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Jerban S, Moazamian D, Mohammadi HS, Ma Y, Jang H, Namiranian B, Shin SH, Alenezi S, Shah SB, Chung CB, Chang EY, Du J. More accurate trabecular bone imaging using UTE MRI at the resonance frequency of fat. Bone 2024; 184:117096. [PMID: 38631596 DOI: 10.1016/j.bone.2024.117096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/18/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024]
Abstract
High-resolution magnetic resonance imaging (HR-MRI) has been increasingly used to assess the trabecular bone structure. High susceptibility at the marrow/bone interface may significantly reduce the marrow's apparent transverse relaxation time (T2*), overestimating trabecular bone thickness. Ultrashort echo time MRI (UTE-MRI) can minimize the signal loss caused by susceptibility-induced T2* shortening. However, UTE-MRI is sensitive to chemical shift artifacts, which manifest as spatial blurring and ringing artifacts partially due to non-Cartesian sampling. In this study, we proposed UTE-MRI at the resonance frequency of fat to minimize marrow-related chemical shift artifacts and the overestimation of trabecular thickness. Cubes of trabecular bone from six donors (75 ± 4 years old) were scanned using a 3 T clinical scanner at the resonance frequencies of fat and water, respectively, using 3D UTE sequences with five TEs (0.032, 1.1, 2.2, 3.3, and 4.4 ms) and a clinical 3D gradient echo (GRE) sequence at 0.2 × 0.2 × 0.4 mm3 voxel size. Trabecular bone thickness was measured in 30 regions of interest (ROIs) per sample. MRI results were compared with thicknesses obtained from micro-computed tomography (μCT) at 50 μm3 voxel size. Linear regression models were used to calculate the coefficient of determination between MRI- and μCT-based trabecular thickness. All MRI-based trabecular thicknesses showed significant correlations with μCT measurements. The correlations were higher (examined with paired Student's t-test, P < 0.01) for 3D UTE images performed at the fat frequency (R2 = 0.59-0.74, P < 0.01) than those at the water frequency (R2 = 0.18-0.52, P < 0.01) and clinical GRE images (R2 = 0.39-0.47, P < 0.01). Significantly reduced correlations were observed with longer TEs. This study highlighted the feasibility of UTE-MRI at the fat frequency for a more accurate assessment of trabecular bone thickness.
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Affiliation(s)
- Saeed Jerban
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
| | - Dina Moazamian
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | | | - Yajun Ma
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Hyungseok Jang
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Behnam Namiranian
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Soo Hyun Shin
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Salem Alenezi
- Research and Laboratories Sector, Saudi Food and Drug Authority, Riyadh, Saudi Arabia
| | - Sameer B Shah
- Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA; Orthopaedic Research, University of California, San Diego, La Jolla, CA, USA
| | - Christine B Chung
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA
| | - Eric Y Chang
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA
| | - Jiang Du
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, CA, USA.
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Kriener K, Whiting H, Storr N, Homes R, Lala R, Gabrielyan R, Kuang J, Rubin B, Frails E, Sandstrom H, Futter C, Midwinter M. Applied use of biomechanical measurements from human tissues for the development of medical skills trainers: a scoping review. JBI Evid Synth 2023; 21:2309-2405. [PMID: 37732940 DOI: 10.11124/jbies-22-00363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
OBJECTIVE The objective of this review was to identify quantitative biomechanical measurements of human tissues, the methods for obtaining these measurements, and the primary motivations for conducting biomechanical research. INTRODUCTION Medical skills trainers are a safe and useful tool for clinicians to use when learning or practicing medical procedures. The haptic fidelity of these devices is often poor, which may be because the synthetic materials chosen for these devices do not have the same mechanical properties as human tissues. This review investigates a heterogeneous body of literature to identify which biomechanical properties are available for human tissues, the methods for obtaining these values, and the primary motivations behind conducting biomechanical tests. INCLUSION CRITERIA Studies containing quantitative measurements of the biomechanical properties of human tissues were included. Studies that primarily focused on dynamic and fluid mechanical properties were excluded. Additionally, studies only containing animal, in silico , or synthetic materials were excluded from this review. METHODS This scoping review followed the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Sources of evidence were extracted from CINAHL (EBSCO), IEEE Xplore, MEDLINE (PubMed), Scopus, and engineering conference proceedings. The search was limited to the English language. Two independent reviewers screened titles and abstracts as well as full-text reviews. Any conflicts that arose during screening and full-text review were mediated by a third reviewer. Data extraction was conducted by 2 independent reviewers and discrepancies were mediated through discussion. The results are presented in tabular, figure, and narrative formats. RESULTS Data were extracted from a total of 186 full-text publications. All of the studies, except for 1, were experimental. Included studies came from 33 countries, with the majority coming from the United States. Ex vivo methods were the predominant approach for extracting human tissue samples, and the most commonly studied tissue type was musculoskeletal. In this study, nearly 200 unique biomechanical values were reported, and the most commonly reported value was Young's (elastic) modulus. The most common type of mechanical test performed was tensile testing, and the most common reason for testing human tissues was to characterize biomechanical properties. Although the number of published studies on biomechanical properties of human tissues has increased over the past 20 years, there are many gaps in the literature. Of the 186 included studies, only 7 used human tissues for the design or validation of medical skills training devices. Furthermore, in studies where biomechanical values for human tissues have been obtained, a lack of standardization in engineering assumptions, methodologies, and tissue preparation may implicate the usefulness of these values. CONCLUSIONS This review is the first of its kind to give a broad overview of the biomechanics of human tissues in the published literature. With respect to high-fidelity haptics, there is a large gap in the published literature. Even in instances where biomechanical values are available, comparing or using these values is difficult. This is likely due to the lack of standardization in engineering assumptions, testing methodology, and reporting of the results. It is recommended that journals and experts in engineering fields conduct further research to investigate the feasibility of implementing reporting standards. REVIEW REGISTRATION Open Science Framework https://osf.io/fgb34.
