Subject‐specific biomechanical analysis to estimate locations susceptible to osteoarthritis : finite element modeling and MRI follow-up of ACL reconstructed patients
Bolcos, Paul O.; Mononen, Mika E.; Roach, Koren E.; Tanaka, Matthew S.; Suomalainen, Juha‐Sampo; Mikkonen, Santtu; Nissi, Mikko J.; Töyräs, Juha; Link, Thomas M.; Souza, Richard B.; Majumdar, Sharmila; Ma, C. Benjamin; Li, Xiaojuan; Korhonen, Rami K (2021-11-24)
Bolcos, PO, Mononen, ME, Roach, KE, et al. 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. doi:10.1002/jor.25218
© 2021 Orthopaedic Research Society. Published by Wiley Periodicals LLC. This is the peer reviewed version of the following article: Bolcos, PO, Mononen, ME, Roach, KE, et al. 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, which has been published in final form at http://dx.doi.org/10.1002/jor.25218. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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https://urn.fi/URN:NBN:fi-fe2023030229268
Tiivistelmä
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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