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Day GA, Jones AC, Mengoni M, Wilcox RK. A Finite Element Model to Investigate the Stability of Osteochondral Grafts Within a Human Tibiofemoral Joint. Ann Biomed Eng 2024; 52:1393-1402. [PMID: 38446329 PMCID: PMC10995060 DOI: 10.1007/s10439-024-03464-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 01/31/2024] [Indexed: 03/07/2024]
Abstract
Osteochondral grafting has demonstrated positive outcomes for treating articular cartilage defects by replacing the damaged region with a cylindrical graft consisting of bone with a layer of cartilage. However, factors that cause graft subsidence are not well understood. The aim of this study was to develop finite element (FE) models of osteochondral grafts within a tibiofemoral joint, suitable for an investigation of parameters affecting graft stability. Cadaveric femurs were used to experimentally calibrate the bone properties and graft-bone frictional forces for use in corresponding image-based FE models, generated from µCT scan data. Effects of cartilage defects and osteochondral graft repair were measured by examining contact pressure changes using further in vitro tests. Here, six defects were created in the femoral condyles, which were subsequently treated with osteochondral autografts or metal pins. Matching image-based FE models were created, and the contact patches were compared. The bone material properties and graft-bone frictional forces were successfully calibrated from the initial tests with good resulting levels of agreement (CCC = 0.87). The tibiofemoral joint experiment provided a range of cases that were accurately described in the resultant pressure maps and were well represented in the FE models. Cartilage defects and repair quality were experimentally measurable with good agreement in the FE model pressure maps. Model confidence was built through extensive validation and sensitivity testing. It was found that specimen-specific properties were required to accurately represent graft behaviour. The final models produced are suitable for a range of parametric testing to investigate immediate graft stability.
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Affiliation(s)
- Gavin A Day
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, Leeds, UK.
| | - Alison C Jones
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, Leeds, UK
| | - Marlène Mengoni
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, Leeds, UK
| | - Ruth K Wilcox
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, Leeds, UK
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2
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Imhauser CW, Baumann AP, Liu XC, Bischoff JE, Verdonschot N, Fregly BJ, Elmasry SS, Abdollahi NN, Hume DR, Rooks NB, Schneider MTY, Zaylor W, Besier TF, Halloran JP, Shelburne KB, Erdemir A. Reproducibility in modeling and simulation of the knee: Academic, industry, and regulatory perspectives. J Orthop Res 2023; 41:2569-2578. [PMID: 37350016 DOI: 10.1002/jor.25652] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 04/23/2023] [Accepted: 05/30/2023] [Indexed: 06/24/2023]
Abstract
Stakeholders in the modeling and simulation (M&S) community organized a workshop at the 2019 Annual Meeting of the Orthopaedic Research Society (ORS) entitled "Reproducibility in Modeling and Simulation of the Knee: Academic, Industry, and Regulatory Perspectives." The goal was to discuss efforts among these stakeholders to address irreproducibility in M&S focusing on the knee joint. An academic representative from a leading orthopedic hospital in the United States described a multi-institutional, open effort funded by the National Institutes of Health to assess model reproducibility in computational knee biomechanics. A regulatory representative from the United States Food and Drug Administration indicated the necessity of standards for reproducibility to increase utility of M&S in the regulatory setting. An industry representative from a major orthopedic implant company emphasized improving reproducibility by addressing indeterminacy in personalized modeling through sensitivity analyses, thereby enhancing preclinical evaluation of joint replacement technology. Thought leaders in the M&S community stressed the importance of data sharing to minimize duplication of efforts. A survey comprised 103 attendees revealed strong support for the workshop and for increasing emphasis on computational modeling at future ORS meetings. Nearly all survey respondents (97%) considered reproducibility to be an important issue. Almost half of respondents (45%) tried and failed to reproduce the work of others. Two-thirds of respondents (67%) declared that individual laboratories are most responsible for ensuring reproducible research whereas 44% thought that journals are most responsible. Thought leaders and survey respondents emphasized that computational models must be reproducible and credible to advance knee M&S.
