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Nedrelow DS, Townsend JM, Detamore MS. Osteochondral Regeneration With Anatomical Scaffold 3D-Printing-Design Considerations for Interface Integration. J Biomed Mater Res A 2024. [PMID: 39387548 DOI: 10.1002/jbm.a.37804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 09/12/2024] [Accepted: 09/17/2024] [Indexed: 10/15/2024]
Abstract
There is a clinical need for osteochondral scaffolds with complex geometries for restoring articulating joint surfaces. To address that need, 3D-printing has enabled scaffolds to be created with anatomically shaped geometries and interconnected internal architectures, going beyond simple plug-shaped scaffolds that are limited to small, cylindrical, focal defects. A key challenge for restoring articulating joint surfaces with 3D-printed constructs is the mechanical loading environment, particularly to withstand delamination or mechanical failure. Although the mechanical performance of interfacial scaffolds is essential, interface strength testing has rarely been emphasized in prior studies with stratified scaffolds. In the pioneering studies where interface strength was assessed, varying methods were employed, which has made direct comparisons difficult. Therefore, the current review focused on 3D-printed scaffolds for osteochondral applications with an emphasis on interface integration and biomechanical evaluation. This 3D-printing focus included both multiphasic cylindrical scaffolds and anatomically shaped scaffolds. Combinations of different 3D-printing methods (e.g., fused deposition modeling, stereolithography, bioprinting with pneumatic extrusion of cell-laden hydrogels) have been employed in a handful of studies to integrate osteoinductive and chondroinductive regions into a single scaffold. Most 3D-printed multiphasic structures utilized either an interdigitating or a mechanical interlocking design to strengthen the construct interface and to prevent delamination during function. The most effective approach to combine phases may be to infill a robust 3D-printed osteal polymer with an interlocking chondral phase hydrogel. Mechanical interlocking is therefore recommended for scaling up multiphasic scaffold applications to larger anatomically shaped joint surface regeneration. For the evaluation of layer integration, the interface shear test is recommended to avoid artifacts or variability that may be associated with alternative approaches that require adhesives or mechanical grips. The 3D-printing literature with interfacial scaffolds provides a compelling foundation for continued work toward successful regeneration of injured or diseased osteochondral tissues in load-bearing joints such as the knee, hip, or temporomandibular joint.
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Affiliation(s)
- David S Nedrelow
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA
- College of Dentistry, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Jakob M Townsend
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA
| | - Michael S Detamore
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA
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Neeteson NJ, Bugbird AR, Burt LA, Boyd SK. Statistical investigation of interdependence of trabecular microarchitectural parameters from micro-computed tomography. Bone 2024; 187:117144. [PMID: 38834103 DOI: 10.1016/j.bone.2024.117144] [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: 12/03/2023] [Revised: 05/25/2024] [Accepted: 06/01/2024] [Indexed: 06/06/2024]
Abstract
Standard microarchitectural analysis of bone using micro-computed tomography produces a large number of parameters that quantify the structure of the trabecular network. Analyses that perform statistical tests on many parameters are at elevated risk of making Type I errors. However, when multiple testing correction procedures are applied, the risk of Type II errors is elevated if the parameters being tested are strongly correlated. In this article, we argue that four commonly used trabecular microarchitectural parameters (thickness, separation, number, and bone volume fraction) are interdependent and describe only two independent properties of the trabecular network. We first derive theoretical relationships between the parameters based on their geometric definitions. Then, we analyze these relationships with an aggregated in vivo dataset with 2987 images from 1434 participants and a synthetically generated dataset with 144 images using principal component analysis (PCA) and linear regression analysis. With PCA, when trabecular thickness, separation, number, and bone volume fraction are combined, we find that 92 % to 97 % of the total variance in the data is explained by the first two principal components. With linear regressions, we find high coefficients of determination (0.827-0.994) and fitted coefficients within expected ranges. These findings suggest that to maximize statistical power in future studies, only two of trabecular thickness, separation, number and bone volume fraction should be used for statistical testing.
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Affiliation(s)
- Nathan J Neeteson
- Department of Biomedical Engineering, University of Calgary, Calgary, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Annabel R Bugbird
- Department of Biomedical Engineering, University of Calgary, Calgary, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada
| | - Lauren A Burt
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada
| | - Steven K Boyd
- Department of Biomedical Engineering, University of Calgary, Calgary, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada.
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Kok J, Bevers MSAM, van Rietbergen B, Oei EHG, Booij R. Quantification of bone microarchitecture using photon-counting CT at different radiation doses: A comparison with µCT. Eur J Radiol 2024; 181:111717. [PMID: 39241304 DOI: 10.1016/j.ejrad.2024.111717] [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: 08/07/2024] [Revised: 08/26/2024] [Accepted: 09/01/2024] [Indexed: 09/09/2024]
Abstract
PURPOSE Accurate measurements of trabecular bone microarchitecture are required for a proper assessment of bone fragility. Photon-counting detector CT (PCD-CT) has different technical properties than conventional CT, resulting in higher resolution and thereby potentially enabling in-vivo measurement of trabecular microarchitecture. The purpose of this study was to quantify trabecular bone microarchitectural parameters with PCD-CT at varying radiation doses and compare this to µCT as gold standard. METHOD Both distal radii, distal tibiae, femoral heads, and two vertebrae were dissected from one human. All specimens were scanned ex-vivo on a PCD-CT system (slice increment 0.1 mm; pixel size 0.1042-0.127 mm) and a µCT system (isotropic voxel size 49-68.4 µm). The radiation doses of the PCD-CT scans were varied from 2.5 to 120 mGy based on the volume CT dose index (CTDIvol32). For the PCD-CT scans, contrast-to-noise ratio and trabecular sharpness were calculated and compared between radiation doses. µCT and PCD-CT scans were registered. The trabecular bone was then segmented from all PCD-CT and µCT scans and split into cubes with 6-mm edge length. For each cube, bone volume over total volume, trabecular thickness, trabecular number, and trabecular heterogeneity were calculated and compared between corresponding PCD-CT and µCT cubes. RESULTS With increasing dose, contrast-to-noise ratio and trabecular sharpness values increased for the PCD-CT images. Already at the lowest dose, high correlations between the trabecular microarchitectural parameters between µCT and PCD-CT were found (R2 = 0.55-0.95), which improved with increasing radiation dose (R2 = 0.76-0.96 at 20 mGy). CONCLUSIONS PCD-CT can be used to quantify trabecular bone microarchitecture, with accuracy comparable to µCT and at clinically relevant radiation doses.
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Affiliation(s)
- Joeri Kok
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Orthopaedic Surgery, Maastricht University, Maastricht, The Netherlands.
| | - Melissa S A M Bevers
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands; NUTRIM Institute of Nutrition and Translational Research In Metabolism, Maastricht University, Maastricht, The Netherlands.
| | - Bert van Rietbergen
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Department of Orthopaedic Surgery, Maastricht University, Maastricht, The Netherlands.
| | - Edwin H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Ronald Booij
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands; Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
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Cheng KYK, Chow SKH, Hung VWY, Tsang ZTL, Yip BHK, Wong RMY, Zhang N, Qin L, Law SW, Cheung WH. Identification of Osteosarcopenia by High-Resolution Peripheral Quantitative Computed Tomography. J Pers Med 2024; 14:935. [PMID: 39338189 PMCID: PMC11433288 DOI: 10.3390/jpm14090935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 08/21/2024] [Accepted: 08/28/2024] [Indexed: 09/30/2024] Open
Abstract
Osteosarcopenia is a prevalent geriatric disease with a significantly increased risk of adverse outcomes than osteoporosis or sarcopenia alone. Identification of older adults with osteosarcopenia using High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) could allow better clinical decision making. This study aimed to explore the feasibility of HR-pQCT to differentiate osteoporosis, sarcopenia, and osteosarcopenia in older adults, with a primary outcome to derive a model to distinguish older adults with osteosarcopenia from those with low bone mineral density only, and to examine important HR-pQCT parameters associated with osteosarcopenia. This was a cross-sectional study involving 628 community-dwelling Chinese adults aged ≥ 40. Subjects were assessed by dual energy X-ray absorptiometry (DXA) for osteopenia/osteoporosis and sarcopenia using the Asian Working Group for Sarcopenia definition; then grouped into healthy, osteopenia/osteoporosis, sarcopenia, and osteosarcopenia groups. A series of regression analyses and other statistical tests were performed to derive the model. HR-pQCT showed the ability to discriminate older adults with osteosarcopenia from those with osteopenia/osteoporosis only. Cross-validation of our derived model correctly classified 77.0% of the cases with good diagnostic power and showed a sensitivity of 76.0% and specificity of 77.6% (Youden index = 0.54; AUC = 0.79, p < 0.001). Analysis showed trabecular volumetric bone density and cortical periosteal perimeter were important and sensitive parameters in discriminating osteosarcopenia from osteopenia/osteoporosis subjects. These findings demonstrated that HR-pQCT is a viable and effective screening method for differentiating osteosarcopenia from low bone mineral density alone without the need to carry out multiple assessments for osteosarcopenia, especially for case-finding purposes. This could facilitate the decision of a follow-up and the management of these frail older adults to ensure they receive timely therapeutic interventions to minimise the associated risks.
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Affiliation(s)
- Keith Yu-Kin Cheng
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Simon Kwoon-Ho Chow
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Vivian Wing-Yin Hung
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Zoey Tsz-Lok Tsang
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Benjamin Hon-Kei Yip
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ronald Man Yeung Wong
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ning Zhang
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ling Qin
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Sheung-Wai Law
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Wing-Hoi Cheung
- Bone Quality and Health Centre, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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Mourad C, Gallego Manzano L, Viry A, Booij R, Oei EHG, Becce F, Omoumi P. Chances and challenges of photon-counting CT in musculoskeletal imaging. Skeletal Radiol 2024; 53:1889-1902. [PMID: 38441616 PMCID: PMC11303444 DOI: 10.1007/s00256-024-04622-6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/12/2024] [Accepted: 02/12/2024] [Indexed: 08/09/2024]
Abstract
In musculoskeletal imaging, CT is used in a wide range of indications, either alone or in a synergistic approach with MRI. While MRI is the preferred modality for the assessment of soft tissues and bone marrow, CT excels in the imaging of high-contrast structures, such as mineralized tissue. Additionally, the introduction of dual-energy CT in clinical practice two decades ago opened the door for spectral imaging applications. Recently, the advent of photon-counting detectors (PCDs) has further advanced the potential of CT, at least in theory. Compared to conventional energy-integrating detectors (EIDs), PCDs provide superior spatial resolution, reduced noise, and intrinsic spectral imaging capabilities. This review briefly describes the technical advantages of PCDs. For each technical feature, the corresponding applications in musculoskeletal imaging will be discussed, including high-spatial resolution imaging for the assessment of bone and crystal deposits, low-dose applications such as whole-body CT, as well as spectral imaging applications including the characterization of crystal deposits and imaging of metal hardware. Finally, we will highlight the potential of PCD-CT in emerging applications, underscoring the need for further preclinical and clinical validation to unleash its full clinical potential.
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Affiliation(s)
- Charbel Mourad
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Diagnostic Imaging and Interventional Therapeutics, Hôpital Libanais Geitaoui-CHU, Beyrouth, Lebanon
| | - Lucia Gallego Manzano
- Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Anaïs Viry
- Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Ronald Booij
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Edwin H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Fabio Becce
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Patrick Omoumi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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Carrino JA, Ibad H, Lin Y, Ghotbi E, Klein J, Demehri S, Del Grande F, Bogner E, Boesen MP, Siewerdsen JH. CT in musculoskeletal imaging: still helpful and for what? Skeletal Radiol 2024; 53:1711-1725. [PMID: 38969781 DOI: 10.1007/s00256-024-04737-w] [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: 03/25/2024] [Revised: 06/17/2024] [Accepted: 06/17/2024] [Indexed: 07/07/2024]
Abstract
Computed tomography (CT) is a common modality employed for musculoskeletal imaging. Conventional CT techniques are useful for the assessment of trauma in detection, characterization and surgical planning of complex fractures. CT arthrography can depict internal derangement lesions and impact medical decision making of orthopedic providers. In oncology, CT can have a role in the characterization of bone tumors and may elucidate soft tissue mineralization patterns. Several advances in CT technology have led to a variety of acquisition techniques with distinct clinical applications. These include four-dimensional CT, which allows examination of joints during motion; cone-beam CT, which allows examination during physiological weight-bearing conditions; dual-energy CT, which allows material decomposition useful in musculoskeletal deposition disorders (e.g., gout) and bone marrow edema detection; and photon-counting CT, which provides increased spatial resolution, decreased radiation, and material decomposition compared to standard multi-detector CT systems due to its ability to directly translate X-ray photon energies into electrical signals. Advanced acquisition techniques provide higher spatial resolution scans capable of enhanced bony microarchitecture and bone mineral density assessment. Together, these CT acquisition techniques will continue to play a substantial role in the practices of orthopedics, rheumatology, metabolic bone, oncology, and interventional radiology.
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Affiliation(s)
- John A Carrino
- Weill Cornell Medicine, New York, NY, USA.
- Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
| | - Hamza Ibad
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Yenpo Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Elena Ghotbi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Joshua Klein
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Shadpour Demehri
- Musculoskeletal Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N. Caroline Street, JHOC 5165, Baltimore, MD, 21287, USA
| | - Filippo Del Grande
- Clinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università Della Svizzera Italiana (USI), Via G. Buffi 13, 6904, Lugano, Switzerland
| | - Eric Bogner
- Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA
| | - Mikael P Boesen
- Department of Radiology, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Nielsine Nielsens Vej 5, Entrance 7A, 3Rd Floor, 2400, Copenhagen, NV, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeffrey H Siewerdsen
- Department of Imaging Physics, Institute for Data Science in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Boyd SK. High-Resolution Peripheral Quantitative Computed Tomography in Rheumatic Diseases: A New Option for Knee Osteoarthritis. Radiol Clin North Am 2024; 62:903-912. [PMID: 39059980 DOI: 10.1016/j.rcl.2024.02.010] [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] [Indexed: 07/28/2024]
Abstract
High-resolution peripheral quantitative computed tomography (HR-pQCT) provides a new opportunity for the noninvasive measurement of bone microarchitecture in patient research of rheumatic disease in joints of the extremities. Rheumatoid arthritis of the hand and osteoarthritis of the knee are highly prevalent and there are no cures, so an improved understanding of the etiology of these diseases, particularly when combining HR-pQCT with other imaging modalities, is important to develop new disease management strategies. Analysis of HR-pQCT data is challenging due to the large size of the datasets, but the field continues to rapidly develop, and there is excellent opportunity to integrate sophisticated analyses for this novel research tool.
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Affiliation(s)
- Steven K Boyd
- Department of Radiology, McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada.
