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Ulmer CZ, Kritmetapak K, Singh RJ, Vesper HW, Kumar R. High-Resolution Mass Spectrometry for the Measurement of PTH and PTH Fragments: Insights into PTH Physiology and Bioactivity. J Am Soc Nephrol 2022; 33:1448-1458. [PMID: 35396262 PMCID: PMC9342634 DOI: 10.1681/asn.2022010036] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Full-length parathyroid hormone (PTH 1-84) is crucial for the regulation of calcium and phosphate homeostasis and bone remodeling. PTH 1-84 is metabolized into various PTH fragments, which are measured with varying levels of efficiency by PTH immunoassays. These PTH fragments, which increase in serum as CKD progresses, could potentially modulate the effects of PTH 1-84 and contribute to CKD-associated bone disorders. To obtain a true biologic representation of total PTH bioactivity, it is necessary to measure not only PTH 1-84 but also PTH fragments that are present in circulation. Traditional second-generation PTH immunoassays collectively measure PTH 1-84, PTH fragments, and post-translationally modified PTH 1-84, making it difficult to accurately predict the character of underlying renal osteodystrophy. This review highlights current advances in methods available for PTH measurement and the clinical relevance of PTH fragments in CKD. We emphasize the usefulness of mass spectrometry as a potential reference method for PTH measurement.
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Affiliation(s)
- Candice Z. Ulmer
- Clinical Chemistry Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kittrawee Kritmetapak
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Ravinder J. Singh
- Immunochemical Core Laboratory, Mayo Clinic, Rochester, Minnesota,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Hubert W. Vesper
- Clinical Chemistry Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Rajiv Kumar
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota,Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota
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Offiah AC. Current and emerging artificial intelligence applications for pediatric musculoskeletal radiology. Pediatr Radiol 2022; 52:2149-2158. [PMID: 34272573 PMCID: PMC9537230 DOI: 10.1007/s00247-021-05130-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/28/2021] [Accepted: 06/10/2021] [Indexed: 12/03/2022]
Abstract
Artificial intelligence (AI) is playing an ever-increasing role in radiology (more so in the adult world than in pediatrics), to the extent that there are unfounded fears it will completely take over the role of the radiologist. In relation to musculoskeletal applications of AI in pediatric radiology, we are far from the time when AI will replace radiologists; even for the commonest application (bone age assessment), AI is more often employed in an AI-assist mode rather than an AI-replace or AI-extend mode. AI for bone age assessment has been in clinical use for more than a decade and is the area in which most research has been conducted. Most other potential indications in children (such as appendicular and vertebral fracture detection) remain largely in the research domain. This article reviews the areas in which AI is most prominent in relation to the pediatric musculoskeletal system, briefly summarizing the current literature and highlighting areas for future research. Pediatric radiologists are encouraged to participate as members of the research teams conducting pediatric radiology artificial intelligence research.
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Affiliation(s)
- Amaka C. Offiah
- grid.11835.3e0000 0004 1936 9262Department of Oncology and Metabolism, University of Sheffield, Damer Street Building, Sheffield, S10 2TH UK ,grid.419127.80000 0004 0463 9178Department of Radiology, Sheffield Children’s NHS Foundation Trust, Sheffield, UK
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Shalof H, Dimitri P, Shuweihdi F, Offiah AC. "Which skeletal imaging modality is best for assessing bone health in children and young adults compared to DXA? A systematic review and meta-analysis". Bone 2021; 150:116013. [PMID: 34029779 DOI: 10.1016/j.bone.2021.116013] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 05/07/2021] [Accepted: 05/14/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Skeletal imaging techniques have become clinically valuable methods for measuring and assessing bone mineral density in children and young people. Dual-energy X-ray absorptiometry (DXA) is the current reference standard for evaluating bone density, as recommended by the International Society for Clinical Densitometry (ISCD). Various bone imaging modalities, such as quantitative ultrasound (QUS), peripheral quantitative computed tomography (pQCT), high-resolution peripheral quantitative computed tomography (HR-pQCT), magnetic resonance imaging (MRI), and digital X-ray radiogrammetry (DXR) have been developed to further quantify bone health in children and