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Affiliation(s)
- Kyleigh Kriener
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Harrison Whiting
- Department of Anaesthesia and Perioperative Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- School of Clinical Medicine, Royal Brisbane Clinical Unit, The University of Queensland, Brisbane, QLD, Australia
| | - Nicholas Storr
- Gold Coast University Hospital, Southport, QLD Australia
| | - Ryan Homes
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Raushan Lala
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Robert Gabrielyan
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
- Ochsner Clinical School, Jefferson, LA, United States
| | - Jasmine Kuang
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
- Ochsner Clinical School, Jefferson, LA, United States
| | - Bryn Rubin
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
- Ochsner Clinical School, Jefferson, LA, United States
| | - Edward Frails
- Department of Chemical Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Hannah Sandstrom
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA, United States
| | - Christopher Futter
- Department of Anaesthesia and Perioperative Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
- Anaesthesia and Intensive Care Program, Herston Biofabrication institute, Brisbane, QLD, Australia
| | - Mark Midwinter
- School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, Australia
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Ketsiri T, Uppuganti S, Harkins KD, Gochberg DF, Nyman JS, Does MD. Finite element analysis of bone mechanical properties using MRI-derived bound and pore water concentration maps. Comput Methods Biomech Biomed Engin 2023; 26:905-916. [PMID: 35822868 PMCID: PMC9837311 DOI: 10.1080/10255842.2022.2098016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/10/2022] [Accepted: 06/30/2022] [Indexed: 01/17/2023]
Abstract
Ultrashort echo time (UTE) MRI techniques can be used to image the concentration of water in bones. Particularly, quantitative MRI imaging of collagen-bound water concentration (Cbw) and pore water concentration (Cpw) in cortical bone have been shown as potential biomarkers for bone fracture risk. To investigate the effect of Cbw and Cpw on the evaluation of bone mechanical properties, MRI-based finite element models of cadaver radii were generated with tissue material properties derived from 3 D maps of Cbw and Cpw measurements. Three-point bending tests were simulated by means of the finite element method to predict bending properties of the bone and the results were compared with those from direct mechanical testing. The study results demonstrate that these MRI-derived measures of Cbw and Cpw improve the prediction of bone mechanical properties in cadaver radii and have the potential to be useful in assessing patient-specific bone fragility risk.
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Affiliation(s)
- Thammathida Ketsiri
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
| | - Sasidhar Uppuganti
- Department of Orthopaedic Surgery & Rehabilitation, Vanderbilt University, Nashville, TN, United States
- Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville, TN, United States
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kevin D. Harkins
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
- Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Daniel F. Gochberg
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
- Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN, United States
- Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States
| | - Jeffry S. Nyman
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
- Department of Orthopaedic Surgery & Rehabilitation, Vanderbilt University, Nashville, TN, United States
- Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville, TN, United States
- Center for Bone Biology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Mark D. Does
- Biomedical Engineering, Vanderbilt University, Nashville, TN, United States
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States
- Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN, United States
- Electrical Engineering, Vanderbilt University, Nashville, TN, United States
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Texture Parameters Measured by UHF-MRI and CT Scan Provide Information on Bone Quality in Addition to BMD: A Biomechanical Ex Vivo Study. Diagnostics (Basel) 2022; 12:diagnostics12123143. [PMID: 36553150 PMCID: PMC9777398 DOI: 10.3390/diagnostics12123143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/03/2022] [Accepted: 12/10/2022] [Indexed: 12/14/2022] Open
Abstract
The current definition of osteoporosis includes alteration of bone quality. The assessment of bone quality is improved by the development of new texture analysis softwares. Our objectives were to assess if proximal femoral trabecular bone texture measured in Ultra high field (UHF) 7 Tesla MRI and CT scan were related to biomechanical parameters, and if the combination of texture parameters and areal bone mineral density (aBMD) measured by dual-energy X-ray absorptiometry provided a better prediction of femoral failure than aBMD alone. The aBMD of 16 proximal femur ends from eight cadavers were investigated. Nineteen textural parameters were computed in three regions or volumes of interest for each specimen on UHF MRI and CT scan. Then, the corresponding failure load and failure stress were calculated thanks to mechanical compression test. aBMD was not correlated to failure load (R2 = 0.206) and stress (R2 = 0.153). The failure load was significantly correlated with ten parameters in the greater trochanter using UHF MRI, and with one parameter in the neck and the greater trochanter using CT scan. Eight parameters in the greater trochanter using UHF MRI combined with aBMD improved the failure load prediction, and seven parameters improved the failure stress prediction. Our results suggest that textural parameters provide additional information on the fracture risk of the proximal femur when aBMD is not contributive.
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Exploring the Importance of Corticalization Occurring in Alveolar Bone Surrounding a Dental Implant. J Clin Med 2022; 11:jcm11237189. [PMID: 36498764 PMCID: PMC9738071 DOI: 10.3390/jcm11237189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
Several measures describing the transformation of trabecular bone to cortical bone on the basis of analysis of intraoral radiographs are known (including bone index or corticalization index, CI). At the same time, it has been noted that after functional loading of dental implants such transformations occur in the bone directly adjacent to the fixture. Intuitively, it seems that this is a process conducive to the long-term maintenance of dental implants and certainly necessary when immediate loading is applied. The authors examined the relationship of implant design features to marginal bone loss (MBL) and the intensity of corticalization over a 10-year period of functional loading. This study is a general description of the phenomenon of peri-implant bone corticalization and an attempt to interpret this phenomenon to achieve success of implant treatment in the long term. Corticalization significantly increased over the first 5-year functional loading (CI from 200 ± 146 initially to 282 ± 182, p < 0.001) and maintained a high level (CI = 261 ± 168) in the 10-year study relative to the reference bone (149 ± 178). MBL significantly increased throughout the follow-up period—5 years: 0.83 ± 1.26 mm (p < 0.001), 10 years: 1.48 ± 2.01 mm (p < 0.001). MBL and radiographic bone structure (CI) were evaluated in relation to intraosseous implant design features and prosthetic work performed. In the scope of the study, it can be concluded that the phenomenon of peri-implant jawbone corticalization seems an unfavorable condition for the future fate of bone-anchored implants, but it requires further research to fully explain the significance of this phenomenon.
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Soldati E, Pithioux M, Guenoun D, Bendahan D, Vicente J. Assessment of Bone Microarchitecture in Fresh Cadaveric Human Femurs: What Could Be the Clinical Relevance of Ultra-High Field MRI. Diagnostics (Basel) 2022; 12:diagnostics12020439. [PMID: 35204529 PMCID: PMC8870786 DOI: 10.3390/diagnostics12020439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/27/2022] [Accepted: 02/03/2022] [Indexed: 11/16/2022] Open
Abstract
MRI could be applied for bone microarchitecture assessment; however, this technique is still suffering from low resolution compared to the trabecular dimension. A clear comparative analysis between MRI and X-ray microcomputed tomography (μCT) regarding microarchitecture metrics is still lacking. In this study, we performed a comparative analysis between μCT and 7T MRI with the aim of assessing the image resolution effect on the accuracy of microarchitecture metrics. We also addressed the issue of air bubble artifacts in cadaveric bones. Three fresh cadaveric femur heads were scanned using 7T MRI and µCT at high resolution (0.051 mm). Samples were submitted to a vacuum procedure combined with vibration to reduce the volume of air bubbles. Trabecular interconnectivity, a new metric, and conventional histomorphometric parameters were quantified using MR images and compared to those derived from µCT at full resolution and downsized resolutions (0.102 and 0.153 mm). Correlations between bone morphology and mineral density (BMD) were evaluated. Air bubbles were reduced by 99.8% in 30 min, leaving partial volume effects as the only source of bias. Morphological parameters quantified with 7T MRI were not statistically different (p > 0.01) to those computed from μCT images, with error up to 8% for both bone volume fraction and trabecular spacing. No linear correlation was found between BMD and all morphological parameters except trabecular interconnectivity (R2 = 0.69 for 7T MRI-BMD). These results strongly suggest that 7T MRI could be of interest for in vivo bone microarchitecture assessment, providing additional information about bone health and quality.