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Affiliation(s)
- Carl W Imhauser
- Department of Biomechanics, Hospital for Special Surgery, New York, New York, USA
| | - Andrew P Baumann
- US Food and Drug Administration, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Division of Applied Mechanics, Silver Spring, Maryland, USA
| | | | | | - Nico Verdonschot
- Department of Biomechanical Engineering, Technical Medical Institute at University of Twente, Enschede, The Netherlands
- Orthopaedic Research Lab, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Benjamin J Fregly
- Department of Mechanical Engineering, Rice University, Houston, Texas, USA
| | - Shady S Elmasry
- Department of Biomechanics, Hospital for Special Surgery, New York, New York, USA
- Department of Mechanical Design and Production, Faculty of Engineering, Cairo University, Cairo, Egypt
| | - Neda N Abdollahi
- Center for Human Machine Systems, Cleveland State University, Cleveland, Ohio, USA
- Department of Mechanical Engineering, Cleveland State University, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Donald R Hume
- Department of Mechanical and Materials Engineering, University of Denver, Denver, Colorado, USA
- Center for Orthopaedic Biomechanics, University of Denver, Denver, Colorado, USA
| | - Nynke B Rooks
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Marco T-Y Schneider
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - William Zaylor
- Center for Human Machine Systems, Cleveland State University, Cleveland, Ohio, USA
- Department of Mechanical Engineering, Cleveland State University, Cleveland, Ohio, USA
| | - Thor F Besier
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
- Department of Engineering Science, Faculty of Engineering, University of Auckland, Auckland, New Zealand
| | - Jason P Halloran
- Applied Sciences Laboratory, Institute for Shock Physics, Washington State University, Spokane, Washington, USA
| | - Kevin B Shelburne
- Department of Mechanical and Materials Engineering, University of Denver, Denver, Colorado, USA
- Center for Orthopaedic Biomechanics, University of Denver, Denver, Colorado, USA
| | - Ahmet Erdemir
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Computational Biomodeling (CoBi) Core, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
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3
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Karimi Dastgerdi A, Esrafilian A, Carty CP, Nasseri A, Yahyaiee Bavil A, Barzan M, Korhonen RK, Astori I, Hall W, Saxby DJ. Validation and evaluation of subject-specific finite element models of the pediatric knee. Sci Rep 2023; 13:18328. [PMID: 37884632 PMCID: PMC10603053 DOI: 10.1038/s41598-023-45408-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 10/19/2023] [Indexed: 10/28/2023] Open
Abstract
Finite element (FE) models have been widely used to investigate knee joint biomechanics. Most of these models have been developed to study adult knees, neglecting pediatric populations. In this study, an atlas-based approach was employed to develop subject-specific FE models of the knee for eight typically developing pediatric individuals. Initially, validation simulations were performed at four passive tibiofemoral joint (TFJ) flexion angles, and the resulting TFJ and patellofemoral joint (PFJ) kinematics were compared to corresponding patient-matched measurements derived from magnetic resonance imaging (MRI). A neuromusculoskeletal-(NMSK)-FE pipeline was then used to simulate knee biomechanics during stance phase of walking gait for each participant to evaluate model simulation of a common motor task. Validation simulations demonstrated minimal error and strong correlations between FE-predicted and MRI-measured TFJ and PFJ kinematics (ensemble average of root mean square errors < 5 mm for translations and < 4.1° for rotations). The FE-predicted kinematics were strongly correlated with published reports (ensemble average of Pearson's correlation coefficients (ρ) > 0.9 for translations and ρ > 0.8 for rotations), except for TFJ mediolateral translation and abduction/adduction rotation. For walking gait, NMSK-FE model-predicted knee kinematics, contact areas, and contact pressures were consistent with experimental reports from literature. The strong agreement between model predictions and experimental reports underscores the capability of sequentially linked NMSK-FE models to accurately predict pediatric knee kinematics, as well as complex contact pressure distributions across the TFJ articulations. These models hold promise as effective tools for parametric analyses, population-based clinical studies, and enhancing our understanding of various pediatric knee injury mechanisms. They also support intervention design and prediction of surgical outcomes in pediatric populations.
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Affiliation(s)
- Ayda Karimi Dastgerdi
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia.