adults. The purpose of this review, with meta-analysis, was to systematically research the literature to compare the various imaging methods and identify the best modality for assessing bone status in healthy papulations and children and young people with chronic disease (up to 18 years). METHODS A systematic computerized search of Medline, PubMed, and Web of Science databases was conducted to identify English-only studies published between 1st January 1990 and 1st December 2019. In this review, clinical studies comparing imaging modalities with DXA were chosen according to the inclusion criteria. The risk of bias and quality of articles was assessed using the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2). The meta-analysis to estimate the overall correlation was performed using a Fisher Z transformation of the correlation coefficient. Additionally, the diagnostic accuracy measures of different imaging methods compared with DXA were calculated. RESULTS The initial search strategy identified 13,412 papers, 29 of which matched the inclusion and exclusion criteria. Of these, twenty-two papers were included in the meta-analysis. DXA was compared to QUS in 17 papers, to DXR in 7 and to pQCT in 4 papers. A single paper compared DXA, DXR, and pQCT. The meta-analysis demonstrated that the strongest correlation was between DXR and DXA, with a coefficient of 0.71 [95%CI: 0.43; 1.00, p-value < 0.001], while the correlation coefficients between QUS and DXA, and pQCT and DXA were 0.57 [95%CI: 0.25; 0.90, p-value < 0.001] and 0.57 [95%CI: 0.46; 0.67, p-value < 0.001], respectively. The overall sensitivity and specificity were statistically significant 0.71 and 0.80, respectively. CONCLUSION No current imaging modality provides a full evaluation of bone health in children and young adults, with each method having some limitations. Compared to QUS and pQCT, DXR achieved the strongest positive relationship with DXA. DXR should be further evaluated as a reliable method for assessing bone health and as a predictor of fractures in children and young people.
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Affiliation(s)
- Heba Shalof
- Academic Unit of Child Health, Department of Oncology and Metabolism, University of Sheffield, Damer Street Building, Western Bank, Sheffield S10 2TH, United Kingdom; Faculty of Medicine, Omar Al-Mukhtar University, Bayda, Libya.
| | - Paul Dimitri
- Academic Unit of Child Health, Department of Oncology and Metabolism, University of Sheffield, Damer Street Building, Western Bank, Sheffield S10 2TH, United Kingdom; Department of Pediatric Endocrinology, Sheffield Children's NHS Foundation Trust, Western Bank, Sheffield, United Kingdom
| | - Farag Shuweihdi
- Leeds Institute of Health Sciences, School of medicine, University of Leeds, Leeds, United Kingdom
| | - Amaka C Offiah
- Academic Unit of Child Health, Department of Oncology and Metabolism, University of Sheffield, Damer Street Building, Western Bank, Sheffield S10 2TH, United Kingdom; Radiology Department, Sheffield Children's NHS Foundation Trust, Western Bank, Sheffield, United Kingdom
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Tung JYL, Lam TP, Chan SHS. Bone microarchitectural alterations in boys with Duchenne muscular dystrophy on long-term glucocorticoid treatment. J Bone Miner Metab 2021; 39:606-611. [PMID: 33400004 DOI: 10.1007/s00774-020-01196-w] [Citation(s) in RCA: 3] [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: 06/11/2020] [Accepted: 12/10/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Osteoporosis is a major health issue in boys with Duchenne muscular dystrophy (DMD). Data on the specific bone deficits and microarchitectural alterations in children with DMD were limited. This study aimed to assess the bone microarchitectural alterations in boys with DMD on long-term glucocorticoid using high-resolution peripheral quantitative computed tomography (HR-pQCT). MATERIALS AND METHODS This was a cross-sectional, case-control study. Boys with DMD older than 5 years with no prior history of symptomatic fracture and had been on long-term glucocorticoid treatment were recruited from a single tertiary centre. For each participant, three gender- and age-matched controls were selected randomly from an existing HR-pQCT database of healthy individuals. RESULTS Nine boys with DMD at a median age of 9.3 years were included. Three were found to have asymptomatic vertebral compression fracture. The HR-pQCT findings of these nine boys were compared with 27 healthy controls. Trabecular microstructure indices at the distal radius were significantly lower but the cortical vBMD was significantly higher in the DMD boys when compared with healthy controls. CONCLUSION Lower microarchitectural measurement of trabecular bones, but higher cortical vBMD, was observed in DMD boys on long-term oral glucocorticoid. The results from this study provide preliminary, yet important insights into the bone microarchitecture of this group of patients.
