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Bevers MSAM, Heyer FL, Wyers CE, van Rietbergen B, Geusens PPMM, Janzing HMJ, Lambers Heerspink O, Poeze M, van den Bergh JP. The contribution of lower-mineralized tissue to the healing of distal radius fractures assessed using HR-pQCT. Bone 2023; 175:116859. [PMID: 37507063 DOI: 10.1016/j.bone.2023.116859] [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: 05/17/2023] [Revised: 07/03/2023] [Accepted: 07/25/2023] [Indexed: 07/30/2023]
Abstract
High-resolution peripheral quantitative CT (HR-pQCT) enables quantitative assessment of distal radius fracture healing. In previous studies, lower-mineralized tissue formation was observed on HR-pQCT scans, starting early during healing, but the contribution of this tissue to the stiffness of distal radius fractures is unknown. Therefore, the aim of this study was to investigate the contribution of lower-mineralized tissue to the stiffness of fractured distal radii during the first twelve weeks of healing. We did so by combining the results from two series of micro-finite element (μFE-) models obtained using different density thresholds for bone segmentation. Forty-five postmenopausal women with a conservatively-treated distal radius fracture had HR-pQCT scans of their fractured radius at baseline (BL; 1-2 weeks post-fracture), 3-4 weeks, 6-8 weeks, and 12 weeks post-fracture. Compression stiffness (S) was computed using two series of μFE-models from the scans: one series (Msingle) included only higher-mineralized tissue (>320 mg HA/cm3), and one series (Mdual) differentiated between lower-mineralized tissue (200-320 mg HA/cm3) and higher-mineralized tissue. μFE-elements were assigned a Young's Modulus of 10 GPa (higher-mineralized tissue) or 5 GPa (lower-mineralized tissue), and an axial compression test to 1 % strain was simulated. The contribution of the lower-mineralized tissue to S was quantified as the ratio Sdual/Ssingle. Changes during healing were quantified using linear mixed effects models and expressed as estimated marginal means (EMMs) with 95 %-confidence intervals (95 %-CI). Median time to cast removal was 5.0 (IQR: 1.1) weeks. Sdual and Ssingle gradually increased during healing to a significantly higher value than BL at 12 weeks post-fracture (both p < 0.0001). In contrast, Sdual/Ssingle was significantly higher than BL at 3-4 weeks post-fracture (p = 0.0010), remained significantly higher at 6-8 weeks post-fracture (p < 0.0001), and then decreased to BL-values at the 12-week visit. EMMs ranged between 1.05 (95 %-CI: 1.04-1.06) and 1.08 (95 %-CI: 1.07-1.10). To conclude, combining stiffness results from two series of μFE-models obtained using single- and dual-threshold segmentation enables quantification of the contribution of lower-mineralized tissue to the stiffness of distal radius fractures during healing. This contribution is minor but changes significantly around the time of cast removal. Its course and timing during healing may be clinically relevant. Quantification of the contribution of lower-mineralized tissue to stiffness gives a more complete impression of strength recovery post-fracture than the evaluation of stiffness using a single series of μFE-models.
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Affiliation(s)
- Melissa S A M Bevers
- Department of Internal Medicine, VieCuri Medical Center, Venlo, the Netherlands; NUTRIM School for Nutrition and Translational Research In Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Frans L Heyer
- NUTRIM School for Nutrition and Translational Research In Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Surgery, VieCuri Medical Center, Venlo, the Netherlands
| | - Caroline E Wyers
- Department of Internal Medicine, VieCuri Medical Center, Venlo, the Netherlands; NUTRIM School for Nutrition and Translational Research In Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Internal Medicine, Subdivision of Rheumatology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Bert van Rietbergen
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Department of Orthopedic Surgery, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Piet P M M Geusens
- Department of Internal Medicine, Subdivision of Rheumatology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Medicine and Life Sciences, Hasselt University, Belgium
| | | | | | - Martijn Poeze
- NUTRIM School for Nutrition and Translational Research In Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Surgery and Trauma Surgery, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Joop P van den Bergh
- Department of Internal Medicine, VieCuri Medical Center, Venlo, the Netherlands; NUTRIM School for Nutrition and Translational Research In Metabolism, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Internal Medicine, Subdivision of Rheumatology, Maastricht University Medical Center, Maastricht, the Netherlands.