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Affiliation(s)
- Enrico Soldati
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Correspondence:
| | - Martine Pithioux
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Aix Marseille Univ, APHM, CNRS, ISM, Sainte-Marguerite Hospital, Institute for Locomotion, Department of Orthopaedics and Traumatology, 13274 Marseille, France
| | - Daphne Guenoun
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (M.P.); (D.G.)
- Aix Marseille Univ, APHM, CNRS, ISM, Sainte-Marguerite Hospital, Institute for Locomotion, Department of Radiology, 13274 Marseille, France
| | - David Bendahan
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
| | - Jerome Vicente
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
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Jerban S, Alenezi S, Afsahi AM, Ma Y, Du J, Chung CB, Chang E. MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review. Magn Reson Imaging 2022; 88:9-19. [DOI: 10.1016/j.mri.2022.01.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 12/09/2021] [Accepted: 01/20/2022] [Indexed: 12/18/2022]
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Barkaoui A, Ait Oumghar I, Ben Kahla R. Review on the use of medical imaging in orthopedic biomechanics: finite element studies. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING: IMAGING & VISUALIZATION 2021. [DOI: 10.1080/21681163.2021.1888317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Abdelwahed Barkaoui
- Laboratoire des Énergies Renouvelables et Matériaux Avancés, Université Internationale de Rabat, Sala Al Jadida Morocco
| | - Imane Ait Oumghar
- Laboratoire des Énergies Renouvelables et Matériaux Avancés, Université Internationale de Rabat, Sala Al Jadida Morocco
- Aix Marseille Univ, CNRS, ISM, Inst Movement Sci, Marseille, France
| | - Rabeb Ben Kahla
- Laboratoire de Systémes et de Mécanique Appliquée, Ecole Polytechnique de Tunis, Université de Carthage, Tunis, Tunisia
- Ecole Nationale d’Ingénieurs de Tunis, Université de Tunis el Manar, Campus Universitaire, Tunis, Tunisia
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Soldati E, Vicente J, Guenoun D, Bendahan D, Pithioux M. Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI. Diagnostics (Basel) 2021; 11:1603. [PMID: 34573945 PMCID: PMC8466948 DOI: 10.3390/diagnostics11091603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/25/2021] [Accepted: 08/31/2021] [Indexed: 11/18/2022] Open
Abstract
Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compared bone microstructure parameters and bone mineral density (BMD) computed using various MRI approaches, i.e., turbo spin echo (TSE) and gradient recalled echo (GRE) images used at different magnetic fields, i.e., 7T and 3T. The corresponding parameters computed from μCT images and BMD derived from dual-energy X-ray absorptiometry (DXA) were used as the ground truth. The correlation between morphological parameters, BMD and fracture load assessed by mechanical compression tests was evaluated. Histomorphometric parameters showed a good agreement between 7T TSE and μCT, with 8% error for trabecular thickness with no significative statistical difference and a good intraclass correlation coefficient (ICC > 0.5) for all the extrapolated parameters. No correlation was found between DXA-BMD and all morphological parameters, except for trabecular interconnectivity (R2 > 0.69). Good correlation (p-value < 0.05) was found between failure load and trabecular interconnectivity (R2 > 0.79). These results suggest that MRI could be of interest for bone microstructure assessment. Moreover, the combination of morphological parameters and BMD could provide a more comprehensive view of bone quality.
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Affiliation(s)
- Enrico Soldati
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
| | - Jerome Vicente
- Aix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France;
| | - Daphne Guenoun
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, Aix Marseille Univ, APHM, CNRS, ISM, 13274 Marseille, France
| | - David Bendahan
- Aix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France;
| | - Martine Pithioux
- Aix Marseille Univ, CNRS, ISM, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Orthopaedics and Traumatology, Institute for Locomotion, Sainte-Marguerite Hospital, Aix Marseille Univ, APHM, CNRS, ISM, 13274 Marseille, France
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Phan PK, Vo ATN, Bakhtiarydavijani A, Burch R, Smith B, Ball JE, Chander H, Knight A, Prabhu RK. In Silico Finite Element Analysis of the Foot Ankle Complex Biomechanics: A Literature Review. J Biomech Eng 2021; 143:1105251. [PMID: 33764401 DOI: 10.1115/1.4050667] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Indexed: 11/08/2022]
Abstract
Computational approaches, especially finite element analysis (FEA), have been rapidly growing in both academia and industry during the last few decades. FEA serves as a powerful and efficient approach for simulating real-life experiments, including industrial product development, machine design, and biomedical research, particularly in biomechanics and biomaterials. Accordingly, FEA has been a "go-to" high biofidelic software tool to simulate and quantify the biomechanics of the foot-ankle complex, as well as to predict the risk of foot and ankle injuries, which are one of the most common musculoskeletal injuries among physically active individuals. This paper provides a review of the in silico FEA of the foot-ankle complex. First, a brief history of computational modeling methods and finite element (FE) simulations for foot-ankle models is introduced. Second, a general approach to build an FE foot and ankle model is presented, including a detailed procedure to accurately construct, calibrate, verify, and validate an FE model in its appropriate simulation environment. Third, current applications, as well as future improvements of the foot and ankle FE models, especially in the biomedical field, are discussed. Finally, a conclusion is made on the efficiency and development of FEA as a computational approach in investigating the biomechanics of the foot-ankle complex. Overall, this review integrates insightful information for biomedical engineers, medical professionals, and researchers to conduct more accurate research on the foot-ankle FE models in the future.