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Affiliation(s)
- Joanna Yuet-Ling Tung
- Department of Paediatrics, Hong Kong Children's Hospital, 1 Shing Cheong Road, Kowloon Bay, Kowloon, Hong Kong.
- Department of Paediatrics & Adolescent Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Shatin, Hong Kong.
| | - Tsz-Ping Lam
- SH Ho Scoliosis Research Lab, Joint Scoliosis Research Center of the Chinese University of Hong Kong and Nanjing University, Nanjing, China
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Sophelia Hoi-Shan Chan
- Department of Paediatrics & Adolescent Medicine, Queen Mary Hospital, LKS Faculty of Medicine, The University of Hong Kong, Shatin, Hong Kong
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Devaraja J, Jacques R, Paggiosi M, Clark C, Dimitri P. Impact of Type 1 Diabetes Mellitus on Skeletal Integrity and Strength in Adolescents as Assessed by HRpQCT. JBMR Plus 2020; 4:e10422. [PMID: 33210068 PMCID: PMC7657396 DOI: 10.1002/jbm4.10422] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 09/05/2020] [Accepted: 09/26/2020] [Indexed: 12/16/2022] Open
Abstract
Adults with type 1 diabetes mellitus (T1DM) are at risk of premature osteoporosis and fractures. The onset of T1DM typically starts during childhood and adolescence. Thus, the effects of DM on the skeleton may be established during this period. Studies in children with T1DM primarily use DXA with conflicting results. We present the first study in adolescents assessing the impact of T1DM on skeletal microstructure and strength using HRpQCT. We recruited 22 patients aged 12 to 16 years with T1DM who were matched by age, gender, and pubertal stage with healthy controls. Paired t tests were applied to assess differences in cortical and trabecular microarchitecture measurements from HRpQCT, and skeletal strength from HRpQCT-derived microfinite element analysis. Subtotal body, lumbar, and pelvic parameters were assessed using DXA. There was no significant difference in subtotal body, lumbar spine, and pelvic BMD between T1DM and control pairs. However, tibial trabecular thickness was lower (-0.005 mm; 95% CI, -0.01 to -0.001; p = 0.029) and trabecular loading was lower at the distal radius (ratio of the load taken by the trabecular bone in relation to the total load at the distal end (Tb.F/TF) distal: -6.2; 95% CI, -12.4 to -0.03; p = 0.049), and distal and proximal tibia (Tb.F/TF distal: -5.2, 95% CI, -9.2 to -1.2; p = 0.013; and Tb.F/TF proximal: -5.0, 95% CI, -9.8 to -0.1; p = 0.047) in T1DM patients. A subanalysis of radial data of participants with duration of T1DM of at least 2 years and their matched controls demonstrated a reduced trabecular bone number (-0.15, 95% CI, -0.26 to -0.04; p = 0.012), increased trabecular separation (0.041 mm, 95% CI, 0.009-0.072; p = 0.015), an increased trabecular inhomogeneity (0.018, 95% CI, 0.003-0.034; p = 0.021). Regression models demonstrated a reduction in tibial stiffness (-0.877 kN/mm; p = 0.03) and tibial failure load (-0.044 kN; p = 0.03) with higher HbA1C. Thus, in adolescents with T1DM, detrimental changes are seen in tibial and radial microarchitecture and tibial and radial strength before changes in DXA occur and may result from poor diabetic control. © 2020 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)
- Janani Devaraja
- Department of Paediatric EndocrinologySheffield Children's NHS Foundation TrustSheffieldUK
| | - Richard Jacques
- The School of Health and Related Research, University of SheffieldSheffieldUK
| | | | - Carolyn Clark
- Directorate of Research & Innovation, Sheffield Children's NHS Foundation TrustSheffieldUK
| | - Paul Dimitri
- Department of Paediatric EndocrinologySheffield Children's NHS Foundation TrustSheffieldUK
- Mellanby Centre for Bone ResearchUniversity of SheffieldSheffieldUK
- Sheffield Children's NHS Foundation TrustSheffieldUK
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Fennimore DJ, Digby M, Paggiosi M, Arundel P, Bishop NJ, Dimitri P, Offiah AC. High-resolution peripheral quantitative computed tomography in children with osteogenesis imperfecta. Pediatr Radiol 2020; 50:1781-1787. [PMID: 32613359 PMCID: PMC7604270 DOI: 10.1007/s00247-020-04736-8] [Citation(s) in RCA: 4] [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: 11/13/2019] [Revised: 04/05/2020] [Accepted: 05/22/2020] [Indexed: 10/29/2022]
Abstract
Bone health in children with osteogenesis imperfecta is monitored using radiographs and dual-energy X-ray absorptiometry, which have limitations. High-resolution peripheral quantitative CT can non-invasively derive bone microarchitectural data. Children with severe osteogenesis imperfecta have fragile deformed bones, and positioning for this scan can be difficult. We assessed the feasibility of high-resolution peripheral quantitative CT in nine children aged 9-15 years with osteogenesis imperfecta and compared results with dual-energy X-ray absorptiometry and with healthy controls. All nine recruited children were successfully scanned and showed no preference for either modality. It therefore appears feasible to perform high-resolution peripheral quantitative CT in children with osteogenesis imperfecta aged 9 years and older. Future studies should focus on understanding the clinical implications of the technology in this patient cohort.
