Literature DB >> 26303166

An MRI-compatible loading device to assess knee joint cartilage deformation: Effect of preloading and inter-test repeatability.

Hongsheng Wang1, Matthew F Koff2, Hollis G Potter2, Russell F Warren3, Scott A Rodeo3, Suzanne A Maher4.   

Abstract

It has been suggested that the extent and location of cartilage deformation within a joint under compressive loading may be predictive of predisposition to further degeneration. To explore this relationship in detail requires the quantification of cartilage deformation under controlled loads on a per-patient basis in a longitudinal manner. Our objectives were (1) to design a device capable of applying controllable axial loads while ensuring repeatable within-patient tibiofemoral positioning during magnetic resonance imaging (MRI) scans and (2) to determine the duration for which load should be maintained prior to the image acquisition, for a reproducible measurement of cartilage deformation, within the restraints of a clinical setting. A displacement control loading device was manufactured from MRI-compatible materials and tested on four volunteers for the following five scans: an unloaded scan, two repeat immediate scans which were started immediately after the application of 50% body weight, and two repeat delayed scans started 12 min after load application. Outcome measures included within-patient changes in tibiofemoral position and cartilage deformation between repeat loaded scans. The differences in tibiofemoral position between repeat loaded scans were <1mm in translation and <2° in rotation. Cartilage deformations were more consistent in the delayed scans compared to the immediate scans. We conclude that our loading device can ensure repeatable tibiofemoral positioning to allow for longitudinal studies, and the delayed scan may enable us to obtain more reproducible measurements of cartilage deformation in a clinical setting.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage thickness; Knee contact; Knee modeling; Osteoarthritis

Mesh:

Year:  2015        PMID: 26303166     DOI: 10.1016/j.jbiomech.2015.08.006

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Reducing uncertainty when using knee-specific finite element models by assessing the effect of input parameters.

Authors:  Hongqiang Guo; Thomas J Santner; Amy L Lerner; Suzanne A Maher
Journal:  J Orthop Res       Date:  2017-04-13       Impact factor: 3.494

2.  Effect of normal gait on in vivo tibiofemoral cartilage strains.

Authors:  Nimit K Lad; Betty Liu; Pramodh K Ganapathy; Gangadhar M Utturkar; E Grant Sutter; Claude T Moorman; William E Garrett; Charles E Spritzer; Louis E DeFrate
Journal:  J Biomech       Date:  2016-06-27       Impact factor: 2.712

Review 3.  Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review.

Authors:  Saeed Jerban; Eric Y Chang; Jiang Du
Journal:  Magn Reson Imaging       Date:  2019-10-25       Impact factor: 2.546

4.  Detecting Articular Cartilage and Meniscus Deformation Effects Using Magnetization Transfer Ultrashort Echo Time (MT-UTE) Modeling during Mechanical Load Application: Ex Vivo Feasibility Study.

Authors:  Saeed Jerban; Akhil Kasibhatla; Yajun Ma; Mei Wu; Yanjun Chen; Tan Guo; Lidi Wan; Nikolaus Szeverenyi; Eric Y Chang; Jiang Du
Journal:  Cartilage       Date:  2020-12-08       Impact factor: 3.117

5.  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

6.  An MRI-compatible varus-valgus loading device for whole-knee joint functionality assessment based on compartmental compression: a proof-of-concept study.

Authors:  Oliver Said; Justus Schock; Nils Krämer; Johannes Thüring; Lea Hitpass; Philipp Schad; Christiane Kuhl; Daniel Abrar; Daniel Truhn; Sven Nebelung
Journal:  MAGMA       Date:  2020-04-20       Impact factor: 2.310

7.  The MRI-based 3D morphologic changes of knee meniscus under knee weight-bearing and early flexion conditions.

Authors:  Tong Liu; Xianyue Shen; Qingming Ji; Jianlin Xiao; Jianlin Zuo; Zhongli Gao
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

8.  Design and validation of a semi-automatic bone segmentation algorithm from MRI to improve research efficiency.

Authors:  Lauren N Heckelman; Brian J Soher; Charles E Spritzer; Brian D Lewis; Louis E DeFrate
Journal:  Sci Rep       Date:  2022-05-12       Impact factor: 4.996

9.  Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis.

Authors:  Sandeep Panwar Jogi; Rafeek Thaha; Sriram Rajan; Vidur Mahajan; Vasantha Kumar Venugopal; Anup Singh; Amit Mehndiratta
Journal:  J Transl Med       Date:  2021-07-19       Impact factor: 5.531

10.  Low field magnetic resonance imaging of the equine distal interphalangeal joint: Comparison between weight-bearing and non-weight-bearing conditions.

Authors:  Laurence Evrard; Fabrice Audigié; Lélia Bertoni; Sandrine Jacquet; Jean-Marie Denoix; Valeria Busoni
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

  10 in total

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