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Affiliation(s)
- P K Phan
- Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi, MS 39762; Center of Advanced Vehicular System (CAVS), Mississippi State University, Mississippi, MS 39762
| | - A T N Vo
- Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi, MS 39762; Center of Advanced Vehicular System (CAVS), Mississippi State University, Mississippi, MS 39762
| | - A Bakhtiarydavijani
- Center of Advanced Vehicular System (CAVS), Mississippi State University, Mississippi, MS 39762
| | - R Burch
- Center of Advanced Vehicular System (CAVS), Mississippi State University, Mississippi, MS 39762; Department of Industrial and Systems Engineering, Mississippi State University, Mississippi, MS 39762
| | - B Smith
- Department of Industrial and Systems Engineering, Mississippi State University, Mississippi, MS 39762
| | - J E Ball
- Department of Electrical and Computer Engineering, Mississippi State University, Mississippi, MS 39762
| | - H Chander
- Department of Kinesiology, Mississippi State University, Mississippi, MS 39762
| | - A Knight
- Department of Kinesiology, Mississippi State University, Mississippi, MS 39762
| | - R K Prabhu
- Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi, MS 39762; Center of Advanced Vehicular System (CAVS), Mississippi State University, Mississippi, MS 39762
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Rajapakse CS, Johncola AJ, Batzdorf AS, Jones BC, Al Mukaddam M, Sexton K, Shults J, Leonard MB, Snyder PJ, Wehrli FW. Effect of Low-Intensity Vibration on Bone Strength, Microstructure, and Adiposity in Pre-Osteoporotic Postmenopausal Women: A Randomized Placebo-Controlled Trial. J Bone Miner Res 2021; 36:673-684. [PMID: 33314313 DOI: 10.1002/jbmr.4229] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 11/21/2020] [Accepted: 11/27/2020] [Indexed: 12/31/2022]
Abstract
There has been evidence that cyclical mechanical stimulation may be osteogenic, thus providing opportunities for nonpharmacological treatment of degenerative bone disease. Here, we applied this technology to a cohort of postmenopausal women with varying bone mineral density (BMD) T-scores at the total hip (-0.524 ± 0.843) and spine (-0.795 ± 1.03) to examine the response to intervention after 1 year of daily treatment with 10 minutes of vibration therapy in a randomized double-blinded trial. The device operates either in an active mode (30 Hz and 0.3 g) or placebo. Primary endpoints were changes in bone stiffness at the distal tibia and marrow adiposity of the vertebrae, based on 3 Tesla high-resolution MRI and spectroscopic imaging, respectively. Secondary outcome variables included distal tibial trabecular microstructural parameters and vertebral deformity determined by MRI, volumetric and areal bone densities derived using peripheral quantitative computed tomography (pQCT) of the tibia, and dual-energy X-ray absorptiometry (DXA)-based BMD of the hip and spine. Device adherence was 83% in the active group (n = 42) and 86% in the placebo group (n = 38) and did not differ between groups (p = .7). The mean 12-month changes in tibial stiffness in the treatment group and placebo group were +1.31 ± 6.05% and -2.55 ± 3.90%, respectively (group difference 3.86%, p = .0096). In the active group, marrow fat fraction significantly decreased after 12 months of intervention (p = .0003), whereas no significant change was observed in the placebo group (p = .7; group difference -1.59%, p = .029). Mean differences of the changes in trabecular bone volume fraction (p = .048) and erosion index (p = .044) were also significant, as was pQCT-derived trabecular volumetric BMD (vBMD; p = .016) at the tibia. The data are commensurate with the hypothesis that vibration therapy is protective against loss in mechanical strength and, further, that the intervention minimizes the shift from the osteoblastic to the adipocytic lineage of mesenchymal stem cells. © 2020 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.,Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Alyssa J Johncola
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Brandon C Jones
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mona Al Mukaddam
- Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.,Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kelly Sexton
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Justine Shults
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary B Leonard
- Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.,Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Peter J Snyder
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Felix W Wehrli
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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12
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Augat P, Hast MW, Schemitsch G, Heyland M, Trepczynski A, Borgiani E, Russow G, Märdian S, Duda GN, Hollensteiner M, Bottlang M, Schemitsch EH. Biomechanical models: key considerations in study design. OTA Int 2021; 4:e099(1-6). [PMID: 37608858 PMCID: PMC10441683 DOI: 10.1097/oi9.0000000000000099] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/16/2020] [Accepted: 12/11/2020] [Indexed: 08/24/2023]
Abstract
This manuscript summarizes presentations of a symposium on key considerations in design of biomechanical models at the 2019 Basic Science Focus Forum of the Orthopaedic Trauma Association. The first section outlines the most important characteristics of a high-quality biomechanical study. The second section considers choices associated with designing experiments using finite element modeling versus synthetic bones versus human specimens. The third section discusses appropriate selection of experimental protocols and finite element analyses. The fourth section considers the pros and cons of use of biomechanical research for implant design. Finally, the fifth section examines how results from biomechanical studies can be used when clinical evidence is lacking or contradictory. When taken together, these presentations emphasize the critical importance of biomechanical research and the need to carefully consider and optimize models when designing a biomechanical study.
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Affiliation(s)
- Peter Augat
- Institute for Biomechanics, Berufsgenossenschaftliche Unfallklinik Murnau, Murnau, Germany
- Paracelsus Medical University, Salzburg, Austria
| | - Michael W Hast
- Biedermann Lab for Orthopaedic Research, University of Pennsylvania, Philadelphia, PA
| | | | - Mark Heyland
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Berlin Institute of Health (BIH)
| | - Adam Trepczynski
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Berlin Institute of Health (BIH)
| | - Edoardo Borgiani
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Berlin Institute of Health (BIH)
| | - Gabriele Russow
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Berlin Institute of Health (BIH)
- Center for Musculoskeletal Surgery, Charité - Universitätsmedizin, Berlin, Berlin, Germany
| | - Sven Märdian
- Center for Musculoskeletal Surgery, Charité - Universitätsmedizin, Berlin, Berlin, Germany
| | - Georg N Duda
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Berlin Institute of Health (BIH)
| | - Marianne Hollensteiner
- Institute for Biomechanics, Berufsgenossenschaftliche Unfallklinik Murnau, Murnau, Germany
- Paracelsus Medical University, Salzburg, Austria
| | - Michael Bottlang
- Biomechanics Laboratory, Legacy Research Institute, Portland, OR
| | - Emil H Schemitsch
- Department of Surgery, University of Western Ontario, London, Ontario, Canada
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13
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Soldati E, Rossi F, Vicente J, Guenoun D, Pithioux M, Iotti S, Malucelli E, Bendahan D. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure. Int J Mol Sci 2021; 22:ijms22052509. [PMID: 33801539 PMCID: PMC7958958 DOI: 10.3390/ijms22052509] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/21/2021] [Accepted: 02/25/2021] [Indexed: 12/12/2022] Open
Abstract
Bone microarchitecture has been shown to provide useful information regarding the evaluation of skeleton quality with an added value to areal bone mineral density, which can be used for the diagnosis of several bone diseases. Bone mineral density estimated from dual-energy X-ray absorptiometry (DXA) has shown to be a limited tool to identify patients’ risk stratification and therapy delivery. Magnetic resonance imaging (MRI) has been proposed as another technique to assess bone quality and fracture risk by evaluating the bone structure and microarchitecture. To date, MRI is the only completely non-invasive and non-ionizing imaging modality that can assess both cortical and trabecular bone in vivo. In this review article, we reported a survey regarding the clinically relevant information MRI could provide for the assessment of the inner trabecular morphology of different bone segments. The last section will be devoted to the upcoming MRI applications (MR spectroscopy and chemical shift encoding MRI, solid state MRI and quantitative susceptibility mapping), which could provide additional biomarkers for the assessment of bone microarchitecture.