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Affiliation(s)
- David J. Fennimore
- grid.11835.3e0000 0004 1936 9262Academic Unit of Child Health, University of Sheffield, Damer Street, Sheffield, S10 2TH UK
| | - Maria Digby
- grid.11835.3e0000 0004 1936 9262Academic Unit of Child Health, University of Sheffield, Damer Street, Sheffield, S10 2TH UK
| | - Margaret Paggiosi
- grid.11835.3e0000 0004 1936 9262The Mellanby Centre for Bone Research, Academic Unit of Bone Metabolism, Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK
| | - Paul Arundel
- grid.419127.80000 0004 0463 9178Sheffield Children’s NHS Foundation Trust, Western Bank, Sheffield, S10 2TH UK
| | - Nick J. Bishop
- grid.11835.3e0000 0004 1936 9262Academic Unit of Child Health, University of Sheffield, Damer Street, Sheffield, S10 2TH UK ,grid.419127.80000 0004 0463 9178Sheffield Children’s NHS Foundation Trust, Western Bank, Sheffield, S10 2TH UK
| | - Paul Dimitri
- grid.11835.3e0000 0004 1936 9262Academic Unit of Child Health, University of Sheffield, Damer Street, Sheffield, S10 2TH UK ,grid.419127.80000 0004 0463 9178Sheffield Children’s NHS Foundation Trust, Western Bank, Sheffield, S10 2TH UK
| | - Amaka C. Offiah
- grid.11835.3e0000 0004 1936 9262Academic Unit of Child Health, University of Sheffield, Damer Street, Sheffield, S10 2TH UK ,grid.419127.80000 0004 0463 9178Sheffield Children’s NHS Foundation Trust, Western Bank, Sheffield, S10 2TH UK
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Mata-Mbemba D, Rohringer T, Ibrahim A, Adams-Webberc T, Moineddin R, Doria AS, Vali R. HR-pQCT imaging in children, adolescents and young adults: Systematic review and subgroup meta-analysis of normative data. PLoS One 2019; 14:e0225663. [PMID: 31834887 PMCID: PMC6910691 DOI: 10.1371/journal.pone.0225663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 11/08/2019] [Indexed: 12/18/2022] Open
Abstract
We aimed to investigate the methodologies on image acquisition of normative data of high-resolution peripheral quantitative computed tomography (HR-pQCT) in children, adolescents and/or young adults (up to 25 years) and to determine their normative data based on available literature. A literature search was conducted in MEDLINE, EMBASE and Web of Science from 1947 to July 2019. Quality of articles was assessed using Standards for Reporting of Diagnostic Accuracy (STARD) scoring system and Modified Newcastle-Ottawa scale (NOS). Articles which fitted the following criteria were combined to meta-analysis: age range (15 to 22.6 years), references at tibia (22.5mm) and/or radius (9.0 to 9.5mm). Eight articles were ultimately included in the systematic review and 4 of them that filled the criteria were summarised in meta-analysis. The results of random effects model of HR-pQCT parameters of the 4 articles were as follows: 1)Radius: bone volume fraction (BT/BV) [estimate 0.17:0.1229(lower)-0.2115 (upper); trabecular number (Tb_N):2.08(2.03–2.12); trabecular thickness (Tb.Th):0.07 (0.07–0.0.08); trabecular separation (Tb.Sp):0.41 (0.38–0.42); cortical thickness (Ct.Th):0.85 (0.76–0.94); cortical porosity (Ct.Po):1.53 (0.63–2.44); total area (Tt.Ar):263.66(-385.3–912.6); total bone density (Tt-vBMD):280.5 (73.1–487.7); Trabecular density (Tb-vBMD):223.6 (47.1–400.09), and cortical density (CT.vBMD):765.9 (389.1–1142.8). 2)Tibia: BT/BV:0.18 (0.17–0.19); Tb_N:2.02 (1.83–2.2); Tb.Th:0.08 (0.80–0.09); Tb.Sp:0.40(0.36–0.44); Ct.Th:1.32(1.26–1.38); Ct.Po:3.15 (1.1–5.2); Tt.Ar:693.1(150.2–1235.8); Tt-vBMD:343.76 (335.5–352.1); Tb-vBMD:223.6 (213.37 (193.5–233.2), and CT.vBMD:894.3 (857.6–931.1). There is overall ‘fair’ evidence on reporting of results of normative data of HR-pQCT parameters in children, adolescents and/or young adults. However, data are scarce pointing out to the urgent need for standardization of acquisition parameters and guidelines on the use of HR-PQCT in these populations.
