Literature DB >> 29175373

Non-invasive T1ρ mapping of the human cartilage response to loading and unloading.

S Nebelung1, B Sondern2, H Jahr3, M Tingart4, M Knobe5, J Thüring6, C Kuhl7, D Truhn8.   

Abstract

OBJECTIVE: To define the physiological response to sequential loading and unloading in histologically intact human articular cartilage using serial T1ρ mapping, as T1ρ is considered to indicate the tissue's macromolecular content.
METHOD: 18 macroscopically intact cartilage-bone samples were obtained from the central lateral femoral condyles of 18 patients undergoing total knee replacement. Serial T1ρ mapping was performed on a clinical 3.0-T MRI system using a modified prostate coil. Spin-lock multiple gradient-echo sequences prior to, during and after standardized indentation loading (displacement controlled, strain 20%) were used to obtain seven serial T1ρ maps: unloaded (δ0), quasi-statically loaded (indentation1-indentation3) and under subsequent relaxation (relaxation1-relaxation3). After manual segmentation, zonal and regional regions-of-interest were defined. ROI-specific relative changes were calculated and statistically assessed using paired t-tests. Histological (Mankin classification) and biomechanical (unconfined compression) evaluations served as references.
RESULTS: All samples were histologically and biomechanically grossly intact (Mankin sum: 1.8 ± 1.2; Young's Modulus: 0.7 ± 0.4 MPa). Upon loading, T1ρ consistently increased throughout the entire sample thickness, primarily subpistonally (indentation1 [M ± SD]: 9.5 ± 7.8% [sub-pistonal area, SPA] vs 4.2 ± 5.8% [peri-pistonal area, PPA]; P < 0.001). T1ρ further increased with ongoing loading (indentation3: 14.1 ± 8.1 [SPA] vs 7.7 ± 5.9% [PPA]; P < 0.001). Even upon unloading (i.e., relaxation), T1ρ persistently increased in time.
CONCLUSION: Serial T1ρ-mapping reveals distinct and complex zonal and regional changes in articular cartilage as a function of loading and unloading. Thereby, longitudinal adaptive processes in hyaline cartilage become evident, which may be used for the tissue's non-invasive functional characterization by T1ρ.
Copyright © 2017 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage; Functional properties; Indentation; Magnetic resonance imaging; Mechanical loading; T1ρ

Mesh:

Year:  2017        PMID: 29175373     DOI: 10.1016/j.joca.2017.11.009

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  5 in total

1.  Detection of Early-Stage Degeneration in Human Articular Cartilage by Multiparametric MR Imaging Mapping of Tissue Functionality.

Authors:  Sven Nebelung; Manuel Post; Matthias Knobe; Markus Tingart; Pieter Emans; Johannes Thüring; Christiane Kuhl; Daniel Truhn
Journal:  Sci Rep       Date:  2019-04-11       Impact factor: 4.379

2.  Functional MRI Mapping of Human Meniscus Functionality and its Relation to Degeneration.

Authors:  Sven Nebelung; Lisa Dötsch; Dhaval Shah; Daniel Benjamin Abrar; Kevin Linka; Matthias Knobe; Philipp Sewerin; Johannes Thüring; Christiane Kuhl; Daniel Truhn
Journal:  Sci Rep       Date:  2020-02-12       Impact factor: 4.379

3.  A serial multiparametric quantitative magnetic resonance imaging study to assess proteoglycan depletion of human articular cartilage and its effects on functionality.

Authors:  Tobias Hafner; Justus Schock; Manuel Post; Daniel Benjamin Abrar; Philipp Sewerin; Kevin Linka; Matthias Knobe; Christiane Kuhl; Daniel Truhn; Sven Nebelung
Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

4.  Longitudinal T2 Mapping and Texture Feature Analysis in the Detection and Monitoring of Experimental Post-Traumatic Cartilage Degeneration.

Authors:  Marc Sebastian Huppertz; Justus Schock; Karl Ludger Radke; Daniel Benjamin Abrar; Manuel Post; Christiane Kuhl; Daniel Truhn; Sven Nebelung
Journal:  Life (Basel)       Date:  2021-03-05

5.  Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks.

Authors:  Gustav Müller-Franzes; Teresa Nolte; Malin Ciba; Justus Schock; Firas Khader; Andreas Prescher; Lena Marie Wilms; Christiane Kuhl; Sven Nebelung; Daniel Truhn
Journal:  Diagnostics (Basel)       Date:  2022-03-11
  5 in total

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