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Affiliation(s)
- Enrico Soldati
- CRMBM, CNRS, Aix Marseille University, 13385 Marseille, France;
- IUSTI, CNRS, Aix Marseille University, 13013 Marseille, France;
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
- Correspondence:
| | - Francesca Rossi
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
| | - Jerome Vicente
- IUSTI, CNRS, Aix Marseille University, 13013 Marseille, France;
| | - Daphne Guenoun
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Radiology, Institute for Locomotion, Saint-Marguerite Hospital, ISM, CNRS, APHM, Aix Marseille University, 13274 Marseille, France
| | - Martine Pithioux
- ISM, CNRS, Aix Marseille University, 13288 Marseille, France; (D.G.); (M.P.)
- Department of Orthopedics and Traumatology, Institute for Locomotion, Saint-Marguerite Hospital, ISM, CNRS, APHM, Aix Marseille University, 13274 Marseille, France
| | - Stefano Iotti
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
- National Institute of Biostructures and Biosystems, 00136 Rome, Italy
| | - Emil Malucelli
- Department of Pharmacy and Biotechnology, University of Bologna, 40126 Bologna, Italy; (F.R.); (S.I.); (E.M.)
| | - David Bendahan
- CRMBM, CNRS, Aix Marseille University, 13385 Marseille, France;
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14
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The relationship between orthopedic clinical imaging and bone strength prediction. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2021. [DOI: 10.1016/j.medntd.2021.100060] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
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15
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Jones BC, Jia S, Lee H, Feng A, Shetye SS, Batzdorf A, Shapira N, Noël PB, Pleshko N, Rajapakse CS. MRI-derived porosity index is associated with whole-bone stiffness and mineral density in human cadaveric femora. Bone 2021; 143:115774. [PMID: 33271401 PMCID: PMC7769997 DOI: 10.1016/j.bone.2020.115774] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 01/13/2023]
Abstract
Ultrashort echo time (UTE) magnetic resonance imaging (MRI) measures proton signals in cortical bone from two distinct water pools, bound water, or water that is tightly bound to bone matrix, and pore water, or water that is freely moving in the pore spaces in bone. By isolating the signal contribution from the pore water pool, UTE biomarkers can directly quantify cortical bone porosity in vivo. The Porosity Index (PI) is one non-invasive, clinically viable UTE-derived technique that has shown strong associations in the tibia with μCT porosity and other UTE measures of bone water. However, the efficacy of the PI biomarker has never been examined in the proximal femur, which is the site of the most catastrophic osteoporotic fractures. Additionally, the loads experienced during a sideways fall are complex and the femoral neck is difficult to image with UTE, so the usefulness of the PI in the femur was unknown. Therefore, the aim of this study was to examine the relationships between the PI measure in the proximal cortical shaft of human cadaveric femora specimens compared to (1) QCT-derived bone mineral density (BMD) and (2) whole bone stiffness obtained from mechanical testing mimicking a sideways fall. Fifteen fresh, frozen whole cadaveric femora specimens (age 72.1 ± 15.0 years old, 10 male, 5 female) were scanned on a clinical 3-T MRI using a dual-echo UTE sequence. Specimens were then scanned on a clinical CT scanner to measure volumetric BMD (vBMD) and then non-destructively mechanically tested in a sideways fall configuration. The PI in the cortical shaft demonstrated strong correlations with bone stiffness (r = -0.82, P = 0.0014), CT-derived vBMD (r = -0.64, P = 0.0149), and with average cortical thickness (r = -0.60, P = 0.0180). Furthermore, a hierarchical regression showed that PI was a strong predictor of bone stiffness which was independent of the other parameters. The findings from this study validate the MRI-derived porosity index as a useful measure of whole-bone mechanical integrity and stiffness.
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Affiliation(s)
- Brandon C Jones
- Department of Radiology, University of Pennsylvania, United States of America; Department of Bioengineering, University of Pennsylvania, United States of America.
| | - Shaowei Jia
- Department of Radiology, University of Pennsylvania, United States of America; School of Biomedical Science and Medical Engineering, Beihang University, China
| | - Hyunyeol Lee
- Department of Radiology, University of Pennsylvania, United States of America
| | - Anna Feng
- Department of Bioengineering, University of Pennsylvania, United States of America
| | - Snehal S Shetye
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Alexandra Batzdorf
- Department of Radiology, University of Pennsylvania, United States of America
| | - Nadav Shapira
- Department of Radiology, University of Pennsylvania, United States of America
| | - Peter B Noël
- Department of Radiology, University of Pennsylvania, United States of America
| | - Nancy Pleshko
- Department of Bioengineering, Temple University, United States of America
| | - Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, United States of America; Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
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16
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Bolger MW, Romanowicz GE, Kohn DH. Advancements in composition and structural characterization of bone to inform mechanical outcomes and modelling. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2020; 11:76-84. [PMID: 32864522 DOI: 10.1016/j.cobme.2019.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Advancements in imaging, computing, microscopy, chromatography, spectroscopy and biological manipulations of animal models, have allowed for a more thorough examination of the hierarchical structure and composition of the skeleton. The ability to map cellular and molecular changes to nano-scale chemical composition changes (mineral, collagen cross-links) and structural changes (porosity, lacuno-canalicular network) to whole bone mechanics is at the forefront of an exciting era of discovery. In addition, there is increasing ability to genetically mimic phenotypes of human disease in animal models to study these structural and compositional changes. Combined, these recent developments have increased the ability to understand perturbations at multiple length scales to better realize the structure-function relationship in bone and inform biomechanical models. The intent of this review is to describe the multiple scales at which bone can characterized, highlighting new techniques such that structural, compositional, and biological changes can be incorporated into biomechanical modeling.