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Affiliation(s)
- Daddy Mata-Mbemba
- Department of Diagnostic Imaging, IWK Health Centre, and Department of Diagnostic Radiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Diagnostic Imaging, Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Toronto, Canada
- * E-mail:
| | | | - Ala Ibrahim
- Department of Diagnostic Imaging, Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Toronto, Canada
| | | | - Rahim Moineddin
- Departments of Family and Community Medicine (R.M.), University of Toronto, Toronto, Canada
| | - Andrea S. Doria
- Department of Diagnostic Imaging, Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Reza Vali
- Department of Diagnostic Imaging, Hospital for Sick Children and Department of Medical Imaging, University of Toronto, Toronto, Canada
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Diez-Perez A, Brandi ML, Al-Daghri N, Branco JC, Bruyère O, Cavalli L, Cooper C, Cortet B, Dawson-Hughes B, Dimai HP, Gonnelli S, Hadji P, Halbout P, Kaufman JM, Kurth A, Locquet M, Maggi S, Matijevic R, Reginster JY, Rizzoli R, Thierry T. Radiofrequency echographic multi-spectrometry for the in-vivo assessment of bone strength: state of the art-outcomes of an expert consensus meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO). Aging Clin Exp Res 2019; 31:1375-1389. [PMID: 31422565 PMCID: PMC6763416 DOI: 10.1007/s40520-019-01294-4] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 07/24/2019] [Indexed: 01/19/2023]
Abstract
PURPOSE The purpose of this paper was to review the available approaches for bone strength assessment, osteoporosis diagnosis and fracture risk prediction, and to provide insights into radiofrequency echographic multi spectrometry (REMS), a non-ionizing axial skeleton technique. METHODS A working group convened by the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis met to review the current image-based methods for bone strength assessment and fracture risk estimation, and to discuss the clinical perspectives of REMS. RESULTS Areal bone mineral density (BMD) measured by dual-energy X-ray absorptiometry (DXA) is the consolidated indicator for osteoporosis diagnosis and fracture risk assessment. A more reliable fracture risk estimation would actually require an improved assessment of bone strength, integrating also bone quality information. Several different approaches have been proposed, including additional DXA-based parameters, quantitative computed tomography, and quantitative ultrasound. Although each of them showed a somewhat improved clinical performance, none satisfied all the requirements for a widespread routine employment, which was typically hindered by unclear clinical usefulness, radiation doses, limited accessibility, or inapplicability to spine and hip, therefore leaving several clinical needs still unmet. REMS is a clinically available technology for osteoporosis diagnosis and fracture risk assessment through the estimation of BMD on the axial skeleton reference sites. Its automatic processing of unfiltered ultrasound signals provides accurate BMD values in view of fracture risk assessment. CONCLUSIONS New approaches for improved bone strength and fracture risk estimations are needed for a better management of osteoporotic patients. In this context, REMS represents a valuable approach for osteoporosis diagnosis and fracture risk prediction.
