Multiparametric MR Investigation of Proteoglycan Diffusivity, T

T2-weighted MRS chemical exchange saturation transfer diffusion-weighted MRS extracellular matrix intervertebral disc degeneration proteoglycan

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
05 2020
Historique:
received: 19 07 2019
revised: 11 10 2019
accepted: 11 10 2019
pubmed: 12 11 2019
medline: 15 5 2021
entrez: 12 11 2019
Statut: ppublish

Résumé

Proteoglycan (PG) is a major component of the intervertebral disc extracellular matrix (ECM) that acts to hydrate the disc nucleus. Early detection of PG degradation is valuable for both diagnosis and preclinical research of intervertebral disc degeneration (IVDD). To compare different MR techniques for detecting early degradative changes of PG in IVDD. Prospective. Glycosaminoglycan (GAG) phantom/bovine discs with papain injection and human cadaveric discs. 7T/diffusion-weighted MR spectroscopy (DW-MRS), T DW-MRS, T T-tests were conducted to measure the differences of PG properties between pre- and post-enzyme injection. Linear regression and mixed-effects models were used to assess the associations among different PG properties as well as the degeneration grades in human cadaveric discs. In bovine discs, PG diffusivity increased most rapidly after the enzyme was injected into the disc nucleus (12 hours postinjection, t = 5.76, P = 0.0007). The PG T PG diffusivity is a direct biomarker for early ECM degradation, while PG distribution can be an indirect biomarker for early IVDD. 2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1390-1400.

Sections du résumé

BACKGROUND
Proteoglycan (PG) is a major component of the intervertebral disc extracellular matrix (ECM) that acts to hydrate the disc nucleus. Early detection of PG degradation is valuable for both diagnosis and preclinical research of intervertebral disc degeneration (IVDD).
PURPOSE
To compare different MR techniques for detecting early degradative changes of PG in IVDD.
STUDY TYPE
Prospective.
PHANTOM/SPECIMEN
Glycosaminoglycan (GAG) phantom/bovine discs with papain injection and human cadaveric discs.
FIELD STRENGTH/SEQUENCES
7T/diffusion-weighted MR spectroscopy (DW-MRS), T
ASSESSMENT
DW-MRS, T
STATISTICAL TESTS
T-tests were conducted to measure the differences of PG properties between pre- and post-enzyme injection. Linear regression and mixed-effects models were used to assess the associations among different PG properties as well as the degeneration grades in human cadaveric discs.
RESULTS
In bovine discs, PG diffusivity increased most rapidly after the enzyme was injected into the disc nucleus (12 hours postinjection, t = 5.76, P = 0.0007). The PG T
DATA CONCLUSION
PG diffusivity is a direct biomarker for early ECM degradation, while PG distribution can be an indirect biomarker for early IVDD.
LEVEL OF EVIDENCE
2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1390-1400.

Identifiants

pubmed: 31710416
doi: 10.1002/jmri.26979
doi:

Substances chimiques

Proteoglycans 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1390-1400

Informations de copyright

© 2019 International Society for Magnetic Resonance in Medicine.

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Auteurs

Min Wang (M)

College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China.
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.
Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA.

Adrian Tsang (A)

Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China.
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.

Vivian Tam (V)

School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, SAR, China.

Danny Chan (D)

School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, SAR, China.

Peng Cao (P)

Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China.
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.

Ed X Wu (EX)

Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China.
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China.

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