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8
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Dutta A, Ferrero A, Rajendran K, Drake MT, Ou FS, Giri S, Fletcher JG, McCollough CH, Baffour FI. Quantitative metrics of bone quality determined at the distal radius using photon-counting CT. Skeletal Radiol 2024:10.1007/s00256-024-04770-9. [PMID: 39120685 DOI: 10.1007/s00256-024-04770-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024]
Abstract
OBJECTIVE To determine the accuracy of photon-counting-detector CT (PCD-CT) at deriving bone morphometric indices and demonstrate utility in vivo in the distal radius. METHODS Ten cadaver wrists were scanned using PCD-CT and high-resolution peripheral quantitative CT (HRpQCT). Correlation between PCD-CT and HRpQCT morphometric indices was determined. Agreement was assessed by Lin's concordance correlation coefficient (Lin's CCC). Wrist PCD-CTs of patients between 02/2022 and 08/2023 were also evaluated for clinical utility. Morphometric indices of the in vivo distal radii were extracted and compared between patients with or without osteoporosis. RESULTS In cadavers, strong correlation between PCD-CT and HRpQCT was observed for cortical thickness (Spearman correlation, ρ, 0.85), trabecular spacing (ρ = 0.98), and trabecular bone volume fraction (ρ = 0.68). Moderate negative correlation (ρ = - 0.49) was observed for trabecular thickness. PCD-CT shows good agreement to HRpQCT for cortical thickness, trabecular spacing, and trabecular bone volume fraction (Lin's CCC = 0.80, 0.94, and 0.86, respectively) but poor agreement (Lin's CCC = - 0.1) for trabecular thickness. In forty participants (31 adults and 9 pediatric), bone morphometrics indices for cortical thickness, trabecular thickness, trabecular spacing, and trabecular bone volume fraction were 0.99 mm (IQR, 0.89-1.06), 0.38 mm (IQR, 0.25-0.40), 0.82 mm (IQR, 0.72-1.05), and 0.28 (IQR, 0.25-0.33), respectively. Patients with osteoporosis had statistically significantly larger trabecular spacing (p = 0.025) and lower trabecular volumetric bone mineral density (p = 0.042). CONCLUSION This study demonstrates the agreement of PCD-CT to HRpQCT in cadavers of most cortical and bone morphometrics examined and provide in vivo quantitative metrics of bone microarchitecture from routine clinical PCD-CT images of the distal radius.
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Affiliation(s)
- Anika Dutta
- Department of Radiology, Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA
| | - Andrea Ferrero
- Department of Radiology, Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA
| | - Kishore Rajendran
- Department of Radiology, Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA
| | - Matthew T Drake
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Fang-Shu Ou
- Department of Quantitative Health Sciences, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Sharmila Giri
- Department of Quantitative Health Sciences, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Joel G Fletcher
- Department of Radiology, Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA
| | | | - Francis I Baffour
- Department of Radiology, Mayo Clinic, 200 1st SW, Rochester, MN, 55905, USA.
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Frazer LL, Louis N, Zbijewski W, Vaishnav J, Clark K, Nicolella DP. Super-resolution of clinical CT: Revealing microarchitecture in whole bone clinical CT image data. Bone 2024; 185:117115. [PMID: 38740120 PMCID: PMC11176006 DOI: 10.1016/j.bone.2024.117115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/16/2024]
Abstract
Osteoporotic fractures, prevalent in the elderly, pose a significant health and economic burden. Current methods for predicting fracture risk, primarily relying on bone mineral density, provide only modest accuracy. If better spatial resolution of trabecular bone in a clinical scan were available, a more complete assessment of fracture risk would be obtained using microarchitectural measures of bone (i.e. trabecular thickness, trabecular spacing, bone volume fraction, etc.). However, increased resolution comes at the cost of increased radiation or can only be applied at small volumes of distal skeletal locations. This study explores super-resolution (SR) technology to enhance clinical CT scans of proximal femurs and better reveal the trabecular microarchitecture of bone. Using a deep-learning-based (i.e. subset of artificial intelligence) SR approach, low-resolution clinical CT images were upscaled to higher resolution and compared to corresponding MicroCT-derived images. SR-derived 2-dimensional microarchitectural measurements, such as degree of anisotropy, bone volume fraction, trabecular spacing, and trabecular thickness were within 16 % error compared to MicroCT data, whereas connectivity density exhibited larger error (as high as 1094 %). SR-derived 3-dimensional microarchitectural metrics exhibited errors <18 %. This work showcases the potential of SR technology to enhance clinical bone imaging and holds promise for improving fracture risk assessments and osteoporosis detection. Further research, including larger datasets and refined techniques, can advance SR's clinical utility, enabling comprehensive microstructural assessment across whole bones, thereby improving fracture risk predictions and patient-specific treatment strategies.
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Affiliation(s)
| | - Nathan Louis
- Southwest Research Institute, USA; University of Michigan, USA
| | | | | | - Kal Clark
- University of Texas Health Science Center at San Antonio, USA
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Quintiens J, van Lenthe GH. Photon-Counting Computed Tomography for Microstructural Imaging of Bone and Joints. Curr Osteoporos Rep 2024; 22:387-395. [PMID: 38833188 DOI: 10.1007/s11914-024-00876-0] [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] [Accepted: 05/29/2024] [Indexed: 06/06/2024]
Abstract
PURPOSE OF REVIEW Recently, photon-counting computed tomography (PCCT) has been introduced in clinical research and diagnostics. This review describes the technological advances and provides an overview of recent applications with a focus on imaging of bone. RECENT FINDINGS PCCT is a full-body scanner with short scanning times that provides better spatial and spectral resolution than conventional energy-integrating-detector CT (EID-CT), along with an up to 50% reduced radiation dose. It can be used to quantify bone mineral density, to perform bone microstructural analyses and to assess cartilage quality with adequate precision and accuracy. Using a virtual monoenergetic image reconstruction, metal artefacts can be greatly reduced when imaging bone-implant interfaces. Current PCCT systems do not allow spectral imaging in ultra-high-resolution (UHR) mode. Given its improved resolution, reduced noise and spectral imaging capabilities PCCT has diagnostic capacities in both qualitative and quantitative imaging that outperform those of conventional CT. Clinical use in monitoring bone health has already been demonstrated. The full potential of PCCT systems will be unlocked when UHR spectral imaging becomes available.
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Affiliation(s)
- Jilmen Quintiens
- Department of Mechanical Engineering, KU Leuven, Leuven, Belgium
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11
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Cosedis Enevoldsen F, Therkildsen J, Klose-Jensen R, Lynggaard Elkjær A, Uggerby Næser E, Klicman RF, Thorup Aaen K, Søndergaard KH, Hauge EM. High-resolution peripheral quantitative computed tomography for the assessment of acro-osteolysis and calcinosis in patients with systemic sclerosis. Joint Bone Spine 2024; 91:105699. [PMID: 38309517 DOI: 10.1016/j.jbspin.2024.105699] [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: 08/22/2023] [Revised: 12/23/2023] [Accepted: 01/10/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE To assist the development of future treatments in systemic sclerosis (SSc), the development of reliable outcome measures is pivotal. We aimed to evaluate the use of high-resolution peripheral quantitative CT (HR-pQCT) for visualization and gradation of acro-osteolysis (AO) and calcinosis compared to conventional hand radiographs (CR) in patients with SSc. METHODS HR-pQCT scans of the 2nd to 4th fingers, CR, nail fold capillaroscopy, and a clinical examination were conducted. Images were reviewed for the presence and degree of AO and calcinosis according to semiquantitative grading scales. RESULTS Forty patients were included. Fourteen had AO according to CR, whereas HR-pQCT revealed AO in 18 patients. The sensitivity and specificity of classifying patients as having AO by HR-pQCT when CR was used as reference were 93% (95% CI: 66-99%) and 80% (95% CI: 59-93%), respectively. By CR and with HR-pQCT as reference, the sensitivity and specificity were 72% (95% CI: 47-90%) and 95% (95% CI: 76-99%). Patients with AO had more or larger calcifications than patients without AO according to the proposed HR-pQCT grading system, with a median grade of 2 (IQR: 1-3) versus 0 (IQR: 0-1) (P<0.01). Grade 3 changes were observed exclusively in patients with AO (n=6/14, 42.9%). Assessment of AO and calcinosis by HR-pQCT demonstrated moderate to excellent test-retest reliability. CONCLUSION HR-pQCT allowed precise and reliable classification and grading of acro-osteolysis and acral calcinosis. The modality could prove helpful for detecting and monitoring these lesions as well as facilitating early diagnosis and guide treatment of these patients.
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Affiliation(s)
- Frederik Cosedis Enevoldsen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark.
| | - Josephine Therkildsen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Rasmus Klose-Jensen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Amanda Lynggaard Elkjær
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Esben Uggerby Næser
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Rikke Fuglsang Klicman
- Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Katja Thorup Aaen
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Klaus Henrik Søndergaard
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Central Denmark Region, Denmark
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12
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Ravazzano L, Colaianni G, Tarakanova A, Xiao YB, Grano M, Libonati F. Multiscale and multidisciplinary analysis of aging processes in bone. NPJ AGING 2024; 10:28. [PMID: 38879533 PMCID: PMC11180112 DOI: 10.1038/s41514-024-00156-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 05/07/2024] [Indexed: 06/19/2024]
Abstract
The world population is increasingly aging, deeply affecting our society by challenging our healthcare systems and presenting an economic burden, thus turning the spotlight on aging-related diseases: exempli gratia, osteoporosis, a silent disease until you suddenly break a bone. The increase in bone fracture risk with age is generally associated with a loss of bone mass and an alteration in the skeletal architecture. However, such changes cannot fully explain increased fragility with age. To successfully tackle age-related bone diseases, it is paramount to comprehensively understand the fundamental mechanisms responsible for tissue degeneration. Aging mechanisms persist at multiple length scales within the complex hierarchical bone structure, raising the need for a multiscale and multidisciplinary approach to resolve them. This paper aims to provide an overarching analysis of aging processes in bone and to review the most prominent outcomes of bone aging. A systematic description of different length scales, highlighting the corresponding techniques adopted at each scale and motivating the need for combining diverse techniques, is provided to get a comprehensive description of the multi-physics phenomena involved.
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Affiliation(s)
- Linda Ravazzano
- Center for Nano Science and Technology@PoliMi, Istituto Italiano di Tecnologia, Via Rubattino 81, Milano, 20134, Italy
| | - Graziana Colaianni
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy
| | - Anna Tarakanova
- School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, 191 Auditorium Road, Unit 3139, Storrs, 06269, CT, USA
- Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Unit 3247, CT, 06269, Storrs, USA
| | - Yu-Bai Xiao
- School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, 191 Auditorium Road, Unit 3139, Storrs, 06269, CT, USA
| | - Maria Grano
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy
| | - Flavia Libonati
- Center for Nano Science and Technology@PoliMi, Istituto Italiano di Tecnologia, Via Rubattino 81, Milano, 20134, Italy.
- Department of Mechanical, Energy, Management and Transport Engineering - DIME, University of Genova, Via all'Opera Pia 15, Genova, 16145, Italy.
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13
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Schene MR, Bevers MSAM, van der Vijgh WJF, Driessen JHM, Vranken L, van der Velde RY, Willems HC, Wyers CE, van den Bergh JP. PPI use is not associated with bone microarchitecture and strength assessed with HR-pQCT after three-years follow-up in patients visiting the Fracture Liaison Service. Bone 2024; 182:117066. [PMID: 38438097 DOI: 10.1016/j.bone.2024.117066] [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: 10/30/2023] [Revised: 01/30/2024] [Accepted: 02/29/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND The use of proton pump inhibitors (PPIs) has been associated with an increased fracture risk in observational studies. However, the reported association between PPI use and bone mineral density (BMD), bone microarchitecture, and bone strength is inconsistent. This study aims to assess the association between PPI use and bone microarchitecture and strength using high-resolution peripheral quantitative CT (HR-pQCT) in a three-year follow-up study in patients with a recent fracture visiting the Fracture Liaison Service (FLS). METHODS This three-year prospective cohort study included FLS patients aged ≥ 50 years with a recent fracture (median age 62 [IQR 56-69] years, 68.7 % females) and without anti-osteoporosis treatment indication. HR-pQCT scans (distal radius and tibia) were obtained at baseline (T0) and three-year follow-up (T3). Volumetric bone mineral density and bone area, microarchitecture, and strength (micro-finite element analysis) were determined. The association between three-year continuous PPI use and the percentage change in HR-pQCT parameters between T0 and T3 was assessed using sex-stratified multivariate linear regression analyses. Covariates included age, BMI, vitamin-D deficiency (< 50 nmol/l), glucocorticoid use, and cardiovascular co-morbidity (males and females) fracture type (major/hip vs. all others, only males) and probable sarcopenia (only females). RESULTS In total, 282 participants had available medication data throughout follow-up, of whom 20.6 % were continuous PPI users. In both males and females with complete HR-pQCT follow-up data (males: N = 69 radius, N = 84 tibia; females: N = 147 radius, N = 168 tibia), PPI use was not associated with the percentage change of any of the bone microarchitecture or strength parameters between T0 and T3 at the radius and tibia as compared to non-use. CONCLUSION Compared to non-use, PPI use was not associated with the change of bone microarchitecture and strength in FLS patients at three years of follow-up. These results do not support that an altered bone microarchitecture or strength may contribute to the increased fracture risk associated with PPI use, as reported in observational studies.
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Affiliation(s)
- M R Schene
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Amsterdam UMC location University of Amsterdam, Internal Medicine and Geriatrics, Meibergdreef 9, Amsterdam, Netherlands
| | - M S A M Bevers
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - W J F van der Vijgh
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands
| | - J H M Driessen
- Department of clinical pharmacy, CARIM School of Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands; Department of Clinical Pharmacy and Toxicology, Maastricht University Medical Center +, P.O. Box 616, 6200 MD Maastricht, the Netherlands
| | - L Vranken
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - R Y van der Velde
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands
| | - H C Willems
- Amsterdam UMC location University of Amsterdam, Internal Medicine and Geriatrics, Meibergdreef 9, Amsterdam, Netherlands; Amsterdam Bone Center, Movement Sciences Amsterdam, the Netherlands
| | - C E Wyers
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University Medical Center +, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
| | - J P van den Bergh
- Department of Internal Medicine, VieCuri Medical Center, P.O. Box 1926, 5900 BX Venlo, the Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Department of Internal Medicine, Maastricht University Medical Center +, P.O. Box 616, 6200 MD Maastricht, the Netherlands
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14
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Gama EMF, Mendonça LMC, Paranhos-Neto FP, Vieira Neto L, Madeira M, Farias MLF. TBS correlates with bone density and microstructure at trabecular and cortical bone evaluated by HR-pQCT. J Bone Miner Metab 2024; 42:352-360. [PMID: 38664255 DOI: 10.1007/s00774-024-01508-4] [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] [Accepted: 03/18/2024] [Indexed: 06/04/2024]
Abstract
INTRODUCTION Trabecular bone score (TBS) estimates bone microstructure, which is directly measured by high-resolution peripheral quantitative computed tomography (HRpQCT). We evaluated the correlation between these methods and TBS influence on fracture risk assessed by FRAX. MATERIALS AND METHODS We evaluated 129 individuals (82 women, 43 postmenopausal) 20 to 82.3 years without prevalent clinical or non-clinical morphometric vertebral fractures, using DXA (spine and hip), HR-pQCT at distal radius (R) and tibia (T) and TBS which classifies bone microarchitecture as normal (TBS ≥ 1.350), partially degraded (1.200 < TBS < 1.350), or degraded (TBS ≤ 1.200). RESULTS Spine and hip BMD and HR-pQCT parameters at cortical bone: area (T), density (R,T) thickness (T) and trabecular bone: density (R,T), number (T) and thickness (R) were significantly better in the 78 individuals with normal TBS (group 1) versus the 51 classified as partially degraded (n = 42) or degraded microarchitecture (n = 9) altogether (group 2). TBS values correlated with age (r = - 0.55), positively with spine and hip BMD and all cortical and trabecular bone density and microstructure parameters evaluated, p < 0.05 all tests. Binary logistic regression defined age (p = 0.008) and cortical thickness (p = 0.018) as main influences on TBS, while ANCOVA demonstrated that HR-pQCT data corrected for age were not different between TBS groups 1 and 2. TBS adjustment increased FRAX risk for major osteoporotic fractures and hip fractures. CONCLUSION We describe significant association between TBS and both trabecular and cortical bone parameters measured by HR-pQCT, consistent with TBS influence on fracture risk estimation by FRAX, including hip fractures, where cortical bone predominates.