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Sen A, Follet H, Sornay-Rendu E, Rémond Y, George D. Prediction of osteoporotic degradation of tibia human bone at trabecular scale. J Mech Behav Biomed Mater 2023; 139:105650. [PMID: 36657191 DOI: 10.1016/j.jmbbm.2023.105650] [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: 08/27/2022] [Revised: 11/18/2022] [Accepted: 01/01/2023] [Indexed: 01/11/2023]
Abstract
A theoretical numerical model is proposed to predict patient dependent osteoporotic bone degradation. The model parameters are identified through a particle swarm optimization algorithm and based on individual patient high resolution peripherical quantitative computer tomography (HRpQCT) scan data. The degradation model is based on cellular activity initiated by the elastic strain energy developed in the bone microstructure through patient's body weight. The macro (organ scale) and meso (trabecular scale) scale analyses are carried out and predicted bone volume fraction and microstructure evolution are compared with in-vivo experimental bone degradation for four elderly women over a period of 10 years. A significant correlation (r > 0.9) is observed between the model predictions and in-vivo experiments in all cases with an average deviation error of 1.46%. The model can easily be extended to other patients and provide good predictions for different population categories such as ethnicity, gender, age, etc.
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Affiliation(s)
- Ahmet Sen
- University of Strasbourg, CNRS, ICUBE Laboratory, Strasbourg, France
| | - Hélène Follet
- University Claude Bernard Lyon 1, INSERM, LYOS UMR 1033, 69008, Lyon, France.
| | - Elisabeth Sornay-Rendu
- University Claude Bernard Lyon 1, INSERM, LYOS UMR 1033, 69008, Lyon, France; Edouard Heriot Hospital, Hospices Civils of Lyon, 69437, Lyon, France
| | - Yves Rémond
- University of Strasbourg, CNRS, ICUBE Laboratory, Strasbourg, France
| | - Daniel George
- University of Strasbourg, CNRS, ICUBE Laboratory, Strasbourg, France.
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Hosseinitabatabaei S, Mikolajewicz N, Zimmermann EA, Rummler M, Steyn B, Julien C, Rauch F, Willie BM. 3D Image Registration Marginally Improves the Precision of HR-pQCT Measurements Compared to Cross-Sectional-Area Registration in Adults With Osteogenesis Imperfecta. J Bone Miner Res 2022; 37:908-924. [PMID: 35258112 DOI: 10.1002/jbmr.4541] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 02/05/2022] [Accepted: 03/04/2022] [Indexed: 11/09/2022]
Abstract
Repositioning error in longitudinal high-resolution peripheral-quantitative computed tomography (HR-pQCT) imaging can lead to different bone volumes being assessed over time. To identify the same bone volumes at each time point, image registration is used. While cross-sectional area image registration corrects axial misalignment, 3D registration additionally corrects rotations. Other registration methods involving matched angle analysis (MA) or boundary transformations (3D-TB) can be used to limit interpolation error in 3D-registering micro-finite-element data. We investigated the effect of different image registration methods on short-term in vivo precision in adults with osteogenesis imperfecta, a collagen-related genetic disorder resulting in low bone mass, impaired quality, and increased fragility. The radii and tibiae of 29 participants were imaged twice on the same day with full repositioning. We compared the precision error of different image registration methods for density, microstructural, and micro-finite-element outcomes with data stratified based on anatomical site, motion status, and scanner generation. Regardless of the stratification, we found that image registration improved precision for total and trabecular bone mineral densities, trabecular and cortical bone mineral contents, area measurements, trabecular bone volume fraction, separation, and heterogeneity, as well as cortical thickness and perimeter. 3D registration marginally outperformed cross-sectional area registration for some outcomes, such as trabecular bone volume fraction and separation. Similarly, precision of micro-finite-element outcomes was improved after image registration, with 3D-TB and MA methods providing greatest improvements. Our regression model confirmed the beneficial effect of image registration on HR-pQCT precision errors, whereas motion had a detrimental effect on precision even after image registration. Collectively, our results indicate that 3D registration is recommended for longitudinal HR-pQCT imaging in adults with osteogenesis imperfecta. Since our precision errors are similar to those of healthy adults, these results can likely be extended to other populations, although future studies are needed to confirm this. © 2022 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Seyedmahdi Hosseinitabatabaei