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Affiliation(s)
- Morgan W Bolger
- Biomedical Engineering, College of Engineering, University of Michigan, MI, USA
| | - Genevieve E Romanowicz
- Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, MI, USA
| | - David H Kohn
- Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, MI, USA
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17
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Jerban S, Ma Y, Wei Z, Jang H, Chang EY, Du J. Quantitative Magnetic Resonance Imaging of Cortical and Trabecular Bone. Semin Musculoskelet Radiol 2020; 24:386-401. [PMID: 32992367 DOI: 10.1055/s-0040-1710355] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Bone is a composite material consisting of mineral, organic matrix, and water. Water in bone can be categorized as bound water (BW), which is bound to bone mineral and organic matrix, or as pore water (PW), which resides in Haversian canals as well as in lacunae and canaliculi. Bone is generally classified into two types: cortical bone and trabecular bone. Cortical bone is much denser than trabecular bone that is surrounded by marrow and fat. Magnetic resonance (MR) imaging has been increasingly used for noninvasive assessment of both cortical bone and trabecular bone. Bone typically appears as a signal void with conventional MR sequences because of its short T2*. Ultrashort echo time (UTE) sequences with echo times 100 to 1,000 times shorter than those of conventional sequences allow direct imaging of BW and PW in bone. This article summarizes several quantitative MR techniques recently developed for bone evaluation. Specifically, we discuss the use of UTE and adiabatic inversion recovery prepared UTE sequences to quantify BW and PW, UTE magnetization transfer sequences to quantify collagen backbone protons, UTE quantitative susceptibility mapping sequences to assess bone mineral, and conventional sequences for high-resolution imaging of PW as well as the evaluation of trabecular bone architecture.
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Affiliation(s)
- Saeed Jerban
- Department of Radiology, University of California, San Diego, California
| | - Yajun Ma
- Department of Radiology, University of California, San Diego, California
| | - Zhao Wei
- Department of Radiology, University of California, San Diego, California
| | - Hyungseok Jang
- Department of Radiology, University of California, San Diego, California
| | - Eric Y Chang
- Department of Radiology, University of California, San Diego, California.,Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Jiang Du
- Department of Radiology, University of California, San Diego, California
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18
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Ruderman I, Rajapakse CS, Opperman A, Robertson PL, Masterson R, Tiong MK, Toussaint ND. Bone microarchitecture in patients undergoing parathyroidectomy for management of secondary hyperparathyroidism. Bone Rep 2020; 13:100297. [PMID: 32760761 PMCID: PMC7393533 DOI: 10.1016/j.bonr.2020.100297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 07/03/2020] [Accepted: 07/06/2020] [Indexed: 12/14/2022] Open
Abstract
Background Secondary hyperparathyroidism (SHPT) in patients with chronic kidney disease (CKD) leads to complex bone disease, affecting both trabecular and cortical bone, and increased fracture risk. Optimal assessment of bone in patients with CKD is yet to be determined. High-resolution magnetic resonance imaging (MRI) can provide three-dimensional assessment of bone microarchitecture, as well as determination of mechanical strength with finite element analysis (FEA). Methods We conducted a single-centre, cross-sectional study to determine bone microarchitecture with MRI in CKD patients with SHPT undergoing parathyroidectomy. Within two weeks of surgery, MRI was performed at the distal tibia and biochemical markers of SHPT (parathyroid hormone [PTH] and alkaline phosphatase [ALP]) were collected. Trabecular and cortical topological parameters as well as bone mechanical competence using FEA were assessed. Correlation of MRI findings of bone was made with biochemical markers. Results Twenty patients with CKD (15 male, 5 female) underwent MRI at the time of parathyroidectomy (16 on dialysis, 3 with functioning kidney transplant, one pre-dialysis with CKD stage 5). Median PTH at the time of surgery was 138.5 pmol/L [39.6–186.7 pmol/L]. MRI parameters in patients were consistent with trabecular deterioration, with erosion index (EI) 1.01 ± 0.3, and trabecular bone volume (BV/TV) 10.8 ± 2.9%, as well as poor trabecular network integrity with surface-to-curve ratio (S/C) 5.4 ± 2.3. There was also evidence of reduced cortical thickness, with CTh 2.698 ± 0.630 mm, and FEA demonstrated overall poor bone mechanical strength with mean elastic modulus of 2.07 ± 0.44. Conclusion Patients with severe SHPT requiring parathyroidectomy have evidence of significant changes in bone microarchitecture with trabecular deterioration, low trabecular and cortical bone volume, and reduced mechanical competence of bone.
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Affiliation(s)
- Irene Ruderman
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine (RMH), The University of Melbourne, Parkville, Victoria, Australia
| | - Chamith S Rajapakse
- Departments of Radiology and Orthopaedic Surgery, University of Pennsylvania, PA, USA
| | - Angelica Opperman
- Departments of Radiology and Orthopaedic Surgery, University of Pennsylvania, PA, USA
| | - Patricia L Robertson
- Department of Radiology, The Royal Melbourne Hospital and The University of Melbourne, Parkville, Victoria, Australia
| | - Rosemary Masterson
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine (RMH), The University of Melbourne, Parkville, Victoria, Australia
| | - Mark K Tiong
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine (RMH), The University of Melbourne, Parkville, Victoria, Australia
| | - Nigel D Toussaint
- Department of Nephrology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.,Department of Medicine (RMH), The University of Melbourne, Parkville, Victoria, Australia
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19
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Rajapakse CS, Farid AR, Kargilis DC, Jones BC, Lee JS, Johncola AJ, Batzdorf AS, Shetye SS, Hast MW, Chang G. MRI-based assessment of proximal femur strength compared to mechanical testing. Bone 2020; 133:115227. [PMID: 31926345 PMCID: PMC7096175 DOI: 10.1016/j.bone.2020.115227] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 01/02/2020] [Accepted: 01/07/2020] [Indexed: 12/14/2022]
Abstract
Half of the women who sustain a hip fracture would not qualify for osteoporosis treatment based on current DXA-estimated bone mineral density criteria. Therefore, a better approach is needed to determine if an individual is at risk of hip fracture from a fall. The objective of this study was to determine the association between radiation-free MRI-derived bone strength and strain simulations compared to results from direct mechanical testing of cadaveric femora. Imaging was conducted on a 3-Tesla MRI scanner using two sequences: one balanced steady-state free precession sequence with 300 μm isotropic voxel size and one spoiled gradient echo with anisotropic voxel size of 234 × 234 × 1500 μm. Femora were dissected free of soft-tissue and 4350-ohm strain-gauges were securely applied to surfaces at the femoral shaft, inferior neck, greater trochanter, and superior neck. Cadavers were mechanically tested with a hydraulic universal test frame to simulate loading in a sideways fall orientation. Sideways fall forces were simulated on MRI-based finite element meshes and bone stiffness, failure force, and force for plastic deformation were computed. Simulated bone strength metrics from the 300 μm isotropic sequence showed strong agreement with experimentally obtained values of bone strength, with stiffness (r = 0.88, p = 0.0002), plastic deformation point (r = 0.89, p < 0.0001), and failure force (r = 0.92, p < 0.0001). The anisotropic sequence showed similar trends for stiffness, plastic deformation point, and failure force (r = 0.68, 0.70, 0.84; p = 0.02, 0.01, 0.0006, respectively). Surface strain-gauge measurements showed moderate to strong agreement with simulated magnitude strain values at the greater trochanter, superior neck, and inferior neck (r = -0.97, -0.86, 0.80; p ≤0.0001, 0.003, 0.03, respectively). The findings from this study support the use of MRI-based FE analysis of the hip to reliably predict the mechanical competence of the human femur in clinical settings.