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Affiliation(s)
- E M F Gama
- Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil.
| | - L M C Mendonça
- Division of Rheumatology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil
| | - F P Paranhos-Neto
- Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil
| | - L Vieira Neto
- Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil
| | - M Madeira
- Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil
| | - M L F Farias
- Division of Endocrinology of Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro (HUCFF-UFRJ), Avenida Professor Rodolpho Paulo Rocco 255, 21941-913, Rio de Janeiro, RJ, Brasil
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15
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Warden SJ, Fuchs RK, Liu Z, Toloday KR, Surowiec R, Moe SM. Am I big boned? Bone length scaled reference data for HRpQCT measures of the radial and tibial diaphysis in White adults. Bone Rep 2024; 20:101735. [PMID: 38292934 PMCID: PMC10824696 DOI: 10.1016/j.bonr.2024.101735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024] Open
Abstract
Cross-sectional size of a long bone shaft influences its mechanical properties. We recently used high-resolution peripheral quantitative computed tomography (HRpQCT) to create reference data for size measures of the radial and tibial diaphyses. However, data did not take into account the impact of bone length. Human bone exhibits relatively isometric allometry whereby cross-sectional area increases proportionally with bone length. The consequence is that taller than average individuals will generally have larger z-scores for bone size outcomes when length is not considered. The goal of the current work was to develop a means of determining whether an individual's cross-sectional bone size is suitable for their bone length. HRpQCT scans performed at 30 % of bone length proximal from the distal end of the radius and tibia were acquired from 1034 White females (age = 18.0 to 85.3 y) and 392 White males (age = 18.4 to 83.6 y). Positive relationships were confirmed between bone length and cross-sectional areas and estimated mechanical properties. Scaling factors were calculated and used to scale HRpQCT outcomes to bone length. Centile curves were generated for both raw and bone length scaled HRpQCT data using the LMS approach. Excel-based calculators are provided to facilitate calculation of z-scores for both raw and bone length scaled HRpQCT outcomes. The raw z-scores indicate the magnitude that an individual's HRpQCT outcomes differ relative to expected sex- and age-specific values, with the scaled z-scores also considering bone length. The latter enables it to be determined whether an individual or population of interest has normal sized bones for their length, which may have implications for injury risk. In addition to providing a means of expressing HRpQCT bone size outcomes relative to bone length, the current study also provides centile curves for outcomes previously without reference data, including tissue mineral density and moments of inertia.
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Affiliation(s)
- Stuart J Warden
- Department of Physical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, IN, United States of America
- Indiana Center for Musculoskeletal Health, Indiana University, IN, United States of America
| | - Robyn K Fuchs
- Indiana Center for Musculoskeletal Health, Indiana University, IN, United States of America
- College of Osteopathic Medicine, Marian University, Indianapolis, IN, United States of America
| | - Ziyue Liu
- Indiana Center for Musculoskeletal Health, Indiana University, IN, United States of America
- Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN, United States of America
| | - Katelynn R Toloday
- Department of Physical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, IN, United States of America
| | - Rachel Surowiec
- Department of Biomedical Engineering, Purdue University, Indianapolis, IN, United States of America
| | - Sharon M Moe
- Indiana Center for Musculoskeletal Health, Indiana University, IN, United States of America
- Division of Nephrology and Hypertension, Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States of America
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16
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Gruenewald LD, Booz C, Gotta J, Reschke P, Martin SS, Mahmoudi S, Bernatz S, Eichler K, D'Angelo T, Chernyak V, Sommer CM, Vogl TJ, Koch V. Incident fractures of the distal radius: Dual-energy CT-derived metrics for opportunistic risk stratification. Eur J Radiol 2024; 171:111283. [PMID: 38183896 DOI: 10.1016/j.ejrad.2023.111283] [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: 10/20/2023] [Revised: 12/13/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Dual-energy CT (DECT)-derived bone mineral density (BMD) of the distal radius and other CT-derived metrics related to bone health have been suggested for opportunistic osteoporosis screening and risk evaluation for sustaining distal radius fractures (DRFs). METHODS The distal radius of patients who underwent DECT between 01/2016 and 08/2021 was retrospectively analyzed. Cortical Hounsfield Unit (HU), trabecular HU, cortical thickness, and DECT-based BMD were acquired from a non-fractured, metaphyseal area in all examinations. Receiver-operating characteristic (ROC) analysis was conducted to determine the area under the curve (AUC) values for predicting DRFs based on DECT-derived BMD, HU values, and cortical thickness. Logistic regression models were then employed to assess the associations of these parameters with the occurrence of DRFs. RESULTS In this study, 263 patients (median age: 52 years; interquartile range: 36-64; 132 women; 192 fractures) were included. ROC curve analysis revealed a higher area under the curve (AUC) value for DECT-derived BMD compared to cortical HU, trabecular HU, and cortical thickness (0.91 vs. 0.61, 0.64, and 0.69, respectively; p <.001). Logistic regression models confirmed the association between lower DECT-derived BMD and the occurrence of DRFs (Odds Ratio, 0.83; p <.001); however, no influence was observed for cortical HU, trabecular HU, or cortical thickness. CONCLUSIONS DECT can be used to assess the BMD of the distal radius without dedicated equipment such as calibration phantoms to increase the detection rates of osteoporosis and stratify the individual risk to sustain DRFs. In contrast, assessing HU-based values and cortical thickness does not provide clinical benefit.
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Affiliation(s)
- Leon D Gruenewald
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Christian Booz
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Jennifer Gotta
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Philipp Reschke
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon S Martin
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Scherwin Mahmoudi
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Simon Bernatz
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Katrin Eichler
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Tommaso D'Angelo
- Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy
| | - Victoria Chernyak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Christof M Sommer
- Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Thomas J Vogl
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
| | - Vitali Koch
- Goethe University Frankfurt, University Hospital, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany
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Verlinden L, Li S, Veldurthy V, Carmeliet G, Christakos S. Relationship of the bone phenotype of the Klotho mutant mouse model of accelerated aging to changes in skeletal architecture that occur with chronological aging. Front Endocrinol (Lausanne) 2024; 15:1310466. [PMID: 38352710 PMCID: PMC10861770 DOI: 10.3389/fendo.2024.1310466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/09/2024] [Indexed: 02/16/2024] Open
Abstract
Introduction Due to the relatively long life span of rodent models, in order to expediate the identification of novel therapeutics of age related diseases, mouse models of accelerated aging have been developed. In this study we examined skeletal changes in the male and female Klotho mutant (kl/kl) mice and in male and female chronically aged mice to determine whether the accelerated aging bone phenotype of the kl/kl mouse reflects changes in skeletal architecture that occur with chronological aging. Methods 2, 6 and 20-23 month old C57BL/6 mice were obtained from the National Institute of Aging aged rodent colony and wildtype and kl/kl mice were generated as previously described by M. Kuro-o. Microcomputed tomography analysis was performed ex vivo to examine trabecular and cortical parameters from the proximal metaphyseal and mid-diaphyseal areas, respectively. Serum calcium and phosphate were analyzed using a colorimetric assay. The expression of duodenal Trpv6, which codes for TRPV6, a vitamin D regulated epithelial calcium channel whose expression reflects intestinal calcium absorptive efficiency, was analyzed by quantitative real-time PCR. Results and discussion Trabecular bone volume (BV/TV) and trabecular number decreased continuously with age in males and females. In contrast to aging mice, an increase in trabecular bone volume and trabecular number was observed in both male and female kl/kl mice. Cortical thickness decreased with advancing age and also decreased in male and female kl/kl mice. Serum calcium and phosphate levels were significantly increased in kl/kl mice but did not change with age. Aging resulted in a decline in Trpv6 expression. In the kl/kl mice duodenal Trpv6 was significantly increased. Our findings reflect differences in bone architecture as well as differences in calcium and phosphate homeostasis and expression of Trpv6 between the kl/kl mutant mouse model of accelerated aging and chronological aging. Although the Klotho deficient mouse has provided a new understanding of the regulation of mineral homeostasis and bone metabolism, our findings suggest that changes in bone architecture in the kl/kl mouse reflect in part systemic disturbances that differ from pathophysiological changes that occur with age including dysregulation of calcium homeostasis that contributes to age related bone loss.
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Affiliation(s)
- Lieve Verlinden
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Shanshan Li
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers, the State University of New Jersey, Newark, NJ, United States
| | - Vaishali Veldurthy
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers, the State University of New Jersey, Newark, NJ, United States
| | - Geert Carmeliet
- Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Sylvia Christakos
- Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers, the State University of New Jersey, Newark, NJ, United States
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18
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Whittier DE, Bevers MSAM, Geusens PPMM, van den Bergh JP, Gabel L. Characterizing Bone Phenotypes Related to Skeletal Fragility Using Advanced Medical Imaging. Curr Osteoporos Rep 2023; 21:685-697. [PMID: 37884821 PMCID: PMC10724303 DOI: 10.1007/s11914-023-00830-6] [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] [Accepted: 10/11/2023] [Indexed: 10/28/2023]
Abstract
PURPOSE OF REVIEW Summarize the recent literature that investigates how advanced medical imaging has contributed to our understanding of skeletal phenotypes and fracture risk across the lifespan. RECENT FINDINGS Characterization of bone phenotypes on the macro-scale using advanced imaging has shown that while wide bones are generally stronger than narrow bones, they may be more susceptible to age-related declines in bone strength. On the micro-scale, HR-pQCT has been used to identify bone microarchitecture phenotypes that improve stratification of fracture risk based on phenotype-specific risk factors. Adolescence is a key phase for bone development, with distinct sex-specific growth patterns and significant within-sex bone property variability. However, longitudinal studies are needed to evaluate how early skeletal growth impacts adult bone phenotypes and fracture risk. Metabolic and rare bone diseases amplify fracture risk, but the interplay between bone phenotypes and disease remains unclear. Although bone phenotyping is a promising approach to improve fracture risk assessment, the clinical availability of advanced imaging is still limited. Consequently, alternative strategies for assessing and managing fracture risk include vertebral fracture assessment from clinically available medical imaging modalities/techniques or from fracture risk assessment tools based on clinical risk factors. Bone fragility is not solely determined by its density but by a combination of bone geometry, distribution of bone mass, microarchitecture, and the intrinsic material properties of bone tissue. As such, different individuals can exhibit distinct bone phenotypes, which may predispose them to be more vulnerable or resilient to certain perturbations that influence bone strength.
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Affiliation(s)
- Danielle E Whittier
- McCaig Institute for Bone and Joint Health and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada.
- Department of Cell Biology and Anatomy, University of Calgary, Calgary, Canada.
| | - 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
| | - Piet P M M Geusens
- Subdivision of Rheumatology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - 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
- Subdivision of Rheumatology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Leigh Gabel
- McCaig Institute for Bone and Joint Health and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
- Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada
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19
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Benedikt S, Rieser L, Schmidle G, Stock K, Horling L, Degenhart G, Arora R. Influence of demographic factors on the occurrence of motion artefacts in HR-pQCT. Arch Osteoporos 2023; 18:142. [PMID: 38008822 PMCID: PMC10678797 DOI: 10.1007/s11657-023-01352-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 11/12/2023] [Indexed: 11/28/2023]
Abstract
The study shows a high incidence of motion artefacts in a central European population and a significant increase of those artefacts with higher age. These findings may impact on the design and conduct of future in vivo HR-pQCT studies or at least help to estimate the potential number of drop outs due to unusable image quality. PURPOSE Motion artefacts in high-resolution peripheral quantitative computed tomography (HR-pQCT) are challenging, as they introduce error into the resulting measurement data. The aim of this study was to assess the general occurrence of motion artefacts in healthy distal radius and to evaluate the influence of demographic factors. METHODS The retrospective study is based on 525 distal radius second-generation HR-pQCT scans of 95 patients. All stacks were evaluated by two experienced observers and graded according to the visual grading scale recommended by the manufacturer, ranging from grade 1 (no visible motion artefacts) to grade 5 (severe motion artefacts). Correlations between demographic factors and image quality were evaluated using a linear mixed effects model analysis. RESULTS The average visual grading was 2.7 (SD ± 0.7). Age and severity of motion artefacts significantly correlated (p = 0.026). Patients aged 65 years or above had an average image quality between grades 1 and 3 in 72.7% of cases, while patients younger than 65 had an average image quality between grades 1 and 3 in 91.9% of cases. Gender, smoking behaviour, and handedness had no significant influence on motion artefacts. CONCLUSION This study showed a high incidence of motion artefacts in a representative central European population, but also a significant increase of motion artefacts with higher age. This could impact further study designs by planning for a sufficiently large and if possible a more selective study population to gain a representative amount of high-quality image data.
