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Bolcos PO, Mononen ME, Roach KE, Tanaka MS, Suomalainen JS, Mikkonen S, Nissi MJ, Töyräs J, Link TM, Souza R, Majumdar S, Ma B, Li X, Korhonen RK. Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients. J Orthop Res 2022; 40:1744-1755. [PMID: 34820897 PMCID: PMC9127000 DOI: 10.1002/jor.25218] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 09/16/2021] [Accepted: 11/09/2021] [Indexed: 02/04/2023]
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.
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Affiliation(s)
- Paul O. Bolcos
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland,Corresponding author: Paul Octavian Bolcos, Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211 Kuopio, Finland, Tel. +358 45 2290653,
| | - Mika E. Mononen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Koren E. Roach
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | - Matthew S. Tanaka
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | | | - Santtu Mikkonen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Mikko J. Nissi
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland,Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Juha Töyräs
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland,School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia,Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio Finland
| | - Thomas M. Link
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | - Richard Souza
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | - Sharmila Majumdar
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | - Benjamin Ma
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Unites States of America
| | - Xiaojuan Li
- Department of Biomedical Engineering, Cleveland Clinic, Cleveland, Unites States of America
| | - Rami K Korhonen
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland,Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland
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Bolcos PO, Mononen ME, Mohammadi A, Ebrahimi M, Tanaka MS, Samaan MA, Souza RB, Li X, Suomalainen JS, Jurvelin JS, Töyräs J, Korhonen RK. Comparison between kinetic and kinetic-kinematic driven knee joint finite element models. Sci Rep 2018; 8:17351. [PMID: 30478347 PMCID: PMC6255758 DOI: 10.1038/s41598-018-35628-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/08/2018] [Indexed: 12/11/2022] Open
Abstract
Use of knee joint finite element models for diagnostic purposes is challenging due to their complexity. Therefore, simpler models are needed for studies where a high number of patients need to be analyzed, without compromising the results of the model. In this study, more complex, kinetic (forces and moments) and simpler, kinetic-kinematic (forces and angles) driven finite element models were compared during the stance phase of gait. Patella and tendons were included in the most complex model, while they were absent in the simplest model. The greatest difference between the most complex and simplest models was observed in the internal-external rotation and axial joint reaction force, while all other rotations, translations and joint reaction forces were similar to one another. In terms of cartilage stresses and strains, the simpler models behaved similarly with the more complex models in the lateral joint compartment, while minor differences were observed in the medial compartment at the beginning of the stance phase. We suggest that it is feasible to use kinetic-kinematic driven knee joint models with a simpler geometry in studies with a large cohort size, particularly when analyzing cartilage responses and failures related to potential overloads.
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Affiliation(s)
- Paul O Bolcos
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland.
| | - Mika E Mononen
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
| | - Ali Mohammadi
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
| | - Mohammadhossein Ebrahimi
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
| | - Matthew S Tanaka
- Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94158, San Francisco, USA
| | - Michael A Samaan
- Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94158, San Francisco, USA
- Dept. of Kinesiology & Health Promotion, University of Kentucky, Lexington, KY, 40506, USA
| | - Richard B Souza
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, CA, 94158, USA
| | - Xiaojuan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94158, San Francisco, USA
- Program of Advanced Musculoskeletal Imaging (PAMI), Department of Biomedical Engineering, Cleveland Clinic, OH, 44195, Cleveland, USA
| | - Juha-Sampo Suomalainen
- Diagnostic Imaging Centre, Kuopio University Hospital, POB 100, FI-70029, KUH, Kuopio, Finland
| | - Jukka S Jurvelin
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
| | - Juha Töyräs
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
- Diagnostic Imaging Centre, Kuopio University Hospital, POB 100, FI-70029, KUH, Kuopio, Finland
- School of Information Technology and Electrical Engineering, The University of Queensland, QLD-4072, Brisbane, Australia
| | - Rami K Korhonen
- Department of Applied Physics, University of Eastern Finland, POB 1627, FI-70211, Kuopio, Finland
- Diagnostic Imaging Centre, Kuopio University Hospital, POB 100, FI-70029, KUH, Kuopio, Finland
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