Nucleus pulposus structure and function assessed in shear using magnetic resonance elastography, quantitative MRI, and rheometry.

intervertebral disc magnetic resonance elastography shear properties

Journal

JOR spine
ISSN: 2572-1143
Titre abrégé: JOR Spine
Pays: United States
ID NLM: 101722350

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 10 11 2023
revised: 04 04 2024
accepted: 15 04 2024
medline: 14 5 2024
pubmed: 14 5 2024
entrez: 14 5 2024
Statut: epublish

Résumé

In vivo quantification of the structure-function relationship of the intervertebral disc (IVD) via quantitative MRI has the potential to aid objective stratification of disease and evaluation of restorative therapies. Magnetic resonance elastography (MRE) is an imaging technique that assesses tissue shear properties and combined with quantitative MRI metrics reflective of composition can inform structure-function of the IVD. The objectives of this study were to (1) compare MRE- and rheometry-derived shear modulus in agarose gels and nucleus pulposus (NP) tissue and (2) correlate MRE and rheological measures of NP tissue with composition and quantitative MRI. MRE and MRI assessment (i.e., T1ρ and T2 mapping) of agarose samples (2%, 3%, and 4% (w/v); MRE- and rheometry-derived shear moduli were greater at 100 Hz than at 80 Hz in all agarose and NP tissue samples. Additionally, all samples with lower water content had higher complex shear moduli. There was a significant correlation between MRE- and rheometry-derived modulus values for homogenous agarose samples. T1ρ and T2 relaxation times for agarose and tissue were negatively correlated with complex shear modulus derived from both techniques. For NP tissue, shear modulus was positively correlated with GAG/wet-weight and negatively correlated with %water content. This work demonstrates that MRE can assess hydration-induced changes in IVD shear properties and further highlights the structure-function relationship between composition and shear mechanical behaviors of NP tissue.

Sections du résumé

Background UNASSIGNED
In vivo quantification of the structure-function relationship of the intervertebral disc (IVD) via quantitative MRI has the potential to aid objective stratification of disease and evaluation of restorative therapies. Magnetic resonance elastography (MRE) is an imaging technique that assesses tissue shear properties and combined with quantitative MRI metrics reflective of composition can inform structure-function of the IVD. The objectives of this study were to (1) compare MRE- and rheometry-derived shear modulus in agarose gels and nucleus pulposus (NP) tissue and (2) correlate MRE and rheological measures of NP tissue with composition and quantitative MRI.
Method UNASSIGNED
MRE and MRI assessment (i.e., T1ρ and T2 mapping) of agarose samples (2%, 3%, and 4% (w/v);
Results UNASSIGNED
MRE- and rheometry-derived shear moduli were greater at 100 Hz than at 80 Hz in all agarose and NP tissue samples. Additionally, all samples with lower water content had higher complex shear moduli. There was a significant correlation between MRE- and rheometry-derived modulus values for homogenous agarose samples. T1ρ and T2 relaxation times for agarose and tissue were negatively correlated with complex shear modulus derived from both techniques. For NP tissue, shear modulus was positively correlated with GAG/wet-weight and negatively correlated with %water content.
Conclusion UNASSIGNED
This work demonstrates that MRE can assess hydration-induced changes in IVD shear properties and further highlights the structure-function relationship between composition and shear mechanical behaviors of NP tissue.

Identifiants

pubmed: 38741919
doi: 10.1002/jsp2.1335
pii: JSP21335
pmc: PMC11089841
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e1335

Informations de copyright

© 2024 The Authors. JOR Spine published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Megan Co (M)

Department of Biomedical Engineering The Ohio State University Columbus Ohio USA.

Brian Raterman (B)

Department of Radiology The Ohio State University Wexner Medical Center Columbus Ohio USA.

Brett Klamer (B)

Department of Biomedical Informatics, Center for Biostatistics The Ohio State University Columbus Ohio USA.

Arunark Kolipaka (A)

Department of Radiology The Ohio State University Wexner Medical Center Columbus Ohio USA.

Benjamin Walter (B)

Department of Biomedical Engineering The Ohio State University Columbus Ohio USA.
Department of Orthopaedics The Ohio State University Wexner Medical Center Columbus Ohio USA.

Classifications MeSH