1
|
He J, Pan Z, Zhou G, Yu J, Li D. Integrated analysis of clinical indicators and mechanical properties in cancellous bone. Med Eng Phys 2024; 133:104245. [PMID: 39557501 DOI: 10.1016/j.medengphy.2024.104245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 09/05/2024] [Accepted: 10/14/2024] [Indexed: 11/20/2024]
Abstract
Cancellous bone plays a critical role as a shock absorber in the human skeletal system. Accurate assessment of its microstructure and mechanical properties is crucial for osteoporosis diagnosis and treatment. However, various methods with different indicators are adopted currently in the clinical and laboratory assessments which lead to confusion and inconvenience for cancellous bone analysis. In the current work, correlations among clinical indicators including CT-derived Hounsfield Unit (HU) & bone mineral density (BMD), laboratory indicators (mass density & volume fraction), and mechanical properties (modulus & strength) are explored. The results show that different indicators can be linearly linked through the HU value which can be adopted as a good microstructure indicator of cancellous bone. Additionally, the impacts of cancellous bone specimen preparation on clinical CT imaging and mechanical properties are also investigated. The results indicate common marrow-removal treatment can lead to decrease in mean HU value, deviation in HU value distribution, while it will increase the modulus and strength. The current work provides a valuable insight into the cancellous properties based on comprehensive analysis on the clinical and laboratory assessments which is critical for accurate diagnosis and personalized treatment.
Collapse
Affiliation(s)
- Jiapeng He
- School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zhen Pan
- Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guowei Zhou
- School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Jiangming Yu
- Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Dayong Li
- School of Mechanical and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| |
Collapse
|
2
|
Scott JW, Ng KCG, Liddle AD, Jeffers JRT. Method for accurate removal of trabecular bone samples from a curved articulating surface of the distal femur. Clin Biomech (Bristol, Avon) 2024; 115:106240. [PMID: 38615548 DOI: 10.1016/j.clinbiomech.2024.106240] [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: 11/13/2023] [Revised: 03/06/2024] [Accepted: 04/09/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Knowing the mechanical properties of trabecular bone is critical for many branches of orthopaedic research. Trabecular bone is anisotropic and the principal trabecular direction is usually aligned with the load it transmits. It is therefore critical that the mechanical properties are measured as close as possible to this direction, which is often perpendicular to a curved articulating surface. METHODS This study presents a method to extract trabecular bone cores perpendicular to a curved articulating surface of the distal femur. Cutting guides were generated from computed tomography scans of 12 human distal femora and a series of cutting tools were used to release cylindrical bone cores from the femora. The bone cores were then measured to identify the angle between the bone core axis and the principal trabecular axis. FINDINGS The method yielded an 83% success rate in core extraction over 10 core locations per distal femur specimen. In the condyles, 97% of extracted cores were aligned with the principal trabecular direction. INTERPRETATION This method is a reliable way of extracting trabecular bone specimens perpendicular to a curved articular surface and could be useful across the field of orthopaedic research.
Collapse
Affiliation(s)
- James W Scott
- Biomechanics Group, Mechanical Engineering Department, Imperial College London, United Kingdom.