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Affiliation(s)
- Stefan Benedikt
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Lukas Rieser
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
- Department of Orthopaedics and Traumatology, Bezirkskrankenhaus Schwaz, Swarovskistraße 1/3, 6130, Schwaz, Austria.
| | - Gernot Schmidle
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Kerstin Stock
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Lukas Horling
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Gerald Degenhart
- Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Rohit Arora
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
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20
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Whittier DE, Walle M, Schenk D, Atkins PR, Collins CJ, Zysset P, Lippuner K, Müller R. A multi-stack registration technique to improve measurement accuracy and precision across longitudinal HR-pQCT scans. Bone 2023; 176:116893. [PMID: 37666441 DOI: 10.1016/j.bone.2023.116893] [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: 05/15/2023] [Revised: 08/14/2023] [Accepted: 09/01/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Recent applications of high-resolution peripheral quantitative computed tomography (HR-pQCT) have demonstrated that changes in local bone remodelling can be quantified in vivo using longitudinal three-dimensional image registration. However, certain emerging applications, such as fracture healing and joint analysis, require larger multi-stack scan regions that can result in stack shift image artifacts. These artifacts can be detrimental to the accurate alignment of the bone structure across multiple timepoints. The purpose of this study was to establish a multi-stack registration protocol for evaluating longitudinal HR-pQCT images and to assess the accuracy and precision error in comparison with measures obtained using previously established three-dimensional longitudinal registration. METHODS Three same day multi-stack HR-pQCT scans of the radius (2 stacks in length) and tibia (3 stacks in length) were obtained from 39 healthy individuals who participated in a previous reproducibility study. A fully automated multi-stack registration algorithm was developed to re-align stacks within a scan by leveraging slight offsets between longitudinal scans. Stack shift severity before and after registration was quantified using a newly proposed stack-shift severity score. The false discovery rate for bone remodelling events and precision error of bone morphology and micro-finite element analysis parameters were compared between longitudinally registered scans with and without the addition of multi-stack registration. RESULTS Most scans (82 %) improved in stack alignment or maintained the lowest stack shift severity score when multi-stack registration was implemented. The false discovery rate of bone remodelling events significantly decreased after multi-stack registration, resulting in median false detection of bone formation and resorption fractions between 3.2 to 7.5 % at the radius and 3.4 to 5.3 % at the tibia. Further, precision error was significantly reduced or remained unchanged in all standard bone morphology and micro-finite element analysis parameters, except for total and trabecular cross-sectional areas. CONCLUSION Multi-stack registration is an effective strategy for accurately aligning multi-stack HR-pQCT scans without modification of the image acquisition protocol. The algorithm presented here is a viable approach for performing accurate morphological analysis on multi-stack HR-pQCT scans, particularly for advanced application investigating local bone remodelling in vivo.
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Affiliation(s)
- Danielle E Whittier
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Matthias Walle
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland
| | - Denis Schenk
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Penny R Atkins
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, United States
| | - Caitlyn J Collins
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, United States
| | - Philippe Zysset
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Kurt Lippuner
- Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Ralph Müller
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
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21
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Douek PC, Boccalini S, Oei EHG, Cormode DP, Pourmorteza A, Boussel L, Si-Mohamed SA, Budde RPJ. Clinical Applications of Photon-counting CT: A Review of Pioneer Studies and a Glimpse into the Future. Radiology 2023; 309:e222432. [PMID: 37787672 PMCID: PMC10623209 DOI: 10.1148/radiol.222432] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 10/04/2023]
Abstract
CT systems equipped with photon-counting detectors (PCDs), referred to as photon-counting CT (PCCT), are beginning to change imaging in several subspecialties, such as cardiac, vascular, thoracic, and musculoskeletal radiology. Evidence has been building in the literature underpinning the many advantages of PCCT for different clinical applications. These benefits derive from the distinct features of PCDs, which are made of semiconductor materials capable of converting photons directly into electric signal. PCCT advancements include, among the most important, improved spatial resolution, noise reduction, and spectral properties. PCCT spatial resolution on the order of 0.25 mm allows for the improved visualization of small structures (eg, small vessels, arterial walls, distal bronchi, and bone trabeculations) and their pathologies, as well as the identification of previously undetectable anomalies. In addition, blooming artifacts from calcifications, stents, and other dense structures are reduced. The benefits of the spectral capabilities of PCCT are broad and include reducing radiation and contrast material dose for patients. In addition, multiple types of information can be extracted from a single data set (ie, multiparametric imaging), including quantitative data often regarded as surrogates of functional information (eg, lung perfusion). PCCT also allows for a novel type of CT imaging, K-edge imaging. This technique, combined with new contrast materials specifically designed for this modality, opens the door to new applications for imaging in the future.
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Affiliation(s)
| | | | - Edwin H. G. Oei
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
| | - David P. Cormode
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
| | - Amir Pourmorteza
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
| | - Loic Boussel
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
| | - Salim A. Si-Mohamed
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
| | - Ricardo P. J. Budde
- From the University of Lyon, INSA-Lyon, Claude Bernard Lyon 1
University, UJM-Saint Etienne, CNRS, Inserm, Villeurbanne, France (P.C.D., L.B.,
S.A.S.M.); Department of Cardiovascular and Thoracic Radiology, Louis Pradel
Hospital, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500 Bron, France
(P.C.D., S.B., L.B., S.A.S.M.); Claude Bernard Lyon 1 University, Villeurbanne,
France (S.B.); Department of Radiology and Nuclear Medicine, Erasmus Medical
Center, Rotterdam, the Netherlands (E.H.G.O., R.P.J.B.); Department of
Radiology, University of Pennsylvania, Philadelphia, Pa (D.P.C.); Department of
Radiology and Imaging Sciences, Emory University, Atlanta, Ga (A.P.); Department
of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga (A.P.);
and Winship Cancer Institute, Atlanta, Ga (A.P.)
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22
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Gazzotti S, Aparisi Gómez MP, Schileo E, Taddei F, Sangiorgi L, Fusaro M, Miceli M, Guglielmi G, Bazzocchi A. High-resolution peripheral quantitative computed tomography: research or clinical practice? Br J Radiol 2023; 96:20221016. [PMID: 37195008 PMCID: PMC10546468 DOI: 10.1259/bjr.20221016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 04/08/2023] [Accepted: 04/11/2023] [Indexed: 05/18/2023] Open
Abstract
High-resolution peripheral quantitative CT (HR-pQCT) is a low-dose three-dimensional imaging technique, originally developed for in vivo assessment of bone microarchitecture at the distal radius and tibia in osteoporosis. HR-pQCT has the ability to discriminate trabecular and cortical bone compartments, providing densitometric and structural parameters. At present, HR-pQCT is mostly used in research settings, despite evidence showing that it may be a valuable tool in osteoporosis and other diseases. This review summarizes the main applications of HR-pQCT and addresses the limitations that currently prevent its integration into routine clinical practice. In particular, the focus is on the use of HR-pQCT in primary and secondary osteoporosis, chronic kidney disease (CKD), endocrine disorders affecting bone, and rare diseases. A section on novel potential applications of HR-pQCT is also present, including assessment of rheumatic diseases, knee osteoarthritis, distal radius/scaphoid fractures, vascular calcifications, effect of medications, and skeletal muscle. The reviewed literature seems to suggest that a more widespread implementation of HR-pQCT in clinical practice would offer notable opportunities. For instance, HR-pQCT can improve the prediction of incident fractures beyond areal bone mineral density provided by dual-energy X-ray absorptiometry. In addition, HR-pQCT may be used for the monitoring of anti-osteoporotic therapy or for the assessment of mineral and bone disorder associated with CKD. Nevertheless, several obstacles currently prevent a broader use of HR-pQCT and would need to be targeted, such as the small number of installed machines worldwide, the uncertain cost-effectiveness, the need for improved reproducibility, and the limited availability of reference normative data sets.
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Affiliation(s)
- Silvia Gazzotti
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | | | - Enrico Schileo
- Bioengineering and Computing Laboratory, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Fulvia Taddei
- Bioengineering and Computing Laboratory, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Luca Sangiorgi
- Department of Medical Genetics and Rare Orthopaedic Diseases, and CLIBI Laboratory, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | | | - Marco Miceli
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | | | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
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23
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Bioletto F, Barale M, Parasiliti-Caprino M, Giannelli J, Campioni L, Cappiello V, Di Carlo MC, Ghigo E, Procopio M, Giordano R. Bone safety of dual-release hydrocortisone in patients with autoimmune primary adrenal insufficiency. Front Endocrinol (Lausanne) 2023; 14:1234237. [PMID: 37766685 PMCID: PMC10519793 DOI: 10.3389/fendo.2023.1234237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 08/24/2023] [Indexed: 09/29/2023] Open
Abstract
Background Conventional glucocorticoids (C-GC) replacement regimens have a detrimental effect on skeletal health in patients with adrenal insufficiency (AI), ultimately leading to an increased fracture risk. The novel dual-release hydrocortisone (DR-HC) formulations are characterized by a more favourable safety profile on various clinical endpoints. Data comparing the impact of C-GC and DR-HC on bone, however, are scarce. Methods Twenty-seven patients with autoimmune primary AI (PAI; 13 treated with C-GC and 14 treated with DR-HC) were evaluated to compare bone-related parameters between the two treatment groups. Results No significant differences between the two treatments groups were observed with respect to bone turnover markers. Patients treated with C-GC showed a lower bone mineral density (BMD) at lumbar spine (LS; 0.791 ± 0.195 vs. 0.942 ± 0.124 g/cm2, p=0.025) and at femoral neck (FN; 0.633 ± 0.114 vs. 0.716 ± 0.088 g/cm2, p=0.045). Moreover, they were characterized by a lower trabecular bone score (TBS; 1.236 ± 0.035 vs. 1.383 ± 0.030, p=0.004) and by a higher mean number of vertebral fractures per patient (0.75 vs. 0 fractures, p=0.002). TBS was the best predictor of fracture risk, with a pseudo-R2 of 0.593; moreover, at mediation analysis, it was able to fully explain the observed detrimental effect of C-GC, compared to DR-HC, on fracture risk. Conclusions These results suggest that DR-HC is associated with less bone-related complications compared to C-GC in patients with PAI. Moreover, TBS seems to play a pivotal role in the mediation of the relationship between glucocorticoid treatment regimens and fracture risk.
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Affiliation(s)
- Fabio Bioletto
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Marco Barale
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Mirko Parasiliti-Caprino
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Jacopo Giannelli
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Lorenzo Campioni
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Vincenzo Cappiello
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Maria Chiara Di Carlo
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Ezio Ghigo
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Massimo Procopio
- Division of Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Roberta Giordano
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
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24
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Lorentzon M, Burghardt AJ. The Added Value of High-Resolution Peripheral Quantitative Computed Tomography in Fracture Risk Prediction. J Bone Miner Res 2023; 38:1225-1226. [PMID: 37702108 DOI: 10.1002/jbmr.4909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/11/2023] [Accepted: 08/26/2023] [Indexed: 09/14/2023]
Affiliation(s)
- Mattias Lorentzon
- Region Västra Götaland, Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden
- Sahlgrenska Osteoporosis Centre, Geriatric Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Andrew J Burghardt
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
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25
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Whittier DE, Samelson EJ, Hannan MT, Burt LA, Hanley DA, Biver E, Szulc P, Sornay-Rendu E, Merle B, Chapurlat R, Lespessailles E, Wong AKO, Goltzman D, Khosla S, Ferrari S, Bouxsein ML, Kiel DP, Boyd SK. A Fracture Risk Assessment Tool for High Resolution Peripheral Quantitative Computed Tomography. J Bone Miner Res 2023; 38:1234-1244. [PMID: 37132542 PMCID: PMC10523935 DOI: 10.1002/jbmr.4808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 02/10/2023] [Accepted: 03/21/2023] [Indexed: 05/04/2023]
Abstract
Most fracture risk assessment tools use clinical risk factors combined with bone mineral density (BMD) to improve assessment of osteoporosis; however, stratifying fracture risk remains challenging. This study developed a fracture risk assessment tool that uses information about volumetric bone density and three-dimensional structure, obtained using high-resolution peripheral quantitative compute tomography (HR-pQCT), to provide an alternative approach for patient-specific assessment of fracture risk. Using an international prospective cohort of older adults (n = 6802) we developed a tool to predict osteoporotic fracture risk, called μFRAC. The model was constructed using random survival forests, and input predictors included HR-pQCT parameters summarizing BMD and microarchitecture alongside clinical risk factors (sex, age, height, weight, and prior adulthood fracture) and femoral neck areal BMD (FN aBMD). The performance of μFRAC was compared to the Fracture Risk Assessment Tool (FRAX) and a reference model built using FN aBMD and clinical covariates. μFRAC was predictive of osteoporotic fracture (c-index = 0.673, p < 0.001), modestly outperforming FRAX and FN aBMD models (c-index = 0.617 and 0.636, respectively). Removal of FN aBMD and all clinical risk factors, except age, from μFRAC did not significantly impact its performance when estimating 5-year and 10-year fracture risk. The performance of μFRAC improved when only major osteoporotic fractures were considered (c-index = 0.733, p < 0.001). We developed a personalized fracture risk assessment tool based on HR-pQCT that may provide an alternative approach to current clinical methods by leveraging direct measures of bone density and structure. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Danielle E Whittier
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Elizabeth J Samelson
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Marian T Hannan
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Lauren A Burt
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David A Hanley
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Emmanuel Biver
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Pawel Szulc
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | | | - Blandine Merle
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Roland Chapurlat
- INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France
| | - Eric Lespessailles
- Regional Hospital of Orleans, PRIMMO and EA 4708-I3MTO, University of Orleans, Orleans, France
| | - Andy Kin On Wong
- Joint Department of Medical Imaging, University Health Network, Dalla Lana School of Public Health, University of Toronto, Toronto, CA, USA
- Department of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, CA, USA
| | - David Goltzman
- Department of Medicine, McGill University and McGill University Health Centre, Montreal, QC, Canada
| | - Sundeep Khosla
- Kogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN, USA
| | - Serge Ferrari
- Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Mary L Bouxsein
- Center for Advanced Orthopedic Studies, BIDMC, Harvard Medical School, Boston, MA, USA
- Endocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Orthopedic Surgery, Harvard Medical School, Boston, MA, USA
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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26
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Ackerman KE, Rogers MA, Heikura IA, Burke LM, Stellingwerff T, Hackney AC, Verhagen E, Schley S, Saville GH, Mountjoy M, Holtzman B. Methodology for studying Relative Energy Deficiency in Sport (REDs): a narrative review by a subgroup of the International Olympic Committee (IOC) consensus on REDs. Br J Sports Med 2023; 57:1136-1147. [PMID: 37752010 DOI: 10.1136/bjsports-2023-107359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/18/2023] [Indexed: 09/28/2023]
Abstract
In the past decade, the study of relationships among nutrition, exercise and the effects on health and athletic performance, has substantially increased. The 2014 introduction of Relative Energy Deficiency in Sport (REDs) prompted sports scientists and clinicians to investigate these relationships in more populations and with more outcomes than had been previously pursued in mostly white, adolescent or young adult, female athletes. Much of the existing physiology and concepts, however, are either based on or extrapolated from limited studies, and the comparison of studies is hindered by the lack of standardised protocols. In this review, we have evaluated and outlined current best practice methodologies to study REDs in an attempt to guide future research.This includes an agreement on the definition of key terms, a summary of study designs with appropriate applications, descriptions of best practices for blood collection and assessment and a description of methods used to assess specific REDs sequelae, stratified as either Preferred, Used and Recommended or Potential Researchers can use the compiled information herein when planning studies to more consistently select the proper tools to investigate their domain of interest. Thus, the goal of this review is to standardise REDs research methods to strengthen future studies and improve REDs prevention, diagnosis and care.
