Magnetic resonance imaging of human knee joint functionality under variable compressive in-situ loading and axis alignment.


Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
10 2020
Historique:
received: 12 03 2020
revised: 23 04 2020
accepted: 25 05 2020
entrez: 22 9 2020
pubmed: 23 9 2020
medline: 15 5 2021
Statut: ppublish

Résumé

Magnetic resonance imaging (MRI) under mechanical loading, commonly referred to as stress MRI, allows the evaluation of functional properties of intra- and periarticular tissues non-invasively beyond static assessment. Quantitative MRI can identify physiological and pathological responses to loading as indication of, potentially treatable, early degeneration and load transmission failure. Therefore, we have developed and validated an MRI-compatible pressure-controlled axial loading device to compress human knee specimens under variable loading intensity and axis deviation. Ten structurally intact human knee specimens (mean age 83.2 years) were studied on a 3.0T scanner (Achieva, Philips). Proton density-weighted fat-saturated turbo spin-echo and high-resolution 3D water selective 3D gradient-echo MRI scans were acquired sequentially at 10° joint flexion in seven configurations: unloaded and then at approximately half and full body weight loading in neutral, 10° varus and 10° valgus alignment, respectively. Following manual segmentation in both femorotibial compartments, cartilage thickness (ThC) was determined as well as meniscus extrusion (ExM). These measures were compared to computed tomography scans, histological grading (Mankin and Pauli scores), and biomechanical properties (Instantaneous Young's Modulus). Compartmental, regional and subregional changes in ThC and ExM were reflective of loading intensity and joint alignment, with the greatest changes observed in the medial compartment during varus and in the lateral compartment during valgus loading. These were not significantly associated with the histological tissue status or biomechanical properties. In conclusion, this study explores the physiological in-situ response of knee cartilage and meniscus, based on stress MRI, and as a function of loading intensity, joint alignment, histological tissue status, and biomechanical properties, as another step towards clinical implementation.

Identifiants

pubmed: 32957197
pii: S1751-6161(20)30444-6
doi: 10.1016/j.jmbbm.2020.103890
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

103890

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Philipp Schad (P)

Department of Diagnostic and Interventional Radiology, Aachen University Hospital, Aachen, Germany.

Maximilian Wollenweber (M)

Department of Diagnostic and Interventional Radiology, Aachen University Hospital, Aachen, Germany.

Johannes Thüring (J)

Department of Diagnostic and Interventional Radiology, Aachen University Hospital, Aachen, Germany.

Justus Schock (J)

Institute of Diagnostic and Interventional Radiology, University Hospital Düsseldorf, Düsseldorf, Germany; Institute of Computer Vision and Imaging, RWTH Aachen University, Aachen, Germany.

Jörg Eschweiler (J)

Department of Orthopaedic Surgery, Aachen University Hospital, Aachen, Germany.

Giulia Palm (G)

Helmholtz-Institute for Biomedical Engineering, Chair of Medical Engineering, RWTH Aachen University, Aachen, Germany.

Klaus Radermacher (K)

Helmholtz-Institute for Biomedical Engineering, Chair of Medical Engineering, RWTH Aachen University, Aachen, Germany.

Felix Eckstein (F)

Department of Imaging & Functional Musculoskeletal Research, Institute of Anatomy & Cell Biology, Paracelsus Medical University Salzburg & Nuremberg, Salzburg, Austria; Chondrometrics GmbH, Ainring, Germany; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University, Salzburg, Austria.

Andreas Prescher (A)

Institute of Molecular and Cellular Anatomy, RWTH Aachen University, Aachen, Germany.

Christiane Kuhl (C)

Department of Diagnostic and Interventional Radiology, Aachen University Hospital, Aachen, Germany.

Daniel Truhn (D)

Department of Diagnostic and Interventional Radiology, Aachen University Hospital, Aachen, Germany; Institute of Computer Vision and Imaging, RWTH Aachen University, Aachen, Germany.

Sven Nebelung (S)

Institute of Diagnostic and Interventional Radiology, University Hospital Düsseldorf, Düsseldorf, Germany. Electronic address: sven.nebelung@med.uni-duesseldorf.de.

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