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Affiliation(s)
- Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, United States of America; Department of Orthopaedic Surgery, University of Pennsylvania, United States of America.
| | - Alexander R Farid
- Department of Radiology, University of Pennsylvania, United States of America
| | - Daniel C Kargilis
- Department of Radiology, University of Pennsylvania, United States of America
| | - Brandon C Jones
- Department of Radiology, University of Pennsylvania, United States of America
| | - Jae S Lee
- Department of Radiology, University of Pennsylvania, United States of America
| | - Alyssa J Johncola
- Department of Radiology, University of Pennsylvania, United States of America
| | | | - Snehal S Shetye
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Michael W Hast
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Gregory Chang
- Department of Radiology, New York University, United States of America
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20
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Alcântara ACS, Assis I, Prada D, Mehle K, Schwan S, Costa-Paiva L, Skaf MS, Wrobel LC, Sollero P. Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey. MATERIALS (BASEL, SWITZERLAND) 2019; 13:E106. [PMID: 31878356 PMCID: PMC6981613 DOI: 10.3390/ma13010106] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/26/2022]
Abstract
This paper provides a starting point for researchers and practitioners from biology, medicine, physics and engineering who can benefit from an up-to-date literature survey on patient-specific bone fracture modelling, simulation and risk analysis. This survey hints at a framework for devising realistic patient-specific bone fracture simulations. This paper has 18 sections: Section 1 presents the main interested parties; Section 2 explains the organzation of the text; Section 3 motivates further work on patient-specific bone fracture simulation; Section 4 motivates this survey; Section 5 concerns the collection of bibliographical references; Section 6 motivates the physico-mathematical approach to bone fracture; Section 7 presents the modelling of bone as a continuum; Section 8 categorizes the surveyed literature into a continuum mechanics framework; Section 9 concerns the computational modelling of bone geometry; Section 10 concerns the estimation of bone mechanical properties; Section 11 concerns the selection of boundary conditions representative of bone trauma; Section 12 concerns bone fracture simulation; Section 13 presents the multiscale structure of bone; Section 14 concerns the multiscale mathematical modelling of bone; Section 15 concerns the experimental validation of bone fracture simulations; Section 16 concerns bone fracture risk assessment. Lastly, glossaries for symbols, acronyms, and physico-mathematical terms are provided.
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Affiliation(s)
- Amadeus C. S. Alcântara
- Department of Computational Mechanics, School of Mechanical Engineering, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-860, Brazil; (A.C.S.A.); (D.P.)
| | - Israel Assis
- Department of Integrated Systems, School of Mechanical Engineering, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-860, Brazil;
| | - Daniel Prada
- Department of Computational Mechanics, School of Mechanical Engineering, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-860, Brazil; (A.C.S.A.); (D.P.)
| | - Konrad Mehle
- Department of Engineering and Natural Sciences, University of Applied Sciences Merseburg, 06217 Merseburg, Germany;
| | - Stefan Schwan
- Fraunhofer Institute for Microstructure of Materials and Systems IMWS, 06120 Halle/Saale, Germany;
| | - Lúcia Costa-Paiva
- Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-887, Brazil;
| | - Munir S. Skaf
- Institute of Chemistry and Center for Computing in Engineering and Sciences, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-860, Brazil;
| | - Luiz C. Wrobel
- Institute of Materials and Manufacturing, Brunel University London, Uxbridge UB8 3PH, UK;
- Department of Civil and Environmental Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro 22451-900, Brazil
| | - Paulo Sollero
- Department of Computational Mechanics, School of Mechanical Engineering, University of Campinas—UNICAMP, Campinas, Sao Paulo 13083-860, Brazil; (A.C.S.A.); (D.P.)
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21
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Hong AL, Ispiryan M, Padalkar MV, Jones BC, Batzdorf AS, Shetye SS, Pleshko N, Rajapakse CS. MRI-derived bone porosity index correlates to bone composition and mechanical stiffness. Bone Rep 2019; 11:100213. [PMID: 31372372 PMCID: PMC6660551 DOI: 10.1016/j.bonr.2019.100213] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 06/13/2019] [Accepted: 06/19/2019] [Indexed: 01/11/2023] Open
Abstract
The MRI-derived porosity index (PI) is a non-invasively obtained biomarker based on an ultrashort echo time sequence that images both bound and pore water protons in bone, corresponding to water bound to organic collagenous matrix and freely moving water, respectively. This measure is known to strongly correlate with the actual volumetric cortical bone porosity. However, it is unknown whether PI may also be able to directly quantify bone organic composition and/or mechanical properties. We investigated this in human cadaveric tibiae by comparing PI values to near infrared spectral imaging (NIRSI) compositional data and mechanical compression data. Data were obtained from a cohort of eighteen tibiae from male and female donors with a mean ± SD age of 70 ± 21 years. Biomechanical stiffness in compression and NIRSI-derived collagen and bound water content all had significant inverse correlations with PI (r = −0.79, −0.73, and −0.95 and p = 0.002, 0.007, and <0.001, respectively). The MRI-derived bone PI alone was a moderate predictor of bone stiffness (R2 = 0.63, p = 0.002), and multivariate analyses showed that neither cortical bone cross-sectional area nor NIRSI values improved bone stiffness prediction compared to PI alone. However, NIRSI-obtained collagen and water data together were a moderate predictor of bone stiffness (R2 = 0.52, p = 0.04). Our data validates the MRI-derived porosity index as a strong predictor of organic composition of bone and a moderate predictor of bone stiffness, and also provides preliminary evidence that NIRSI measures may be useful in future pre-clinical studies on bone pathology.