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Affiliation(s)
- Kathryn E Ackerman
- Wu Tsai Female Athlete Program, Division of Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Margot Anne Rogers
- Australian Institute of Sport, Bruce, South Australia, Australia
- University of Canberra Research Institute for Sport and Exercise (UCRISE), Canberra, Australian Capital Territory, Australia
| | - Ida A Heikura
- Canadian Sport Institute-Pacific, Victoria, British Columbia, Canada
- Department of Exercise Science, Physical & Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Louise M Burke
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Trent Stellingwerff
- Canadian Sport Institute-Pacific, Victoria, British Columbia, Canada
- Department of Exercise Science, Physical & Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Anthony C Hackney
- Exercise and Sport Science, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Evert Verhagen
- Amsterdam Collaboration on Health and Safety in Sports and Department of Public and Occupational Health, VU University Medical Center, Amsterdam, The Netherlands
| | - Stacey Schley
- Wu Tsai Female Athlete Program, Division of Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Grace H Saville
- Wu Tsai Female Athlete Program, Division of Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Margo Mountjoy
- Family Medicine, McMaster University Michael G DeGroote School of Medicine, Waterloo, Ontario, Canada
- Games Group, International Olympic Committee, Lausanne, Switzerland
| | - Bryan Holtzman
- Wu Tsai Female Athlete Program, Division of Sports Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Mass General for Children, Boston, Massachusetts, USA
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27
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Newman CL, Surowiec RK, Swallow EA, Metzger CE, Kim J, Tomaschke AA, Chen NX, Allen MR, Wallace JM, Moe SM, Wu YC, Niziolek PJ. Assessing cortical bone porosity with MRI in an animal model of chronic kidney disease. Bone 2023; 173:116808. [PMID: 37207990 PMCID: PMC11167728 DOI: 10.1016/j.bone.2023.116808] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/07/2023] [Accepted: 05/15/2023] [Indexed: 05/21/2023]
Abstract
Chronic kidney disease (CKD) is characterized by secondary hyperparathyroidism and an increased risk of hip fractures predominantly related to cortical porosity. Unfortunately, bone mineral density measurements and high-resolution peripheral computed tomography (HR-pQCT) imaging have shortcomings that limit their utility in these patients. Ultrashort echo time magnetic resonance imaging (UTE-MRI) has the potential to overcome these limitations by providing an alternative assessment of cortical porosity. The goal of the current study was to determine if UTE-MRI could detect changes in porosity in an established rat model of CKD. Cy/+ rats (n = 11), an established animal model of CKD-MBD, and their normal littermates (n = 12) were imaged using microcomputed tomography (microCT) and UTE-MRI at 30 and 35 weeks of age (which approximates late-stage kidney disease in humans). Images were obtained at the distal tibia and the proximal femur. Cortical porosity was assessed using the percent porosity (Pore%) calculated from microCT imaging and the porosity index (PI) calculated from UTE-MRI. Correlations between Pore% and PI were also calculated. Cy/+ rats had higher Pore% than normal rats at both skeletal sites at 35 weeks (tibia = 7.13 % +/- 5.59 % vs. 0.51 % +/- 0.09 %, femur = 19.99 % +/- 7.72 % vs. 2.72 % +/- 0.32 %). They also had greater PI at the distal tibia at 30 weeks of age (0.47 +/- 0.06 vs. 0.40 +/- 0.08). However, Pore% and PI were only correlated in the proximal femur at 35 weeks of age (ρ = 0.929, Spearman). These microCT results are consistent with prior studies in this animal model utilizing microCT imaging. The UTE-MRI results were inconsistent, resulting in variable correlations with microCT imaging, which may be related to suboptimal bound and pore water discrimination at higher magnetic field strengths. Nevertheless, UTE-MRI may still provide an additional clinical tool to assess fracture risk without using ionizing radiation in CKD patients.
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Affiliation(s)
- Christopher L Newman
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America.
| | - Rachel K Surowiec
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | | | - Corinne E Metzger
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America
| | - Jieun Kim
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, United States of America
| | - Andrew A Tomaschke
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | - Neal X Chen
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Matthew R Allen
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America; Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, IN, United States of America; Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Joseph M Wallace
- Department of Biomedical Engineering, Indiana University-Purdue University, Indianapolis, Indianapolis, IN, United States of America
| | - Sharon M Moe
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Paul J Niziolek
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States of America
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28
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Gruenewald LD, Koch V, Martin SS, Yel I, Mahmoudi S, Bernatz S, Eichler K, Gruber-Rouh T, Pinto Dos Santos D, D'Angelo T, Wesarg S, Herrmann E, Golbach R, Handon M, Vogl TJ, Booz C. Dual-Energy CT-based Opportunistic Volumetric Bone Mineral Density Assessment of the Distal Radius. Radiology 2023; 308:e223150. [PMID: 37552067 DOI: 10.1148/radiol.223150] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Background In patients with distal radius fractures (DRFs), low bone mineral density (BMD) is associated with bone substitute use during surgery and bone nonunion, but BMD information is not regularly available. Purpose To evaluate the feasibility of dual-energy CT (DECT)-based BMD assessment from routine examinations in the distal radius and the relationship between the obtained BMD values, the occurrence of DRFs, bone nonunion, and use of surgical bone substitute. Materials and Methods Scans in patients who underwent routine dual-source DECT in the distal radius between January 2016 and December 2021 were retrospectively acquired. Phantomless BMD assessment was performed using the delineated trabecular bone of a nonfractured segment of the distal radius and both DECT image series. CT images and health records were examined to determine fracture severity, surgical management, and the occurrence of bone nonunion. Associations of BMD with the occurrence of DRFs, bone nonunion, and bone substitute use at surgical treatment were examined with generalized additive models and receiver operating characteristic analysis. Results This study included 263 patients (median age, 52 years; IQR, 36-64 years; 132 female patients), of whom 192 were diagnosed with fractures. Mean volumetric BMD was lower in patients who sustained a DRF (93.9 mg/cm3 vs 135.4 mg/cm3; P < .001), required bone substitutes (79.6 mg/cm3 vs 95.5 mg/cm3; P < .001), and developed bone nonunion (71.1 mg/cm3 vs 96.5 mg/cm3; P < .001). Receiver operating characteristic curve analysis identified these patients with an area under the curve of 0.71-0.91 (P < .001). Lower BMD increased the risk to sustain DRFs, develop bone nonunion, and receive bone substitutes at surgery (P < .001). Conclusion DECT-based BMD assessment at routine examinations is feasible and could help predict surgical bone substitute use and the occurrence of bone nonunion in patients with DRFs. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Carrino in this issue.
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Affiliation(s)
- Leon D Gruenewald
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Vitali Koch
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Simon S Martin
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Ibrahim Yel
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Scherwin Mahmoudi
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Simon Bernatz
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Katrin Eichler
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Tatjana Gruber-Rouh
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Daniel Pinto Dos Santos
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Tommaso D'Angelo
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Stefan Wesarg
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Eva Herrmann
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Rejane Golbach
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Marlin Handon
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Thomas J Vogl
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
| | - Christian Booz
- From the Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology (L.D.G., V.K., S.S.M., I.Y., C.B.), Department of Diagnostic and Interventional Radiology (S.M., S.B., K.E., T.G.R., D.P.D.S., M.H., T.J.V.), and Department of Biostatistics and Mathematical Modeling (E.H., R.G.), University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy (T.D.); Department of Radiology and Nuclear Medicine, Erasmus Medical College, Rotterdam, the Netherlands (T.D.); and Fraunhofer IGD, Darmstadt, Germany (S.W.)
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29
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Demehri S, Baffour FI, Klein JG, Ghotbi E, Ibad HA, Moradi K, Taguchi K, Fritz J, Carrino JA, Guermazi A, Fishman EK, Zbijewski WB. Musculoskeletal CT Imaging: State-of-the-Art Advancements and Future Directions. Radiology 2023; 308:e230344. [PMID: 37606571 PMCID: PMC10477515 DOI: 10.1148/radiol.230344] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/28/2023] [Accepted: 05/15/2023] [Indexed: 08/23/2023]
Abstract
CT is one of the most widely used modalities for musculoskeletal imaging. Recent advancements in the field include the introduction of four-dimensional CT, which captures a CT image during motion; cone-beam CT, which uses flat-panel detectors to capture the lower extremities in weight-bearing mode; and dual-energy CT, which operates at two different x-ray potentials to improve the contrast resolution to facilitate the assessment of tissue material compositions such as tophaceous gout deposits and bone marrow edema. Most recently, photon-counting CT (PCCT) has been introduced. PCCT is a technique that uses photon-counting detectors to produce an image with higher spatial and contrast resolution than conventional multidetector CT systems. In addition, postprocessing techniques such as three-dimensional printing and cinematic rendering have used CT data to improve the generation of both physical and digital anatomic models. Last, advancements in the application of artificial intelligence to CT imaging have enabled the automatic evaluation of musculoskeletal pathologies. In this review, the authors discuss the current state of the above CT technologies, their respective advantages and disadvantages, and their projected future directions for various musculoskeletal applications.
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Affiliation(s)
- Shadpour Demehri
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Francis I. Baffour
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Joshua G. Klein
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elena Ghotbi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Hamza Ahmed Ibad
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Kamyar Moradi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Katsuyuki Taguchi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Jan Fritz
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - John A. Carrino
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Ali Guermazi
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Elliot K. Fishman
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
| | - Wojciech B. Zbijewski
- From the Russell H. Morgan Department of Radiology and Radiological
Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of
Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine,
601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging,
Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.);
Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY
(J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston
University School of Medicine, Boston, Mass (A.G.)
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30
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Clemente-Suárez VJ, Martín-Rodríguez A, Redondo-Flórez L, López-Mora C, Yáñez-Sepúlveda R, Tornero-Aguilera JF. New Insights and Potential Therapeutic Interventions in Metabolic Diseases. Int J Mol Sci 2023; 24:10672. [PMID: 37445852 DOI: 10.3390/ijms241310672] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/13/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Endocrine homeostasis and metabolic diseases have been the subject of extensive research in recent years. The development of new techniques and insights has led to a deeper understanding of the mechanisms underlying these conditions and opened up new avenues for diagnosis and treatment. In this review, we discussed the rise of metabolic diseases, especially in Western countries, the genetical, psychological, and behavioral basis of metabolic diseases, the role of nutrition and physical activity in the development of metabolic diseases, the role of single-cell transcriptomics, gut microbiota, epigenetics, advanced imaging techniques, and cell-based therapies in metabolic diseases. Finally, practical applications derived from this information are made.
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Affiliation(s)
- Vicente Javier Clemente-Suárez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain
- Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, Barranquilla 080002, Colombia
| | | | - Laura Redondo-Flórez
- Department of Health Sciences, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Tajo Street s/n, 28670 Villaviciosa de Odon, Spain
| | - Clara López-Mora
- Facultad de Ciencias Biomédicas y de la Salud, Universidad Europea de Valencia, Pg. de l'Albereda, 7, 46010 València, Spain
| | - Rodrigo Yáñez-Sepúlveda
- Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar 2520000, Chile
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31
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Agarwal S, Germosen C, Bucovsky M, Colon I, Kil N, Walker M. Skeletal Microstructure in Caribbean Hispanic Women. JBMR Plus 2023; 7:e10725. [PMID: 37197315 PMCID: PMC10184017 DOI: 10.1002/jbm4.10725] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/18/2023] [Accepted: 01/23/2023] [Indexed: 01/27/2023] Open
Abstract
Hispanic individuals are underrepresented in skeletal research. Bone mineral density (BMD) and fracture data are conflicting. We investigated skeletal health in elderly Caribbean Hispanic (HW), non-Hispanic white (NHW), and non-Hispanic black (NHB) women in a population-based study in New York City. We utilized high-resolution peripheral quantitative CT (HRpQCT), dual-energy X-ray absorptiometry (DXA), and finite element analysis (FEA). Of 442, 48.4% were HW, 21.3% NHW, and 30.3% NHB. Adjusted analyses are shown. Compared to NHW, HW had 8.5% (p < 0.01) lower spine areal BMD (aBMD) and 5.1% lower trabecular bone score (TBS). The frequency of morphometric vertebral fractures did not differ between HW and NHW. By HRpQCT, HW had 2.9% higher cortical (Ct) volumetric BMD (vBMD), 7.9% greater Ct area (Ct.Ar) and 9.4% greater Ct thickness (Ct.Th) at the radius compared to NHW. Results were similar at the tibia but trabecular microstructure tended to be worse. Ultimately, failure load (FL) did not differ between HW and NHW at either site. aBMD was 3.8% to 11.1% lower at the spine, femoral neck, and radius in HW compared to NHB (all p < 0.001) and vertebral fractures were twice as common. Compared to NHB, HW had 7.7% to 10.3% lower Ct.Ar at both the radius and tibia as well as 8.4% lower total vBMD, 6.3% lower trabecular number, and 10.3% lower Ct.Th at the tibia associated with 18.2% and 12.5% lower FL at both sites, respectively. In conclusion, HW had lower spine aBMD and TBS versus NHW women, whereas microstructural differences at the radius and tibia were small and not associated with differences in FL. In contrast, HW had lower aBMD, as well as deteriorated radial and tibial microstructure associated with worse FL compared to NHB women. Our results provide insight into racial/ethnic differences in skeletal health, adding to data that may be used to improve osteoporosis screening and treatment in HW. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Sanchita Agarwal
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
| | - Carmen Germosen
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
| | - Mariana Bucovsky
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
| | - Ivelisse Colon
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
| | - Nayoung Kil
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
| | - Marcella Walker
- Division of EndocrinologyColumbia University Irving Medical CenterNew YorkNYUSA
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32
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Benedikt S, Horling L, Stock K, Degenhart G, Pallua J, Schmidle G, Arora R. The impact of motion induced artifacts in the evaluation of HR-pQCT scans of the scaphoid bone: an assessment of inter- and intraobserver variability and quantitative parameters. Quant Imaging Med Surg 2023; 13:1336-1349. [PMID: 36915364 PMCID: PMC10006159 DOI: 10.21037/qims-22-345] [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: 04/09/2022] [Accepted: 10/11/2022] [Indexed: 12/05/2022]
Abstract
Background In-vivo high-resolution peripheral quantitative computed tomography (HR-pQCT) has high potential in scaphoid bone pathologies' scientific and clinical fields. The manufacturer's visual grading scale (VGS) classifies motion artifacts and divides scans into five quality grades ranging from grade 1 (good quality) to grade 5 (poor quality). This prospective study aimed to investigate the feasibility of the VGS and the influence of image quality on bone density and microarchitecture parameters for the scaphoid bone. Methods Within one year, twenty-two patients with scaphoid fractures received up to six scans of their fractured and contralateral wrist (each consisting of three stacks) using second-generation HR-pQCT (total 256 scans). Three experienced observers graded each stack following the visual grading system, and inter- and intraobserver variability were assessed. The contralateral uninjured scaphoids were then compared pairwise within each patient to high-quality grade 1 scans to determine the influence of image quality on density and microarchitecture parameters. Results Inter- and intraobserver variability among the three observers significantly revealed fair to moderate agreement, P<0.001 and P<0.05, respectively. Bone volume (BV) fraction tended to increase with poorer image quality but did not exceed four percent. Trabecular bone mineral density (Tb.BMD) decreased with poorer image quality but did not exceed five percent. Trabecular number and trabecular thickness significantly increased by 15.5% and 6.8% at grade five (P<0.001), respectively, and trabecular separation significantly decreased by 13.7% at grade five (P<0.001). Conclusions This study revealed a considerable influence of motion on bone morphometry parameters of the scaphoid. Therefore, high image quality must be a central point in studies focusing on the histomorphometry of small objects. The high inter- and intraobserver variability limit the VGS. Future research may focus on other grading systems or automated techniques leading to more consistent and reproducible results. Currently, the use of microarchitectural analysis should be limited to cases without motion artefacts or, at most low graded motion artefacts.