| | - K C Geoffrey Ng
- Department of Medical Biophysics, Western University, Canada; Department of Medical Imaging, Western University, Canada; Department of Surgery, Western University, Canada; Robarts Research Institute, Western University, Canada; MSk Lab, Department of Surgery and Cancer, Imperial College London, United Kingdom
| | - Alexander D Liddle
- MSk Lab, Department of Surgery and Cancer, Imperial College London, United Kingdom
| | - Jonathan R T Jeffers
- Biomechanics Group, Mechanical Engineering Department, Imperial College London, United Kingdom
| |
Collapse
|
3
|
Yan Z, Hu Y, Shi H, Wang P, Liu Z, Tian Y, Zhuang Z. Experimentally characterizing the spatially varying anisotropic mechanical property of cancellous bone via a Bayesian calibration method. J Mech Behav Biomed Mater 2023; 138:105643. [PMID: 36603525 DOI: 10.1016/j.jmbbm.2022.105643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 12/07/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022]
Abstract
Traditional experimental tests for characterizing bone's mechanical properties usually hypothesize a uniaxial stress condition without quantitatively evaluating the influence of spatially varying principal material orientations, which cannot accurately predict the mechanical properties distribution of bones in vivo environment. In this study, a Bayesian calibrating procedure was developed using quantified multiaxial stress to investigate cancellous bone's local anisotropic elastic performance around joints as the spatial variation of main bearing orientations. First, the bone cube specimens from the distal femur of sheep are prepared using traditional anatomical axes. The multiaxial stress state of each bone specimen is calibrated using the actual principal material orientations derived from fabric tensor at different anatomical locations. Based on the calibrated multiaxial stress state, the process of identifying mechanical properties is described as an inverse problem. Then, a Bayesian calibration procedure based on a surrogate constitutive model was developed via multiaxial stress correction to identify the anisotropic material parameters. Finally, a comparison between the experiment and simulation results is discussed by applying the optimal model parameters obtained from the Bayesian probability distribution. Compared to traditional uniaxial methods, our results prove that the calibration based on the spatial variation of the main bearing orientations can significantly improve the accuracy of characterizing regional anisotropic mechanical responses. Moreover, we determine that the actual mechanical property distribution is influenced by complicated mechanical stimulation. This study provides a novel method to evaluate the spatially varying mechanical properties of bone tissues enduring complex mechanical loading accurately and effectively. It is expected to provide more realistic mechanical design targets in vivo for a personalized artificial bone prosthesis in clinical treatment.
Collapse
Affiliation(s)
- Ziming Yan
- Applied Mechanics Laboratory, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing, 100084, China
| | - Yuanyu Hu
- Department of Orthopedics, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Huibin Shi
- Applied Mechanics Laboratory, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing, 100084, China
| | - Peng Wang
- Applied Mechanics Laboratory, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing, 100084, China
| | - Zhanli Liu
- Applied Mechanics Laboratory, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing, 100084, China.
| | - Yun Tian
- Department of Orthopedics, Peking University Third Hospital, No. 49 North Garden Road, Haidian District, Beijing, 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, No. 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Zhuo Zhuang
- Applied Mechanics Laboratory, Department of Engineering Mechanics, School of Aerospace, Tsinghua University, Beijing, 100084, China
| |
Collapse
|
4
|
Burge TA, Jeffers J, Myant C. Performance and Sensitivity Analysis of an Automated X-Ray Based Total Knee Replacement Mass-Customization Pipeline. J Med Device 2022. [DOI: 10.1115/1.4055000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Abstract
A proof-of-concept, fully automated, mass-customization pipeline for knee replacement surgery is outlined. The pipeline aims to address the limitations of currently available customization solutions by removing the need for 3D imaging and manual design, minimizing lead times, and reducing costs, whilst enabling improved patient outcomes.
The dataflow of the pipeline and methods for assessing performance are detailed. A digitally reconstructed radiograph method was adopted in the analysis to remove errors stemming from poor X-ray alignment and calibration, and to enable the influence of specific attributes to be evaluated. A sensitivity study was performed to quantify the impact of X-ray alignment and calibration.
The analysis found better results were achieved for the tibia over the femur in terms of clinically significant component over/under-hang (9% vs 18%). The pipeline was sensitive to subject ethnicity, but this was likely due to limited diversity in the training data. Arthritis severity was found to impact performance, suggesting further work is required to confirm suitability for use with more severe cases. X-ray alignment and dimensional calibration were shown to be paramount for accurate results. The pipeline performance was demonstrated to be superior to results reported for off-the-shelf implants, but customization solutions based on 3D imaging could afford marginally better results.
In summary, the study validated the pipeline for a broad range of subjects, highlighted its potential advantages over both off-the-shelf and other customization alternatives, and outlined the potential challenges of adopting such a tool.
Collapse
Affiliation(s)
- Thomas A Burge
- Dyson School of Design Engineering, Imperial College , London, UK, SW7 2BU
| | - Jonathan Jeffers
- Department of Mechanical Engineering, Imperial College , London, UK, SW7 2BU
| | - Connor Myant
- Dyson School of Design Engineering, Imperial College , London, UK, SW7 2BU
| |
Collapse
|