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Affiliation(s)
- Abigail L Hong
- Department of Radiology, University of Pennsylvania, United States of America
| | - Mikayel Ispiryan
- Department of Radiology, University of Pennsylvania, United States of America
| | - Mugdha V Padalkar
- Department of Bioengineering, Temple University, United States of America
| | - Brandon C Jones
- Department of Radiology, University of Pennsylvania, United States of America.,Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | | | - Snehal S Shetye
- Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
| | - Nancy Pleshko
- Department of Bioengineering, Temple University, United States of America
| | - Chamith S Rajapakse
- Department of Radiology, University of Pennsylvania, United States of America.,Department of Orthopaedic Surgery, University of Pennsylvania, United States of America
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22
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Rajapakse CS, Gupta N, Evans M, Alizai H, Shukurova M, Hong AL, Cruickshank NJ, Tejwani N, Egol K, Honig S, Chang G. Influence of bone lesion location on femoral bone strength assessed by MRI-based finite-element modeling. Bone 2019; 122:209-217. [PMID: 30851438 PMCID: PMC6486650 DOI: 10.1016/j.bone.2019.03.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 02/22/2019] [Accepted: 03/05/2019] [Indexed: 12/21/2022]
Abstract
Currently, clinical determination of pathologic fracture risk in the hip is conducted using measures of defect size and shape in the stance loading condition. However, these measures often do not consider how changing lesion locations or how various loading conditions impact bone strength. The goal of this study was to determine the impact of defect location on bone strength parameters in both the sideways fall and stance-loading conditions. We recruited 20 female subjects aged 48-77 years for this study and performed MRI of the proximal femur. Using these images, we simulated 10-mm pathologic defects in greater trochanter, superior, middle, and inferior femoral head, superior, middle, and inferior femoral neck, and lateral, middle, and medial proximal diaphysis to determine the effect of defect location on change in bone strength by performing finite element analysis. We compared the effect of each osteolytic lesion on bone stiffness, strength, resilience, and toughness. For the sideways fall loading, defects in the inferior femoral head (12.21%) and in the greater trochanter (6.43%) resulted in the greatest overall reduction in bone strength. For the stance loading, defects in the mid femoral head (-7.91%) and superior femoral head (-7.82%) resulted in the greatest overall reduction in bone strength. Changes in stiffness, yield force, ultimate force, resilience, and toughness were not found to be significantly correlated between the sideways fall and stance-loading for the majority of defect locations, suggesting that calculations based on the stance-loading condition are not predictive of the change in bone strength experienced in the sideways fall condition. While stiffness was significantly related to yield force (R2 > 0.82), overall force (R2 > 0.59), and resilience (R2 > 0.55), in both, the stance-loading and sideways fall conditions for most defect locations, stiffness was not significantly related to toughness. Therefore, structure-dependent measure such as stiffness may not fully explain the post-yield measures, which depend on material failure properties. The data showed that MRI-based models have the sensitivity to determine the effect of pathologic lesions on bone strength.
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Affiliation(s)
| | - Nishtha Gupta
- University of Pennsylvania, Philadelphia, PA, United States of America
| | - Marissa Evans
- University of Pennsylvania, Philadelphia, PA, United States of America
| | - Hamza Alizai
- New York University, New York, NY, United States of America
| | - Malika Shukurova
- University of Pennsylvania, Philadelphia, PA, United States of America
| | - Abigail L Hong
- University of Pennsylvania, Philadelphia, PA, United States of America
| | | | - Nirmal Tejwani
- New York University, New York, NY, United States of America
| | - Kenneth Egol
- New York University, New York, NY, United States of America
| | - Stephen Honig
- New York University, New York, NY, United States of America
| | - Gregory Chang
- New York University, New York, NY, United States of America
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23
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Gozar H, Chira A, Nagy Ö, Derzsi Z. Medical Use of Finite Element Modeling of the Ankle and Foot. JOURNAL OF INTERDISCIPLINARY MEDICINE 2018. [DOI: 10.1515/jim-2018-0001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Finite element modeling is a field of medicine with great potential future in experimental studies and in daily clinical practice as well. Computational modeling is currently used in several medical applications including orthopedics, cardiovascular surgery, and dentistry. In orthopedics, this method allows a proper understanding of joint behavior, as well as of more complex articular biomechanics that are encountered in several conditions such as ankle fractures or congenital clubfoot. Currently, there is little data on the development of a 3D finite element-defined model for congenital clubfoot. This paper aims to summarize the current status of knowledge and applications of finite element modeling of the foot and ankle.
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Affiliation(s)
- Horea Gozar
- Discipline of Pediatric Surgery and Orthopedics , University of Medicine and Pharmacy , Tîrgu Mureş , Romania
| | - Alexandru Chira
- Department of Structural Mechanics, Faculty of Civil Engineering , Technical University of Cluj-Napoca , Romania
| | - Örs Nagy
- Discipline of Orthopedics I , University of Medicine and Pharmacy , Tîrgu Mureş , Romania
| | - Zoltán Derzsi
- Discipline of Pediatric Surgery and Orthopedics , University of Medicine and Pharmacy , Tîrgu Mureş , Romania
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24
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Rajapakse CS, Chang G. Micro-Finite Element Analysis of the Proximal Femur on the Basis of High-Resolution Magnetic Resonance Images. Curr Osteoporos Rep 2018; 16:657-664. [PMID: 30232586 PMCID: PMC6234089 DOI: 10.1007/s11914-018-0481-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
PURPOSE OF REVIEW Hip fractures have catastrophic consequences. The purpose of this article is to review recent developments in high-resolution magnetic resonance imaging (MRI)-guided finite element analysis (FEA) of the hip as a means to determine subject-specific bone strength. RECENT FINDINGS Despite the ability of DXA to predict hip fracture, the majority of fractures occur in patients who do not have BMD T scores less than - 2.5. Therefore, without other detection methods, these individuals go undetected and untreated. Of methods available to image the hip, MRI is currently the only one capable of depicting bone microstructure in vivo. Availability of microstructural MRI allows generation of patient-specific micro-finite element models that can be used to simulate real-life loading conditions and determine bone strength. MRI-based FEA enables radiation-free approach to assess hip fracture strength. With further validation, this technique could become a potential clinical tool in managing hip fracture risk.
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Affiliation(s)
- Chamith S Rajapakse
- Departments of Radiology and Orthopaedic Surgery, University of Pennsylvania, 3400 Spruce Street, 1 Founders Building, Philadelphia, PA, 19104, USA.
| | - Gregory Chang
- Department of Radiology, New York University, 426 1st Avenue, New York, NY, 10010, USA
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