Literature DB >> 34820897

Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients.

Paul O Bolcos1, Mika E Mononen1, Koren E Roach2, Matthew S Tanaka2, Juha-Sampo Suomalainen3, Santtu Mikkonen1, Mikko J Nissi1,4, Juha Töyräs1,5,6, Thomas M Link2, Richard B Souza7, Sharmila Majumdar2, C Benjamin Ma8, Xiaojuan Li9, Rami K Korhonen1.   

Abstract

The aims of this case-control study were to: (1) Identify cartilage locations and volumes at risk of osteoarthritis (OA) using subject-specific finite element (FE) models; (2) Quantify the relationships between the simulated biomechanical parameters and T2 and T1ρ relaxation times of magnetic resonance imaging (MRI). We created subject-specific FE models for seven patients with anterior cruciate ligament (ACL) reconstruction and six controls based on a previous proof-of-concept study. We identified locations and cartilage volumes susceptible to OA, based on maximum principal stresses and absolute maximum shear strains in cartilage exceeding thresholds of 7 MPa and 32%, respectively. The locations and volumes susceptible to OA were compared qualitatively and quantitatively against 2-year longitudinal changes in T2 and T1ρ relaxation times. The degeneration volumes predicted by the FE models, based on excessive maximum principal stresses, were significantly correlated (r = 0.711, p < 0.001) with the degeneration volumes determined from T2 relaxation times. There was also a significant correlation between the predicted stress values and changes in T2 relaxation time (r = 0.649, p < 0.001). Absolute maximum shear strains and changes in T1ρ relaxation time were not significantly correlated. Five out of seven patients with ACL reconstruction showed excessive maximum principal stresses in either one or both tibial cartilage compartments, in agreement with follow-up information from MRI. Expectedly, for controls, the FE models and follow-up information showed no degenerative signs. Our results suggest that the presented modelling methodology could be applied to prospectively identify ACL reconstructed patients at risk of biomechanically driven OA, particularly by the analysis of maximum principal stresses of cartilage.
© 2021 Orthopaedic Research Society. Published by Wiley Periodicals LLC.

Entities:  

Keywords:  biomechanics; cartilage; finite eelement analysis; gait; osteoarthritis-posttraumatic; reconstruction

Mesh:

Year:  2021        PMID: 34820897      PMCID: PMC9127000          DOI: 10.1002/jor.25218

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.102


  47 in total

1.  Causes of mechanically induced collagen damage in articular cartilage.

Authors:  Wouter Wilson; Christine van Burken; Corrinus van Donkelaar; Pieter Buma; Bert van Rietbergen; Rik Huiskes
Journal:  J Orthop Res       Date:  2006-02       Impact factor: 3.494

2.  Comparison of different material models of articular cartilage in 3D computational modeling of the knee: Data from the Osteoarthritis Initiative (OAI).

Authors:  Olesya Klets; Mika E Mononen; Petri Tanska; Miika T Nieminen; Rami K Korhonen; Simo Saarakkala
Journal:  J Biomech       Date:  2016-10-25       Impact factor: 2.712

3.  Poor functional performance 1 year after ACL reconstruction increases the risk of early osteoarthritis progression.

Authors:  Brooke Patterson; Adam Geoffrey Culvenor; Christian J Barton; Ali Guermazi; Joshua Stefanik; Hayden G Morris; Timothy S Whitehead; Kay M Crossley
Journal:  Br J Sports Med       Date:  2020-04-10       Impact factor: 13.800

4.  T(1rho) relaxation can assess longitudinal proteoglycan loss from articular cartilage in vitro.

Authors:  U Duvvuri; S Kudchodkar; R Reddy; J S Leigh
Journal:  Osteoarthritis Cartilage       Date:  2002-11       Impact factor: 6.576

5.  T1rho, T2 and focal knee cartilage abnormalities in physically active and sedentary healthy subjects versus early OA patients--a 3.0-Tesla MRI study.

Authors:  Robert Stahl; Anthony Luke; Xiaojuan Li; Julio Carballido-Gamio; C Benjamin Ma; Sharmila Majumdar; Thomas M Link
Journal:  Eur Radiol       Date:  2008-08-16       Impact factor: 5.315

6.  Proteoglycan and collagen sensitive MRI evaluation of normal and degenerated articular cartilage.

Authors:  M J Nissi; J Töyräs; M S Laasanen; J Rieppo; S Saarakkala; R Lappalainen; J S Jurvelin; M T Nieminen
Journal:  J Orthop Res       Date:  2004-05       Impact factor: 3.494

Review 7.  Quantitative magnetic resonance imaging of articular cartilage in osteoarthritis.

Authors:  G Blumenkrantz; S Majumdar
Journal:  Eur Cell Mater       Date:  2007-05-15       Impact factor: 3.942

8.  Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: A computational proof-of-concept study with MRI follow-up.

Authors:  Gustavo A Orozco; Paul Bolcos; Ali Mohammadi; Matthew S Tanaka; Mingrui Yang; Thomas M Link; Benjamin Ma; Xiaojuan Li; Petri Tanska; Rami K Korhonen
Journal:  J Orthop Res       Date:  2020-07-20       Impact factor: 3.102

9.  Development and validation of a computational model of the knee joint for the evaluation of surgical treatments for osteoarthritis.

Authors:  R Mootanah; C W Imhauser; F Reisse; D Carpanen; R W Walker; M F Koff; M W Lenhoff; S R Rozbruch; A T Fragomen; Z Dewan; Y M Kirane; K Cheah; J K Dowell; H J Hillstrom
Journal:  Comput Methods Biomech Biomed Engin       Date:  2014-05-01       Impact factor: 1.763

10.  A Novel Method to Simulate the Progression of Collagen Degeneration of Cartilage in the Knee: Data from the Osteoarthritis Initiative.

Authors:  Mika E Mononen; Petri Tanska; Hanna Isaksson; Rami K Korhonen
Journal:  Sci Rep       Date:  2016-02-24       Impact factor: 4.379

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