| | - Amir Esrafilian
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - Christopher P Carty
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia
- Department of Orthopedics, Children's Health Queensland Hospital and Health Service, Brisbane, QLD, Australia
| | - Azadeh Nasseri
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia
| | - Alireza Yahyaiee Bavil
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia
| | - Martina Barzan
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia
| | - Rami K Korhonen
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
| | - Ivan Astori
- Department of Orthopedics, Children's Health Queensland Hospital and Health Service, Brisbane, QLD, Australia
| | - Wayne Hall
- School of Engineering and Built Environment, Mechanical Engineering and Industrial Design, Griffith University, Gold Coast, QLD, Australia
| | - David John Saxby
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and the Advanced Design and Prototyping Technologies Institute (ADAPT), Griffith University, Gold Coast, QLD, Australia
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Lampen N, Su H, Chan DD, Yan P. Finite element modeling with subject-specific mechanical properties to assess knee osteoarthritis initiation and progression. J Orthop Res 2023; 41:72-83. [PMID: 35438803 DOI: 10.1002/jor.25338] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 03/14/2022] [Accepted: 03/31/2022] [Indexed: 02/04/2023]
Abstract
Finite element models of the knee can be used to identify regions at risk of mechanical failure in studies of osteoarthritis. Models of the knee often implement joint geometry obtained from magnetic resonance imaging (MRI) or gait kinematics from motion capture to increase model specificity for a given subject. However, differences exist in cartilage material properties regionally as well as between subjects. This paper presents a method to create subject-specific finite element models of the knee that assigns cartilage material properties from T2 relaxometry. We compared our T2 -refined model to identical models with homogeneous material properties. When tested on three subjects from the Osteoarthritis Initiative data set, we found the T2 -refined models estimated higher principal stresses and shear strains in most cartilage regions and corresponded better to increases in KL grade in follow-ups compared to their corresponding homogeneous material models. Measures of cumulative stress within regions of a T2 -refined model also correlated better with the region's cartilage morphology MRI Osteoarthritis Knee Score as compared with the homogeneous model. We conclude that spatially heterogeneous T2 -refined material properties improve the subject-specificity of finite element models compared to homogeneous material properties in osteoarthritis progression studies. Statement of Clinical Significance: T2 -refined material properties can improve subject-specific finite element model assessments of cartilage degeneration.
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Affiliation(s)
- Nathan Lampen
- Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - Haoyun Su
- Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, USA
| | - Deva D Chan
- Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, USA.,Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Pingkun Yan
- Department of Biomedical Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York, USA
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Day GA, Cooper RJ, Jones AC, Mengoni M, Wilcox RK. Development of robust finite element models to investigate the stability of osteochondral grafts within porcine femoral condyles. J Mech Behav Biomed Mater 2022; 134:105411. [PMID: 36037705 DOI: 10.1016/j.jmbbm.2022.105411] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 07/21/2022] [Accepted: 08/05/2022] [Indexed: 11/27/2022]
Abstract
Osteoarthritis (OA) is the most prevalent chronic rheumatic disease worldwide with knee OA having an estimated lifetime risk of approximately 14%. Autologous osteochondral grafting has demonstrated positive outcomes in some patients, however, understanding of the biomechanical function and how treatments can be optimised remains limited. Increased short-term stability of the grafts allows cartilage surfaces to remain congruent prior to graft integration. In this study methods for generating specimen specific finite element (FE) models of osteochondral grafts were developed, using parallel experimental data for calibration and validation. Experimental testing of the force required to displace osteochondral grafts by 2 mm was conducted on three porcine knees, each with four grafts. Specimen specific FE models of the hosts and grafts were created from registered μCT scans captured from each knee (pre- and post-test). Material properties were based on the μCT background with a conversion between μCT voxel brightness and Young's modulus. This conversion was based on the results of the separate testing of eight porcine condyles and optimization of specimen specific FE models. The comparison between the experimental and computational push-in forces gave a strong agreement with a concordance correlation coefficient (CCC) = 0.75, validating the modelling approach. The modelling process showed that homogenous material properties based on whole bone BV/TV calculations are insufficient for accurate modelling and that an intricate description of the density distribution is required. The robust methodology can provide a method of testing different treatment options and can be used to investigate graft stability in full tibiofemoral joints.
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Affiliation(s)
- Gavin A Day
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK.