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Affiliation(s)
- Stefan Benedikt
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
| | - Lukas Horling
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
| | - Kerstin Stock
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
| | - Gerald Degenhart
- Department of Radiology, Medical University Innsbruck, Innsbruck, Austria
| | - Johannes Pallua
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
| | - Gernot Schmidle
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
| | - Rohit Arora
- Department of Orthopaedics and Traumatology, Medical University Innsbruck, Innsbruck, Austria
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33
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Bergen DJM, Maurizi A, Formosa MM, McDonald GLK, El-Gazzar A, Hassan N, Brandi ML, Riancho JA, Rivadeneira F, Ntzani E, Duncan EL, Gregson CL, Kiel DP, Zillikens MC, Sangiorgi L, Högler W, Duran I, Mäkitie O, Van Hul W, Hendrickx G. High Bone Mass Disorders: New Insights From Connecting the Clinic and the Bench. J Bone Miner Res 2023; 38:229-247. [PMID: 36161343 PMCID: PMC10092806 DOI: 10.1002/jbmr.4715] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/05/2022] [Accepted: 09/22/2022] [Indexed: 02/04/2023]
Abstract
Monogenic high bone mass (HBM) disorders are characterized by an increased amount of bone in general, or at specific sites in the skeleton. Here, we describe 59 HBM disorders with 50 known disease-causing genes from the literature, and we provide an overview of the signaling pathways and mechanisms involved in the pathogenesis of these disorders. Based on this, we classify the known HBM genes into HBM (sub)groups according to uniform Gene Ontology (GO) terminology. This classification system may aid in hypothesis generation, for both wet lab experimental design and clinical genetic screening strategies. We discuss how functional genomics can shape discovery of novel HBM genes and/or mechanisms in the future, through implementation of omics assessments in existing and future model systems. Finally, we address strategies to improve gene identification in unsolved HBM cases and highlight the importance for cross-laboratory collaborations encompassing multidisciplinary efforts to transfer knowledge generated at the bench to the clinic. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Dylan J M Bergen
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK.,Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Antonio Maurizi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Melissa M Formosa
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.,Center for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
| | - Georgina L K McDonald
- School of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, UK
| | - Ahmed El-Gazzar
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Neelam Hassan
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | | | - José A Riancho
- Department of Internal Medicine, Hospital U M Valdecilla, University of Cantabria, IDIVAL, Santander, Spain
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece.,Center for Evidence Synthesis in Health, Policy and Practice, Center for Research Synthesis in Health, School of Public Health, Brown University, Providence, RI, USA.,Institute of Biosciences, University Research Center of loannina, University of Ioannina, Ioannina, Greece
| | - Emma L Duncan
- Department of Twin Research & Genetic Epidemiology, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.,Department of Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Douglas P Kiel
- Marcus Institute for Aging Research, Hebrew SeniorLife and Department of Medicine Beth Israel Deaconess Medical Center and Harvard Medical School, Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Luca Sangiorgi
- Department of Rare Skeletal Diseases, IRCCS Rizzoli Orthopaedic Institute, Bologna, Italy
| | - Wolfgang Högler
- Department of Paediatrics and Adolescent Medicine, Johannes Kepler University Linz, Linz, Austria.,Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | | | - Outi Mäkitie
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Centre, Folkhälsan Institute of Genetics, Helsinki, Finland
| | - Wim Van Hul
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
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34
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Automatic segmentation of trabecular and cortical compartments in HR-pQCT images using an embedding-predicting U-Net and morphological post-processing. Sci Rep 2023; 13:252. [PMID: 36604534 PMCID: PMC9816121 DOI: 10.1038/s41598-022-27350-0] [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: 10/07/2022] [Accepted: 12/30/2022] [Indexed: 01/07/2023] Open
Abstract
High-resolution peripheral quantitative computed tomography (HR-pQCT) is an emerging in vivo imaging modality for quantification of bone microarchitecture. However, extraction of quantitative microarchitectural parameters from HR-pQCT images requires an accurate segmentation of the image. The current standard protocol using semi-automated contouring for HR-pQCT image segmentation is laborious, introduces inter-operator biases into research data, and poses a barrier to streamlined clinical implementation. In this work, we propose and validate a fully automated algorithm for segmentation of HR-pQCT radius and tibia images. A multi-slice 2D U-Net produces initial segmentation predictions, which are post-processed via a sequence of traditional morphological image filters. The U-Net was trained on a large dataset containing 1822 images from 896 unique participants. Predicted segmentations were compared to reference segmentations on a disjoint dataset containing 386 images from 190 unique participants, and 156 pairs of repeated images were used to compare the precision of the novel and current protocols. The agreement of morphological parameters obtained using the predicted segmentation relative to the reference standard was excellent (R2 between 0.938 and > 0.999). Precision was significantly improved for several outputs, most notably cortical porosity. This novel and robust algorithm for automated segmentation will increase the feasibility of using HR-pQCT in research and clinical settings.
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35
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Surowiec RK, Swallow EA, Warden SJ, Allen MR. Tracking changes of individual cortical pores over 1 year via HR-pQCT in a small cohort of 60-year-old females. Bone Rep 2022; 17:101633. [PMID: 36337684 PMCID: PMC9634666 DOI: 10.1016/j.bonr.2022.101633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction High-resolution peripheral quantitative computed tomography (HR-pQCT) is a powerful tool that has revolutionized 3D longitudinal assessment of bone microarchitecture. However, cortical porosity, a common characteristic of cortical bone loss, is still often determined by static evaluation of overall porosity at one timepoint. Therefore, we sought to 1) describe a technique to evaluate individual cortical pore dynamics in aging females over one year using HR-pQCT imaging and 2) determine whether formation and expansion of pores would exceed contraction and infilling of pores. Methods HR-pQCT (60.7 μm resolution) images were acquired one year apart at the distal tibia and distal radius in seven female volunteers (60-72 years of age). Baseline and one-year images were registered at each bone site and a custom software was used to quantify dynamic activity of individual cortical pores using the following categories: developed, infilled, expanded, contracted, and static. Results Over the one-year period, cortical pores actively developed, contracted, expanded, and infilled. More pores expanded and developed vs. infilled or contracted leading to increased pore area in both tibial and radial sites (p = 0.0034 and p = 0.0474, respectively). Closed pores in the tibia, those that were not connected to the endosteal or periosteal surfaces, were the most dynamic of any pores type (open/closed) at either bone site. Conclusion This study demonstrates an approach to longitudinally track individual cortical pore activity in tibial and radial sites. These data expand conventional parameters for assessing cortical porosity and show increased porosity in one year of aging is caused by newly developed pores and expansion of existing pores.
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Affiliation(s)
- Rachel K. Surowiec
- Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Biomedical Engineering, Indiana University–Purdue University Indianapolis, Indianapolis, IN, United States
| | - Elizabeth A. Swallow
- Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Stuart J. Warden
- Department of Physical Therapy, School of Health & Human Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Matthew R. Allen
- Department of Anatomy, Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, IN, United States
- Roudebush Veterans Administration Medical Center, Indianapolis, IN, United States
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36
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Hansen SG, Lichtenstein MB, Johansen KK, Støving RK. Normal bone mineral density and bone microarchitecture in adult males with high and low risk of exercise addiction. Front Sports Act Living 2022; 4:1021442. [DOI: 10.3389/fspor.2022.1021442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/28/2022] [Indexed: 11/15/2022] Open
Abstract
Exercise addiction describes a pattern of excessive and obsessive exercise and is associated with hypoleptinemia and low testosterone that may have adverse skeletal effects. We used a validated questionnaire to identify males with high and low risk of exercise addiction. In a cross-sectional design, males (aged 21–49 years) with high (n = 20, exercise addictive) and low risk (n = 20, exercise controls) of exercise addiction had examinations of bone mass, bone microarchitecture, and estimated bone strength performed using dual-energy x-ray absorptiometry of the hip and spine and high-resolution peripheral quantitative computed tomography of the distal radius and tibia. Findings were compared between the groups and to a population-based sample of healthy men aged 20–80 years (n = 236). We found similar hip and spine bone mineral density in exercise addictive and controls. Cortical and trabecular bone microarchitecture and estimated bone strength in radius and tibia did not differ significantly between the groups. Multiple regression analyses adjusting for age, body weight, free testosterone, and hours of weekly training did not alter findings. Also, bone indices from both groups were within 95% prediction bands derived from the population-based sample for the vast majority of indices. Neither group had no associations between circulating leptin or free testosterone and bone outcomes. In conclusion, in a study on younger males, we found no associations between high risk of exercise addiction and various indices of bone mass and bone quality indicative of altered skeletal health.
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37
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Collins CJ, Atkins PR, Ohs N, Blauth M, Lippuner K, Müller R. Clinical observation of diminished bone quality and quantity through longitudinal HR-pQCT-derived remodeling and mechanoregulation. Sci Rep 2022; 12:17960. [PMID: 36289391 PMCID: PMC9606273 DOI: 10.1038/s41598-022-22678-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 10/18/2022] [Indexed: 01/24/2023] Open
Abstract
High resolution peripheral quantitative computed tomography (HR-pQCT) provides methods for quantifying volumetric bone mineral density and microarchitecture necessary for early diagnosis of bone disease. When combined with a longitudinal imaging protocol and finite element analysis, HR-pQCT can be used to assess bone formation and resorption (i.e., remodeling) and the relationship between this remodeling and mechanical loading (i.e., mechanoregulation) at the tissue level. Herein, 25 patients with a contralateral distal radius fracture were imaged with HR-pQCT at baseline and 9-12 months follow-up: 16 patients were prescribed vitamin D3 with/without calcium supplement based on a blood biomarker measures of bone metabolism and dual-energy X-ray absorptiometry image-based measures of normative bone quantity which indicated diminishing (n = 9) or poor (n = 7) bone quantity and 9 were not. To evaluate the sensitivity of this imaging protocol to microstructural changes, HR-pQCT images were registered for quantification of bone remodeling and image-based micro-finite element analysis was then used to predict local bone strains and derive rules for mechanoregulation. Remodeling volume fractions were predicted by both average values of trabecular and cortical thickness and bone mineral density (R2 > 0.8), whereas mechanoregulation was affected by dominance of the arm and group classification (p < 0.05). Overall, longitudinal, extended HR-pQCT analysis enabled the identification of changes in bone quantity and quality too subtle for traditional measures.
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Affiliation(s)
- Caitlyn J. Collins
- grid.5801.c0000 0001 2156 2780Institute for Biomechanics, ETH Zurich, Zurich, Switzerland ,grid.438526.e0000 0001 0694 4940Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA USA
| | - Penny R. Atkins
- grid.5801.c0000 0001 2156 2780Institute for Biomechanics, ETH Zurich, Zurich, Switzerland ,grid.5734.50000 0001 0726 5157Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland ,grid.223827.e0000 0001 2193 0096Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT USA
| | - Nicholas Ohs
- grid.5801.c0000 0001 2156 2780Institute for Biomechanics, ETH Zurich, Zurich, Switzerland
| | - Michael Blauth
- grid.5361.10000 0000 8853 2677Department of Orthopedics and Trauma Surgery, Medical University of Innsbruck, Innsbruck, Austria ,Clinical Medical Department DePuy Synthes, Zuchwil, Switzerland
| | - Kurt Lippuner
- grid.5734.50000 0001 0726 5157Department of Osteoporosis, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ralph Müller
- grid.5801.c0000 0001 2156 2780Institute for Biomechanics, ETH Zurich, Zurich, Switzerland
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38
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Whittier DE, Manske SL, Billington E, Walker RE, Schneider PS, Burt LA, Hanley DA, Boyd SK. Hip Fractures in Older Adults Are Associated With the Low Density Bone Phenotype and Heterogeneous Deterioration of Bone Microarchitecture. J Bone Miner Res 2022; 37:1963-1972. [PMID: 35895080 PMCID: PMC9804299 DOI: 10.1002/jbmr.4663] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 07/22/2022] [Accepted: 07/22/2022] [Indexed: 01/05/2023]
Abstract
Femoral neck areal bone mineral density (FN aBMD) is a key determinant of fracture risk in older adults; however, the majority of individuals who have a hip fracture are not considered osteoporotic according to their FN aBMD. This study uses novel tools to investigate the characteristics of bone microarchitecture that underpin bone fragility. Recent hip fracture patients (n = 108, 77% female) were compared with sex- and age-matched controls (n = 216) using high-resolution peripheral quantitative computed tomography (HR-pQCT) imaging of the distal radius and tibia. Standard morphological analysis of bone microarchitecture, micro-finite element analysis, and recently developed techniques to identify void spaces in bone microarchitecture were performed to evaluate differences between hip fracture patients and controls. In addition, a new approach for phenotyping bone microarchitecture was implemented to evaluate whether hip fractures in males and females occur more often in certain bone phenotypes. Overall, hip fracture patients had notable deterioration of bone microarchitecture and reduced bone mineral density compared with controls, especially at weight-bearing sites (tibia and femoral neck). Hip fracture patients were more likely to have void spaces present at either site and had void spaces that were two to four times larger on average when compared with non-fractured controls (p < 0.01). Finally, bone phenotyping revealed that hip fractures were significantly associated with the low density phenotype (p < 0.01), with the majority of patients classified in this phenotype (69%). However, female and male hip fracture populations were distributed differently across the bone phenotype continuum. These findings highlight how HR-pQCT can provide insight into the underlying mechanisms of bone fragility by using information about bone phenotypes and identification of microarchitectural defects (void spaces). The added information suggests that HR-pQCT can have a beneficial role in assessing the severity of structural deterioration in bone that is associated with osteoporotic hip fractures. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Danielle E Whittier
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Sarah L Manske
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Emma Billington
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Richard Ea Walker
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Prism S Schneider
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Lauren A Burt
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - David A Hanley
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada
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Lewiecki EM, Bilezikian JP, Binkley N, Bouxsein ML, Bukata SV, Dempster DW, Drake MT, McClung MR, Miller PD, Rosenthal E, Tosi LL. Proceedings of the 2022 Santa Fe Bone Symposium: Current Concepts in the Care of Patients with Osteoporosis and Metabolic Bone Diseases. J Clin Densitom 2022; 25:649-667. [PMID: 36280582 DOI: 10.1016/j.jocd.2022.10.002] [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: 10/08/2022] [Accepted: 10/12/2022] [Indexed: 11/11/2022]
Abstract
The 22nd Annual Santa Fe Bone Symposium (SFBS) was a hybrid meeting held August 5-6, 2022, with in-person and virtual attendees. Altogether, over 400 individuals registered, a majority of whom attended in-person, representing many states in the USA plus 7 other countries. The SFBS included 10 plenary presentations, 2 faculty panel discussions, satellite symposia, Bone Health & Osteoporosis Foundation Fracture Liaison Service Boot Camp, and a Project ECHO workshop, with lively interactive discussions for all events. Topics of interest included fracture prevention at different stages of life; how to treat and when to change therapy; skeletal health in cancer patients; advanced imaging to assess bone strength; the state of healthcare in the USA; osteosarcopenia; vitamin D update; perioperative bone health care; new guidelines for managing primary hyperparathyroidism; new concepts on bone modeling and remodeling; and an overview on the care of rare bone diseases, including hypophosphatasia, X-linked hypophosphatemia, tumor induced osteomalacia, osteogenesis imperfecta, fibrodysplasia ossificans progressiva, and osteopetrosis. The SFBS was preceded by the Santa Fe Fellows Workshop on Osteoporosis and Metabolic Bone Diseases, a collaboration of the Endocrine Fellows Foundation and the Osteoporosis Foundation of New Mexico. From the Workshop, 4 participating fellows were selected to give oral presentations at the bone symposium. These proceedings represent the clinical highlights of 2022 SFBS presentations and the discussions that followed, all with the aim of optimizing skeletal health and minimizing the consequences of fragile bones.
