017-04
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