| | - Robert J Cooper
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK
| | - Alison C Jones
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK
| | - Marlène Mengoni
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK
| | - Ruth K Wilcox
- Institute of Medical and Biological Engineering, Mechanical Engineering, University of Leeds, UK
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Bansal S, Floyd ER, Kowalski MA, Aikman E, Elrod P, Burkey K, Chahla J, LaPrade RF, Maher SA, Robinson JL, Patel JM. Meniscal repair: The current state and recent advances in augmentation. J Orthop Res 2021; 39:1368-1382. [PMID: 33751642 PMCID: PMC8249336 DOI: 10.1002/jor.25021] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/04/2021] [Accepted: 03/02/2021] [Indexed: 02/04/2023]
Abstract
Meniscal injuries represent one of the most common orthopedic injuries. The most frequent treatment is partial resection of the meniscus, or meniscectomy, which can affect joint mechanics and health. For this reason, the field has shifted gradually towards suture repair, with the intent of preservation of the tissue. "Save the Meniscus" is now a prolific theme in the field; however, meniscal repair can be challenging and ineffective in many scenarios. The objectives of this review are to present the current state of surgical management of meniscal injuries and to explore current approaches being developed to enhance meniscal repair. Through a systematic literature review, we identified meniscal tear classifications and prevalence, approaches being used to improve meniscal repair, and biological- and material-based systems being developed to promote meniscal healing. We found that biologic augmentation typically aims to improve cellular incorporation to the wound site, vascularization in the inner zones, matrix deposition, and inflammatory relief. Furthermore, materials can be used, both with and without contained biologics, to further support matrix deposition and tear integration, and novel tissue adhesives may provide the mechanical integrity that the meniscus requires. Altogether, evaluation of these approaches in relevant in vitro and in vivo models provides new insights into the mechanisms needed to salvage meniscal tissue, and along with regulatory considerations, may justify translation to the clinic. With the need to restore long-term function to injured menisci, biologists, engineers, and clinicians are developing novel approaches to enhance the future of robust and consistent meniscal reparative techniques.
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Affiliation(s)
- Sonia Bansal
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | | | - Kyley Burkey
- University of Kansas Medical Center, Kansas City, Kansas, USA
| | | | | | | | | | - Jay M. Patel
- Emory University, Atlanta, Georgia, USA
- Atlanta VA Medical Center, Decatur, Georgia, USA
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7
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Development of robust finite element models of porcine tibiofemoral joints loaded under varied flexion angles and tibial freedoms. J Mech Behav Biomed Mater 2020; 109:103797. [PMID: 32347215 DOI: 10.1016/j.jmbbm.2020.103797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 03/20/2020] [Accepted: 04/12/2020] [Indexed: 11/22/2022]
Abstract
The successful development of cartilage repair treatments for the knee requires understanding of the biomechanical environment within the joint. Computational finite element models play an important role in non-invasively understanding knee mechanics, but it is important to compare model findings to experimental data. The purpose of this study was to develop a methodology for generating subject-specific finite element models of porcine tibiofemoral joints that was robust and valid over multiple different constraint scenarios. Computational model predictions of two knees were compared to experimental studies on corresponding specimens loaded under several different constraint scenarios using a custom designed experimental rig, with variations made to the femoral flexion angle and level of tibial freedom. For both in vitro specimens, changing the femoral flexion angle had a marked effect on the contact distribution observed experimentally. With the tibia fixed, the majority of the contact region shifted to the medial plateau as flexion was increased. This did not occur when the tibia was free to displace and rotate in response to applied load. These trends in contact distribution across the medial and lateral plateaus were replicated in the computational models. In an additional model with the meniscus removed, contact pressures were elevated by a similar magnitude to the increase seen when the meniscus was removed experimentally. Overall, the models were able to capture specimen-specific trends in contact distribution under a variety of different loads, providing the potential to investigate subject-specific outcomes for knee interventions.
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Erdemir A, Besier TF, Halloran JP, Imhauser CW, Laz PJ, Morrison TM, Shelburne KB. Deciphering the "Art" in Modeling and Simulation of the Knee Joint: Overall Strategy. J Biomech Eng 2020; 141:2730179. [PMID: 31166589 DOI: 10.1115/1.4043346] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Indexed: 12/26/2022]
Abstract
Recent explorations of knee biomechanics have benefited from computational modeling, specifically leveraging advancements in finite element analysis and rigid body dynamics of joint and tissue mechanics. A large number of models have emerged with different levels of fidelity in anatomical and mechanical representation. Adapted modeling and simulation processes vary widely, based on justifiable choices in relation to anticipated use of the model. However, there are situations where modelers' decisions seem to be subjective, arbitrary, and difficult to rationalize. Regardless of the basis, these decisions form the "art" of modeling, which impact the conclusions of simulation-based studies on knee function. These decisions may also hinder the reproducibility of models and simulations, impeding their broader use in areas such as clinical decision making and personalized medicine. This document summarizes an ongoing project that aims to capture the modeling and simulation workflow in its entirety-operation procedures, deviations, models, by-products of modeling, simulation results, and comparative evaluations of case studies and applications. The ultimate goal of the project is to delineate the art of a cohort of knee modeling teams through a publicly accessible, transparent approach and begin to unravel the complex array of factors that may lead to a lack of reproducibility. This manuscript outlines our approach along with progress made so far. Potential implications on reproducibility, on science, engineering, and training of modeling and simulation, on modeling standards, and on regulatory affairs are also noted.