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Affiliation(s)
- E Michael Lewiecki
- New Mexico Clinical Research & Osteoporosis Center, Albuquerque, NM, USA.
| | - John P Bilezikian
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Neil Binkley
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | | | - David W Dempster
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | | | - Michael R McClung
- Oregon Osteoporosis Center, Portland, OR, USA; Mary MacKillop Center for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Paul D Miller
- University of Colorado Health Sciences Center, Denver, CO, USA
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Knowles NK, Neeteson N, Boyd SK. High performance multi-platform computing for large-scale image-based finite element modeling of bone. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 225:107051. [PMID: 35939979 DOI: 10.1016/j.cmpb.2022.107051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/28/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Image-based finite element (FE) modeling of bone is a non-invasive method to estimate bone stiffness and strength. High-resolution imaging data as input allows for inclusion of bone microarchitecture but results in large amounts of data unsuitable for traditional FE solvers. Bone-specific mesh-free solvers have been developed over the past 20 years to improve on memory efficiency in simulated bone loading applications. The objective of this study was to provide linear performance benchmarking for a bone-specific, mesh-free solver (FAIM) using µCT and HR-pQCT image data on Mac, Linux, and Windows operating systems using both single- and multi-thread CPU and GPU processing. METHODS The focus is on the linear gradient-descent solver using standardized uniaxial loading of bone models from µCT, and first- and second-generation HR-pQCT scans of the radius and tibia. Convergence, speedup, memory, and batch performance tests were completed using CPUs and GPUs on three laboratory-based systems with Windows, Linux, and Mac operating systems. RESULTS Although varying by system and model size, time-per-iteration was as low as 0.03 s when an HR-pQCT-based radius model (6.45 million DOF) was solved with 3 GPUs. Strong scaling was achieved with GPU and CPU parallel processing, with strong parallel efficiencies when models were solved using 3 GPUs or ≤ 10 CPU threads. Errors in force, strain energy density, and Von Mises stress were as low as 0.1% when a convergence tolerance of 10-3 or smaller was used. CONCLUSION The results of this study indicate that to maximize computational efficiency and minimize model solution times using FAIM software under the standardized tested conditions using µCT, XCT1 and XCT2 HR-pQCT image data, convergence tolerance set to 10-4, and 10 threads or 2 GPUs are sufficient for efficient solution times. Less strict convergence tolerances will improve solution times but will introduce more error in the outcome measures.
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Affiliation(s)
- Nikolas K Knowles
- Department of Radiology, University of Calgary, Calgary, AB, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada
| | - Nathan Neeteson
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada
| | - Steven K Boyd
- Department of Radiology, University of Calgary, Calgary, AB, Canada; McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada.
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Osteoporosis and fractures in rheumatoid arthritis - risk factors. Best Pract Res Clin Rheumatol 2022; 36:101757. [PMID: 35739049 DOI: 10.1016/j.berh.2022.101757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In this chapter, we emphasize among rheumatoid arthritis (RA) patients, whom and how to screen for osteoporosis. We highlight certain modalities, advancements in technology, secondary osteoporosis workup, and laboratory testing as well as their caveats. Finally, we discuss current guidance on how to direct the laboratory and radiology testing in the context of the individual patient with RA to guide and select from the osteoporosis treatment options currently available.
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Garrahan M, Gehman S, Rudolph SE, Tenforde AS, Ackerman KE, Popp KL, Bouxsein ML, Sahni S. Serum 25-Hydroxyvitamin D is Associated With Bone Microarchitecture and Strength in a Multiracial Cohort of Young Adults. J Clin Endocrinol Metab 2022; 107:e3679-e3688. [PMID: 35766873 PMCID: PMC9387703 DOI: 10.1210/clinem/dgac388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE To determine whether 25-hydroxyvitamin D (25-OH D) levels are associated with bone outcomes in a multiracial cohort of young adults. METHODS This cross-sectional study included 165 participants (83 men, 82 women, 18-30 years of age) who self-identified as Asian, Black, or White. We measured bone microarchitecture and strength of the distal radius and tibia using high-resolution peripheral quantitative computed tomography. We used linear regression to estimate the association between 25-OH D (ng/mL) and bone measurements, adjusting for race, sex, age, weight, height, calcium intake, physical activity, and season. RESULTS A total of 43.6% of participants were 25-OH D deficient (<20 ng/mL) with greater prevalence in Asian (38.9%) and Black (43.1%) compared with White (18.0%) participants (P < 0.001). At the distal radius, 25-OH D was positively associated with cortical area, trabecular density, cortical thickness, cortical porosity, and failure load (P < 0.05 for all). At the distal tibia, higher 25-OH D was associated with higher cortical area, trabecular density, trabecular number, failure load, and lower trabecular separation and cortical density (P < 0.05 for all). After multivariable adjustment, those with 25-OH D deficiency had generally worse bone microarchitecture than those with 25-OH D sufficiency. Black individuals had largely more favorable bone outcomes than Asian and White individuals, despite higher prevalence of 25-OH D deficiency. CONCLUSIONS We found a high prevalence of 25-OH D deficiency in a multiracial cohort of young adults. Lower 25-OH D was associated with worse bone outcomes at the distal radius and tibia at the time of peak bone mass, warranting further attention to vitamin D status in young adults.
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Affiliation(s)
- Margaret Garrahan
- Endocrine Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sarah Gehman
- Endocrine Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sara E Rudolph
- Endocrine Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Adam S Tenforde
- Harvard Medical School, Boston, MA 02215, USA
- Spaulding Rehabilitation Hospital, Cambridge, MA 02138, USA
| | - Kathryn E Ackerman
- Endocrine Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02215, USA
- Boston Children’s Hospital, Boston, MA 02215, USA
| | - Kristin L Popp
- Endocrine Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Boston, MA 02215, USA
- United StatesArmy Research Institute of Environmental Medicine, Natick, MA 01760, USA
| | - Mary L Bouxsein
- Correspondence: Mary L. Bouxsein, PhD, Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, RN115, 330 Brookline Avenue, Boston, MA 02215.
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Uppuganti S, Ketsiri T, Zhang Y, Does MD, Nyman JS. HR-pQCT parameters of the distal radius correlate with the bending strength of the radial diaphysis. Bone 2022; 161:116429. [PMID: 35526827 PMCID: PMC9798769 DOI: 10.1016/j.bone.2022.116429] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 04/14/2022] [Accepted: 05/03/2022] [Indexed: 12/31/2022]
Abstract
High resolution, peripheral quantitative computed tomography (HR-pQCT) scanners can now characterize an individual's trabecular architecture, cortical structure, and volumetric bone mineral density at a nominal resolution of 61 μm. While predictions of failure load of the distal radius and tibial diaphysis in compression by finite element analysis (FEA) of HR-pQCT scans have been validated against mechanical tests of cadaveric bones in compression, namely for images with nominal resolutions of 82 μm and 165 μm, the HR-pQCT parameters that best predict bending strength of cortical bone remain unknown. Therefore, we scanned cadaveric forearms from 31 elderly donors (Female: 72.8 ± 8.8 years and Male: 72.1 ± 6.3 years), and then loaded the radial diaphysis to failure in three-point bending after denuding each bone (38 in total). The cortical parameters had stronger correlations with ultimate moment than the trabecular parameters such that cortical area and estimated failure load of the distal radius had the highest Spearman correlation coefficients (r = 0.89 and r = 0.81, respectively, p < 0.0001). Despite being a known determinant of bone strength, cortical porosity of the distal radius did not correlate with ultimate moment (p = 0.8537). In multivariate linear regressions with section modulus (SM) of the radial diaphysis as one of two predictors of bending strength, cortical area and cortical thickness were each significant contributors to the prediction of ultimate moment. Their contribution was one-half and one-third, respectively, of the contribution from SM. None of the HR-pQCT parameters were strongly correlated with post-yield displacement, an indicator of bone brittleness. In support of HR-pQCT imaging of the distal radius to identify individuals with osteoporosis, the present study found that parameters of the cortex and failure load predictions by linear FEA are strongly related to the bending strength of cortical bone.
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Affiliation(s)
- Sasidhar Uppuganti
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA; Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, 1211 Medical Center Dr., Nashville, TN 37212, USA
| | - Thammathida Ketsiri
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
| | - Yumeng Zhang
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
| | - Mark D Does
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA; Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN 37232, USA; Department of Electrical Engineering and Computer Science, Vanderbilt University, 400 24th Ave. S., Nashville, TN 37212, USA
| | - Jeffry S Nyman
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA; Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, 1211 Medical Center Dr., Nashville, TN 37212, USA; Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA; Department of Veterans Affairs, Tennessee Valley Healthcare System, 1310 24th Ave. S., Nashville, TN 37212, USA.
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Klintström B, Henriksson L, Moreno R, Malusek A, Smedby Ö, Woisetschläger M, Klintström E. Photon-counting detector CT and energy-integrating detector CT for trabecular bone microstructure analysis of cubic specimens from human radius. Eur Radiol Exp 2022; 6:31. [PMID: 35882679 PMCID: PMC9325937 DOI: 10.1186/s41747-022-00286-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 05/23/2022] [Indexed: 12/03/2022] Open
Abstract
Background As bone microstructure is known to impact bone strength, the aim of this in vitro study was to evaluate if the emerging photon-counting detector computed tomography (PCD-CT) technique may be used for measurements of trabecular bone structures like thickness, separation, nodes, spacing and bone volume fraction. Methods Fourteen cubic sections of human radius were scanned with two multislice CT devices, one PCD-CT and one energy-integrating detector CT (EID-CT), using micro-CT as a reference standard. The protocols for PCD-CT and EID-CT were those recommended for inner- and middle-ear structures, although at higher mAs values: PCD-CT at 450 mAs and EID-CT at 600 (dose equivalent to PCD-CT) and 1000 mAs. Average measurements of the five bone parameters as well as dispersion measurements of thickness, separation and spacing were calculated using a three-dimensional automated region growing (ARG) algorithm. Spearman correlations with micro-CT were computed. Results Correlations with micro-CT, for PCD-CT and EID-CT, ranged from 0.64 to 0.98 for all parameters except for dispersion of thickness, which did not show a significant correlation (p = 0.078 to 0.892). PCD-CT had seven of the eight parameters with correlations ρ > 0.7 and three ρ > 0.9. The dose-equivalent EID-CT instead had four parameters with correlations ρ > 0.7 and only one ρ > 0.9. Conclusions In this in vitro study of radius specimens, strong correlations were found between trabecular bone structure parameters computed from PCD-CT data when compared to micro-CT. This suggests that PCD-CT might be useful for analysing bone microstructure in the peripheral human skeleton.
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Affiliation(s)
- Benjamin Klintström
- Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, SE-14157, Huddinge, Sweden.
| | - Lilian Henriksson
- Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-58185, Linköping, Sweden.,Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, SE-58185, Linköping, Sweden
| | - Rodrigo Moreno
- Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, SE-14157, Huddinge, Sweden
| | - Alexandr Malusek
- Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-58185, Linköping, Sweden.,Radiation Physics, Department of Health, Medicine and Caring Sciences, Linköping University, SE-58183, Linköping, Sweden
| | - Örjan Smedby
- Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Hälsovägen 11C, SE-14157, Huddinge, Sweden
| | - Mischa Woisetschläger
- Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-58185, Linköping, Sweden.,Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, SE-58185, Linköping, Sweden
| | - Eva Klintström
- Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-58185, Linköping, Sweden.,Department of Radiology and Department of Health, Medicine and Caring Sciences, Linköping University, SE-58185, Linköping, Sweden
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Ciuffi S, Marini F, Fossi C, Donati S, Giusti F, Botta A, Masi L, Isaia G, Marcocci C, Migliaccio S, Minisola S, Nuti R, Tarantino U, Iantomasi T, Brandi ML. Circulating MicroRNAs as Biomarkers of Osteoporosis and Fragility Fractures. J Clin Endocrinol Metab 2022; 107:2267-2285. [PMID: 35532548 DOI: 10.1210/clinem/dgac293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Measurement of circulating microRNAs (miRNAs) as potential biomarkers of fragility fracture risk has recently become a subject of investigation. OBJECTIVE Measure by next-generation sequencing (NGS), global miRNA expression in serum samples of osteoporotic subjects vs individuals with normal bone mineral density (BMD). DESIGN Samples were collected from patients with different bone phenotypes and/or fragility fractures who did not receive any antiresorptive and/or bone-forming drug at the time of blood collection. SETTING Samples and data were collected at 7 medical centers in Italy. PATIENTS NGS prescreening: 50 osteoporotic patients vs 30 individuals with normal BMD. Droplet digital polymerase chain reaction (ddPCR) validation: 213 patients with different bone phenotypes, including the NGS-analyzed cohort. RESULTS NGS identified 5 miRNAs (miR-8085, miR-320a-3p, miR-23a-3p, miR-4497, miR-145-5p) differentially expressed in osteoporosis cases without fractures vs controls. ddPCR validation confirmed lower c-miR-23a-3p expression in osteoporotic patients, with or without fracture, than in osteopenic and normal subjects and increased c-miR-320a-3p expression in osteoporotic patients with fracture and lower expression in osteoporotic patients without fracture. ddPCR analysis showed a significantly increased expression of miR-21-5p in osteoporotic patients, with or without fracture, than in osteopenic and normal subjects, not evidenced by the NGS prescreening. DISCUSSION Our study confirmed levels of c-miR-23a-3p and c-miR-21-5p as able to distinguish osteoporotic patients and subjects with normal BMD. Increased levels of c-miR-320a-3p specifically associated with fractures, independently by BMD, suggesting c-miR-320a-3p as a prognostic indicator of fracture risk in osteoporotic patients, to be confirmed in prospective studies on incident fractures.