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada.,Department of Biomedical Engineering, McGill University, Montreal, Canada.,Department of Pediatric Surgery, McGill University, Montreal, Canada
| | | | - Elizabeth A Zimmermann
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada
| | - Maximilian Rummler
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada.,Department of Pediatric Surgery, McGill University, Montreal, Canada
| | - Beatrice Steyn
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada.,Department of Biomedical Engineering, McGill University, Montreal, Canada.,Department of Pediatric Surgery, McGill University, Montreal, Canada
| | - Catherine Julien
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada.,Department of Pediatric Surgery, McGill University, Montreal, Canada
| | - Frank Rauch
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada
| | - Bettina M Willie
- Research Centre, Shriners Hospital for Children-Canada, Montreal, Canada.,Department of Biomedical Engineering, McGill University, Montreal, Canada.,Department of Pediatric Surgery, McGill University, Montreal, Canada
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Pang Q, Xu Y, Huang L, Li Y, Lin Y, Hou Y, Hung VW, Qi X, Ni X, Li M, Jiang Y, Wang O, Xing X, Qin L, Xia W. Bone Geometry, Density, Microstructure, and Biomechanical Properties in the Distal Tibia in Patients With Primary Hypertrophic Osteoarthropathy Assessed by Second-Generation High-Resolution Peripheral Quantitative Computed Tomography. J Bone Miner Res 2022; 37:484-493. [PMID: 34894003 DOI: 10.1002/jbmr.4488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 11/28/2021] [Accepted: 12/08/2021] [Indexed: 11/11/2022]
Abstract
Periosteosis refers to pathological woven bone formation beneath the cortical bone of the long bones. It is an imaging hallmark of primary hypertrophic osteoarthropathy (PHO) and also considered as one of the major diagnostic criteria of PHO patients. Up to date, detailed information on bone quality changes in long bones of PHO patients is still missing. This study aimed to evaluate bone microarchitecture and bone strength in PHO patients by using high-resolution peripheral quantitative computed tomography (HR-pQCT). The study comprised 20 male PHO patients with the average age of 27.0 years and 20 age- and sex-matched healthy controls. The areal bone mineral density (aBMD) was assessed at the lumbar spine (L1 -L4 ) and hip (total hip and femoral neck) by dual-energy X-ray absorptiometry (DXA). Bone geometry, volumetric bone mineral density (vBMD), and microstructure parameters at the distal tibia were evaluated by using HR-pQCT. Bone strength was evaluated by finite element analysis (FEA) based on HR-pQCT screening at distal tibia. Urinary prostaglandin E2 (PGE2 ), serum phosphatase (ALP), beta-C-telopeptides of type I collagen (β-CTX), soluble receptor activator of nuclear factor-κB ligand (sRANKL), osteoprotegerin (OPG), and neuronal calcitonin gene-related peptide (CGRP) were investigated. As compared with healthy controls, PHO patients had larger bone cross-sectional areas; lower total, trabecular, and cortical vBMD; compromised bone microstructures with more porous cortices, thinned trabeculae, reduced trabecular connectivity, and relatively more significant resorption of rod-like trabeculae at distal tibia. The apparent Young's modulus was significantly lower in PHO patients. The concentration of PGE2 , biomarkers of bone resorption (β-CTX and sRANKL/OPG ratio), and the neuropeptide CGRP were higher in PHO patients versus healthy controls. PGE2 level correlated negatively with vBMD and estimated bone strength and positively with bone geometry at distal tibia. The present HR-pQCT study is the first one illustrating the microarchitecture and bone strength features in long bones. © 2021 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Qianqian Pang
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.,Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Yuping Xu
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Le Huang
- Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Ye Li
- Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Yuanyuan Lin
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yanfang Hou
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Vivian W Hung
- Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Xuan Qi
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaolin Ni
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Mei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Jiang
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Ou Wang
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoping Xing
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Qin
- Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong
| | - Weibo Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, NHC, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
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