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Affiliation(s)
- Ahmet Erdemir
- Department of Biomedical Engineering and Computational Biomodeling (CoBi) Core, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Avenue (ND20), Cleveland, OH 44195 e-mail:
| | - Thor F Besier
- Department of Engineering Science, Auckland Bioengineering Institute, University of Auckland, Auckland 1010, New Zealand
| | - Jason P Halloran
- Department of Mechanical Engineering, Center for Human Machine Systems, Cleveland State University, Cleveland, OH 44115
| | - Carl W Imhauser
- Department of Biomechanics, Hospital for Special Surgery, New York, NY 10021
| | - Peter J Laz
- Department of Mechanical and Materials Engineering, Center for Orthopaedic Biomechanics, University of Denver, Denver, CO 80210
| | - Tina M Morrison
- Division of Applied Mechanics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD 20993
| | - Kevin B Shelburne
- Department of Mechanical and Materials Engineering, Center for Orthopaedic Biomechanics, University of Denver, Denver, CO 80210
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Cooper RJ, Wilcox RK, Jones AC. Finite element models of the tibiofemoral joint: A review of validation approaches and modelling challenges. Med Eng Phys 2019; 74:1-12. [DOI: 10.1016/j.medengphy.2019.08.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 08/05/2019] [Accepted: 08/21/2019] [Indexed: 12/20/2022]
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10
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Nickien M, Heuijerjans A, Ito K, van Donkelaar CC. Comparison between in vitro and in vivo cartilage overloading studies based on a systematic literature review. J Orthop Res 2018; 36:2076-2086. [PMID: 29644716 PMCID: PMC6120482 DOI: 10.1002/jor.23910] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 03/27/2018] [Indexed: 02/04/2023]
Abstract
Methodological differences between in vitro and in vivo studies on cartilage overloading complicate the comparison of outcomes. The rationale of the current review was to (i) identify consistencies and inconsistencies between in vitro and in vivo studies on mechanically-induced structural damage in articular cartilage, such that variables worth interesting to further explore using either one of these approaches can be identified; and (ii) suggest how the methodologies of both approaches may be adjusted to facilitate easier comparison and therewith stimulate translation of results between in vivo and in vitro studies. This study is anticipated to enhance our understanding of the development of osteoarthritis, and to reduce the number of in vivo studies. Generally, results of in vitro and in vivo studies are not contradicting. Both show subchondral bone damage and intact cartilage above a threshold value of impact energy. At lower loading rates, excessive loads may cause cartilage fissuring, decreased cell viability, collagen network de-structuring, decreased GAG content, an overall damage increase over time, and low ability to recover. This encourages further improvement of in vitro systems, to replace, reduce, and/or refine in vivo studies. However, differences in experimental set up and analyses complicate comparison of results. Ways to bridge the gap include (i) bringing in vitro set-ups closer to in vivo, for example, by aligning loading protocols and overlapping experimental timeframes; (ii) synchronizing analytical methods; and (iii) using computational models to translate conclusions from in vitro results to the in vivo environment and vice versa. © 2018 The Authors. Journal of Orthopaedic Research® Published by Wiley Periodicals, Inc. J Orthop Res 9999:1-11, 2018.
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Affiliation(s)
- Mieke Nickien
- Department of Biomedical Engineering, Orthopaedic BiomechanicsEindhoven University of TechnologyP.O. Box 513, 5600MBEindhovenThe Netherlands
| | - Ashley Heuijerjans
- Department of Biomedical Engineering, Orthopaedic BiomechanicsEindhoven University of TechnologyP.O. Box 513, 5600MBEindhovenThe Netherlands
| | - Keita Ito
- Department of Biomedical Engineering, Orthopaedic BiomechanicsEindhoven University of TechnologyP.O. Box 513, 5600MBEindhovenThe Netherlands
| | - Corrinus C. van Donkelaar
- Department of Biomedical Engineering, Orthopaedic BiomechanicsEindhoven University of TechnologyP.O. Box 513, 5600MBEindhovenThe Netherlands
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