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Affiliation(s)
- Simone Ciuffi
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
| | - Francesca Marini
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
- FirmoLab, F.I.R.M.O. Italian Foundation for the Research on Bone Diseases, Florence, Italy
| | - Caterina Fossi
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
| | - Simone Donati
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
| | - Francesca Giusti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
| | - Annalisa Botta
- Department of Biomedicine and Prevention, Medical Genetics Section, University of Rome "Tor Vergata," Rome, Italy
| | - Laura Masi
- AOU Careggi, SOD Malattie del Metabolismo Minerale ed Osseo, Florence, Italy
| | - Giancarlo Isaia
- Department of Medical Science, Gerontology Section, University of Turin, Turin, Italy
| | - Claudio Marcocci
- Department of Clinical and Experimental Medicine, Endocrinology Unit II, University of Pisa and University Hospital of Pisa, Pisa, Italy
| | - Silvia Migliaccio
- Department of Movement, Human and Health Sciences, University of "Foro Italico" of Rome, Rome, Italy
| | - Salvatore Minisola
- Dipartimento di Scienze Cliniche, Internistiche, anestesiologiche e cardiovascolari: "Sapienza," Università di Roma, Rome, Italy
| | - Ranuccio Nuti
- Department of Medicine, Surgery and Neuroscience, University of Siena, Policlinico Le Scotte, Siena, Italy
| | - Umberto Tarantino
- Department of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata" Rome, Italy
| | - Teresa Iantomasi
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio," University of Study of Florence, Florence, Italy
| | - Maria Luisa Brandi
- FirmoLab, F.I.R.M.O. Italian Foundation for the Research on Bone Diseases, Florence, Italy
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Similarities and Differences in Bone Mineral Density between Multiple Sites in the Same Individual: An Elderly Cadaveric Study. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6094663. [PMID: 35711524 PMCID: PMC9197619 DOI: 10.1155/2022/6094663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022]
Abstract
Bone mineral density (BMD) is known to vary based on various factors, and the degree of variation is site-specific. However, few studies have investigated the relationship between bone density at trabecular bone-rich and cortical bone-rich sites in the same individual. In this study, we attempted to measure BMD at multiple sites using whole-body computed tomography images taken immediately after death and to clarify the similarities and differences between skeletal sites. Additionally, we aimed to examine the factors that influence changes in BMD, such as the loading environment, bone microstructure, and the ossification process of each skeletal region. A 3D model containing BMD data of the skull, clavicle, lumbar vertebrae, and femur (neck and diaphysis) was created using computed tomography images taken immediately after the death of 60 individuals (28 men and 32 women, average age: 84.0 years) who consented to participate in the study before death. Arbitrary measurement sites were defined, and bone density was measured at each site. We found that the BMDs of all regions were negatively correlated with age, but this correlation was weaker in the skull than in other regions. The negative correlation was especially pronounced in areas with more trabecular bones in men and in areas with more cortical bones in women. Furthermore, these findings suggest that factors, such as the loading environment, bone microstructure, and the ossification process of the skeletal sites, affect the BMD. Furthermore, our results suggest that it is important to assess the BMD of cortical bone in older women.
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Geusens P, Bevers MS, van Rietbergen B, Messina OD, Lespessailles E, Oliveri B, Chapurlat R, Engelke K, Chines A, Huang S, Saag KG, van den Bergh JP. Effect of Denosumab Compared With Risedronate on Bone Strength in Patients Initiating or Continuing Glucocorticoid Treatment. J Bone Miner Res 2022; 37:1136-1146. [PMID: 35340062 PMCID: PMC9324223 DOI: 10.1002/jbmr.4551] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 02/24/2022] [Accepted: 03/13/2022] [Indexed: 11/10/2022]
Abstract
In a randomized clinical trial in patients initiating glucocorticoid therapy (GC-I) or on long-term therapy (GC-C), denosumab every 6 months increased spine and hip bone mineral density at 12 and 24 months significantly more than daily risedronate. The aim of this study was to evaluate the effects of denosumab compared with risedronate on bone strength and microarchitecture measured by high-resolution peripheral quantitative computed tomography (HR-pQCT) in GC-I and GC-C. A subset of 110 patients had high-resolution peripheral quantitative computed tomography (HR-pQCT) scans of the distal radius and tibia at baseline and at 12 and 24 months. Cortical and trabecular microarchitecture were assessed with standard analyses and failure load (FL) with micro-finite element analysis. At the radius at 24 months, FL remained unchanged with denosumab and significantly decreased with risedronate in GC-I (-4.1%, 95% confidence interval [CI] -6.4, -1.8) and, in GC-C, it significantly increased with denosumab (4.3%, 95% CI 2.1, 6.4) and remained unchanged with risedronate. Consequently, FL was significantly higher with denosumab than with risedronate in GC-I (5.6%, 95% CI 2.4, 8.7, p < 0.001) and in GC-C (4.1%, 95% CI 1.1, 7.2, p = 0.011). We also found significant differences between denosumab and risedronate in percentage changes in cortical and trabecular microarchitectural parameters in GC-I and GC-C. Similar results were found at the tibia. To conclude, this HR-pQCT study shows that denosumab is superior to risedronate in terms of preventing FL loss at the distal radius and tibia in GC-I and in increasing FL at the radius in GC-C, based on significant differences in changes in the cortical and trabecular bone compartments between treatment groups in GC-I and GC-C. These results suggest that denosumab could be a useful therapeutic option in patients initiating GC therapy or on long-term GC therapy and may contribute to treatment decisions in this patient population. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Piet Geusens
- Department of Internal Medicine, Subdivision of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Melissa Sam 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
| | - 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
| | - Osvaldo D Messina
- IRO Medical Center, Investigaciones Reumatologicas y Osteologicas SRL, Buenos Aires, Argentina
| | - Eric Lespessailles
- Regional Hospital of Orleans, Translational Medicine Research Platform, PRIMMO, Orleans, France
| | - Beatriz Oliveri
- INIGEM, Hospital de Clínicas José de San Martin, Buenos Aires, Argentina
| | - Roland Chapurlat
- INSERM UMR 1033, Université de Lyon, Hospital Edouard Herriot, Lyon, France
| | - Klaus Engelke
- Bioclinica Inc, Hamburg, Germany.,Department of Medicine 3, FAU University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | | | | | - Kenneth G Saag
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Joop P van den Bergh
- Department of Internal Medicine, Subdivision of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands.,Department of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.,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
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Li X, Xie Y, Lu R, Zhang Y, Tao H, Chen S. Relationship between oseteoporosis with fatty infiltration of paraspinal muscles based on QCT examination. J Bone Miner Metab 2022; 40:518-527. [PMID: 35239028 DOI: 10.1007/s00774-022-01311-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 01/07/2022] [Indexed: 12/23/2022]
Abstract
INTRODUCTION To investigate the correlation between paraspinal muscles features and osteoporosis in lumbar spine. MATERIALS AND METHODS A total of 367 subjects who underwent quantitative computed tomography (QCT) examination were enrolled in this study. QCT pro workstation was used to obtain the mean bone mineral density (BMD) of the lower lumbar spine. Fat fraction (FF) and cross-section area (CSA) of the paraspinal muscles at the corresponding levels were measured. All participants were divided into normal, osteopenia, and osteoporosis groups. One-way ANOVA and independent samples t tests were performed to compare differences between groups. Pearson and Spearman correlation coefficients and partial correlation analysis after controlling for confounding factors were used to analyze the correlation between BMD and paraspinal muscles measurements. RESULTS Among the 367 participants included, 116 were in the normal group, 130 in the osteopenia group and 121 in the osteoporosis group. There were significant differences among the three groups for the mean and multifidus FF. BMD showed negative correlations with the FF of the paraspinal muscles. Multifidus and mean FF showed the best correlation (r = - 0.654, - 0.777). There were also significant differences in the mean and multifidus FF between different age groups, while after controlling for confounding factors, there was no correlation between age and FF of the paraspinal muscles. CONCLUSION This preliminary study demonstrated the association of BMD with fatty infiltration of paraspinal muscles. Different muscles might have specific effects in different sex and age groups.
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Affiliation(s)
- Xiangwen Li
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China
| | - Yuxue Xie
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China
| | - Rong Lu
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China
| | - Yuyang Zhang
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China
| | - Hongyue Tao
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China
| | - Shuang Chen
- Department of Radiology and Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Road, Shanghai, 200040, China.
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Warden SJ, Liu Z, Fuchs RK, van Rietbergen B, Moe SM. Reference data and calculators for second-generation HR-pQCT measures of the radius and tibia at anatomically standardized regions in White adults. Osteoporos Int 2022; 33:791-806. [PMID: 34590158 PMCID: PMC8934267 DOI: 10.1007/s00198-021-06164-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/18/2021] [Indexed: 01/18/2023]
Abstract
UNLABELLED High-resolution peripheral quantitative computed tomography (HR-pQCT) is a powerful tool to assess bone health. To determine how an individual's or population of interest's HR-pQCT outcomes compare to expected, reference data are required. This study provides reference data for HR-pQCT measures acquired in a population of White adults. PURPOSE To provide age- and sex-specific reference data for high-resolution peripheral quantitative computed tomography (HR-pQCT) measures of the distal and diaphyseal radius and tibia acquired using a second-generation scanner and percent-of-length offsets proximal from the end of the bone. METHODS Data were acquired in White adults (aged 18-80 years) living in the Midwest region of the USA. HR-pQCT scans were performed at the 4% distal radius, 30% diaphyseal radius, 7.3% distal tibia, and 30% diaphyseal tibia. Centile curves were fit to the data using the LMS approach. RESULTS Scans of 867 females and 317 males were included. The fitted centile curves reveal HR-pQCT differences between ages, sexes, and sites. They also indicate differences when compared to data obtained by others using fixed length offsets. Excel-based calculators based on the current data were developed and are provided to enable computation of subject-specific percentiles, z-scores, and t-scores and to plot an individual's outcomes on the fitted curves. In addition, regression equations are provided to convert estimated failure load acquired with the conventional criteria utilized with first-generation scanners and those specifically developed for second-generation scanners. CONCLUSION The current study provides unique data and resources. The combination of the reference data and calculators provide clinicians and investigators an ability to assess HR-pQCT outcomes in an individual or population of interest, when using the described scanning and analysis procedure. Ultimately, the expectation is these data will be expanded over time so the wealth of information HR-pQCT provides becomes increasingly interpretable and utilized.
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Affiliation(s)
- S J Warden
- Department of Physical Therapy, School of Health and Human Sciences, Indiana University, 1140 W. Michigan St., CF-120, Indianapolis, IN, 46202, USA.
- Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA.
| | - Z Liu
- Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA
- Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - R K Fuchs
- Department of Physical Therapy, School of Health and Human Sciences, Indiana University, 1140 W. Michigan St., CF-120, Indianapolis, IN, 46202, USA
- Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA
| | - B van Rietbergen
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - S M Moe
- Indiana Center for Musculoskeletal Health, Indiana University, Indianapolis, IN, USA
- Division of Nephrology, Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA
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Effective Spatial Resolution of Photon Counting CT for Imaging of Trabecular Structures is Superior to Conventional Clinical CT and Similar to High Resolution Peripheral CT. Invest Radiol 2022; 57:620-626. [PMID: 35318968 DOI: 10.1097/rli.0000000000000873] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Photon counting computed tomography (PCCT) might offer an effective spatial resolution that is significantly improved compared with conventional state-of-the-art computed tomography (CT) and even provide a microstructural level of detail similar to high-resolution peripheral CT (HR-pQCT). The aim of this study was to evaluate the volumetric effective spatial resolution of clinically approved PCCT as an alternative to HR-pQCT for ex vivo or preclinical high-resolution imaging of bone microstructure. MATERIALS AND METHODS The experiment contained 5 human vertebrae embedded in epoxy resin, which were scanned 3 times each, and on 3 different clinical CT scanners: a PCCT (Naeotom Alpha), a dual-energy CT (Somatom Force [SF]), and a single-energy CT (Somatom Sensation 40 [S40]), all manufactured by Siemens Healthineers (Erlangen, Germany). Scans were performed with a tube voltage of 120 kVp and, to provide maximum scan performance and minimum noise deterioration, with exposures of 1500 mAs (SF), 2400 mAs (S40), and 4500 mAs (PCCT) and low slice increments of 0.1 (PCCT) and 0.3 mm (SF, S40). Images were reconstructed with sharp and very sharp bone kernels, Br68 and Br76 (PCCT), Br64 (SF), and B65s and B75h (S40). Ground truth information was obtained from an XtremeCT scanner (Scanco, Brüttisellen, Switzerland). Voxel-wise comparison was performed after registration, calibration, and resampling of the volumes to isotropic voxel size of 0.164 mm. Three-dimensional point spread- and modulation-transfer functions were calculated with Wiener's deconvolution in the anatomical trabecular structure, allowing optimum estimation of device- and kernel-specific smoothing properties as well as specimen-related diffraction effects on the measurement. RESULTS At high contrast (modulation transfer function [MTF] of 10%), radial effective resolutions of PCCT were 10.5 lp/cm (minimum resolvable object size 476 μm) for kernel Br68 and 16.9 lp/cm (295 μm) for kernel Br76. At low contrast (MTF 5%), radial effective spatial resolutions were 10.8 lp/cm (464 μm) for kernel Br68 and 30.5 lp/cm (164 μm) for kernel Br76. Axial effective resolutions of PCCT for both kernels were between 27.0 (185 μm) and 29.9 lp/cm (167 μm). Spatial resolutions with kernel Br76 might possibly be still higher but were technically limited by the isotropic voxel size of 164 μm. The effective volumetric resolutions of PCCT with kernel Br76 ranged between 61.9 (MTF 10%) and 222.4 (MTF 5%) elements per cubic mm. Photon counting CT improved the effective volumetric resolution by factor 5.5 (MTF 10%) and 18 (MTF 5%) compared with SF and by a factor of 8.7 (MTF 10%) and 20 (MTF 5%) compared with S40. Photon counting CT allowed obtaining similar structural information as HR-pQCT. CONCLUSIONS The effective spatial resolution of PCCT in trabecular bone imaging was comparable with that of HR-pQCT and more than 5 times higher compared with conventional CT. For ex vivo samples and when patient radiation dose can be neglected, PCCT allows imaging bone microstructure at a preclinical level of detail.
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