Literature DB >> 11108620

Macromolecule and water magnetization exchange modeling in articular cartilage.

P J Lattanzio1, K W Marshall, A Z Damyanovich, H Peemoeller.   

Abstract

Magnetization exchange effects between the matrix macromolecules (e. g., collagen and proteoglycan) and water were examined in normal, deuterated, and proteoglycan-depleted articular cartilage. Relaxation results (T(2), T(1rho), and T(1)) suggested that a four-site exchange scheme provided an accurate model for articular cartilage relaxation and interspin group coupling details. Magnetization exchange within the collagen-bulk-water, proteoglycan-collagen, and collagen fibrillar water-collagen cartilage subsystems were quantified. Although collagen-bulk-water was the largest of the cartilage coupling subsystems ( approximately 90% signal) and is exploited in MRI, the rates of magnetization transfer (MT) within the latter subsystems were appreciably larger. Magnetization exchange rates for proteoglycan-collagen and collagen fibrillar water-collagen were 120 s(-1) and 4.4 s(-1), respectively. The observation of these latter two exchange subsystems suggested potential clinical MRI-MT applications in detecting molecular abnormalities associated with osteoarthritis.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11108620     DOI: 10.1002/1522-2594(200012)44:6<840::aid-mrm4>3.0.co;2-k

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  39 in total

1.  UTE-T2∗ mapping detects sub-clinical meniscus injury after anterior cruciate ligament tear.

Authors:  A Williams; Y Qian; S Golla; C R Chu
Journal:  Osteoarthritis Cartilage       Date:  2012-01-18       Impact factor: 6.576

2.  High-resolution ultrashort echo time (UTE) imaging on human knee with AWSOS sequence at 3.0 T.

Authors:  Yongxian Qian; Ashley A Williams; Constance R Chu; Fernando E Boada
Journal:  J Magn Reson Imaging       Date:  2011-10-14       Impact factor: 4.813

3.  Improved MR-based characterization of engineered cartilage using multiexponential T2 relaxation and multivariate analysis.

Authors:  David A Reiter; Onyi Irrechukwu; Ping-Chang Lin; Somaieh Moghadam; Sarah Von Thaer; Nancy Pleshko; Richard G Spencer
Journal:  NMR Biomed       Date:  2012-01-29       Impact factor: 4.044

Review 4.  MR imaging of articular cartilage physiology.

Authors:  Jung-Ah Choi; Garry E Gold
Journal:  Magn Reson Imaging Clin N Am       Date:  2011-05       Impact factor: 2.266

5.  Quantitative assessment of the supraspinatus tendon on MRI using T2/T2* mapping and shear-wave ultrasound elastography: a pilot study.

Authors:  Konstantin Krepkin; Mary Bruno; José G Raya; Ronald S Adler; Soterios Gyftopoulos
Journal:  Skeletal Radiol       Date:  2016-11-28       Impact factor: 2.199

6.  Magnetization transfer analysis of cartilage repair tissue: a preliminary study.

Authors:  F Palmieri; F De Keyzer; F Maes; I Van Breuseghem
Journal:  Skeletal Radiol       Date:  2006-12       Impact factor: 2.199

7.  Incorporation of Rician noise in the analysis of biexponential transverse relaxation in cartilage using a multiple gradient echo sequence at 3 and 7 Tesla.

Authors:  Mustapha Bouhrara; David A Reiter; Hasan Celik; Jean-Marie Bonny; Vanessa Lukas; Kenneth W Fishbein; Richard G Spencer
Journal:  Magn Reson Med       Date:  2014-02-28       Impact factor: 4.668

8.  Repeatability of ultrashort echo time-based two-component T2* measurements on cartilages in human knee at 3 T.

Authors:  Yongxian Qian; Ashley A Williams; Constance R Chu; Fernando E Boada
Journal:  Magn Reson Med       Date:  2012-10-03       Impact factor: 4.668

9.  UTE bi-component analysis of T2* relaxation in articular cartilage.

Authors:  H Shao; E Y Chang; C Pauli; S Zanganeh; W Bae; C B Chung; G Tang; J Du
Journal:  Osteoarthritis Cartilage       Date:  2015-09-14       Impact factor: 6.576

10.  Multicomponent T2 relaxation analysis in cartilage.

Authors:  David A Reiter; Ping-Chang Lin; Kenneth W Fishbein; Richard G Spencer
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.