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Affiliation(s)
- Adolfo Diez-Perez
- Department of Internal Medicine, Hospital del Mar/IMIM and CIBERFES, Autonomous University of Barcelona, Passeig Maritim 25-29, 08003, Barcelona, Spain.
| | - Maria Luisa Brandi
- FirmoLab Fondazione F.I.R.M.O., Florence, Italy
- Department of Biological, Experimental and Clinical Science, University of Florence, Florence, Italy
| | - Nasser Al-Daghri
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Jaime C Branco
- NOVA Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Olivier Bruyère
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, University of Liège, Liège, Belgium
| | - Loredana Cavalli
- FirmoLab Fondazione F.I.R.M.O., Florence, Italy
- Department of Biological, Experimental and Clinical Science, University of Florence, Florence, Italy
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Bernard Cortet
- Department of Rheumatology and EA 4490, University-Hospital of Lille, Lille, France
| | - Bess Dawson-Hughes
- Bone Metabolism Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Hans Peter Dimai
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Stefano Gonnelli
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Peyman Hadji
- Frankfurter Hormon und Osteoporose Zentrum, Frankfurt, Germany
| | | | - Jean-Marc Kaufman
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Andreas Kurth
- Department of Orthopaedic Surgery and Osteology, Klinikum Frankfurt, Frankfurt, Germany
- Mayor Teaching Hospital, Charite Medical School, Berlin, Germany
| | - Medea Locquet
- Department of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - Stefania Maggi
- National Research Council, Aging Program, Institute of Neuroscience, Padua, Italy
| | - Radmila Matijevic
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
- Clinical Center of Vojvodina, Clinic for Orthopedic Surgery, Novi Sad, Serbia
| | - Jean-Yves Reginster
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
- WHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, University of Liège, Liège, Belgium
| | - René Rizzoli
- Service of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Thomas Thierry
- Department of Rheumatology, Hospital Nord, CHU St Etienne, St Etienne, France
- INSERM 1059, University of Lyon, St Etienne, France
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9
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Peña-Solórzano CA, Albrecht DW, Paganin DM, Harris PC, Hall CJ, Bassed RB, Dimmock MR. Development of a simple numerical model for trabecular bone structures. Med Phys 2019; 46:1766-1776. [PMID: 30740701 DOI: 10.1002/mp.13435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 01/18/2019] [Accepted: 02/01/2019] [Indexed: 12/26/2022] Open
Abstract
PURPOSE Advances in additive manufacturing processes are enabling the fabrication of surrogate bone structures for applications including use in high-resolution anthropomorphic phantoms. In this research, a simple numerical model is proposed that enables the generation of microarchitecture with similar statistical distribution to trabecular bone. METHODS A human humerus, radius, ulna, and several vertebrae were scanned on the Imaging and Medical beamline at the Australian Synchrotron and the proposed numerical model was developed through the definition of two complex functions that encode the trabecular thickness and position-dependant spacing to generate volumetric surrogate trabecular structures. The structures reproduced those observed at 19 separate axial locations through the experimental bone volumes. The applicability of the model when incorporating a two-material approximation to absorption- and phase-contrast CT was also investigated through simulation. RESULTS The synthetic structures, when compared with the real trabecular microarchitecture, yielded an average mean thickness error of 2 μm, and a mean difference in standard deviation of 33 μm for the humerus, 24 μm for the ulna and radius, and 15 μm for the vertebrae. Simulated absorption- and propagation-based phase contrast CT projection data were generated and reconstructed using the derived mathematical simplifications from the two-material approximation, and the phase-contrast effects were successfully demonstrated. CONCLUSIONS The presented model reproduced trabecular distributions that could be used to generate phantoms for quality assurance and validation processes. The implication of utilizing a two-material approximation results in simplification of the additive manufacturing process and the generation of synthetic data that could be used for training of machine learning applications.
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Affiliation(s)
- Carlos A Peña-Solórzano
- Department of Medical Imaging and Radiation Sciences, Monash University, Melbourne, Vic., 3800, Australia
| | - David W Albrecht
- Faculty of Information Technology, Monash University, Melbourne, Vic., 3800, Australia
| | - David M Paganin
- School of Physics and Astronomy, Monash University, Melbourne, Vic., 3800, Australia
| | - Peter C Harris
- Department of Orthopaedic Surgery, Western Health, Footscray Hospital, Melbourne, Vic., 3011, Australia.,The Royal Children's Hospital Melbourne, Melbourne, Vic., 3052, Australia
| | - Chris J Hall
- Imaging and Medical Beam Line, ANSTO Australian Synchrotron, Melbourne, Vic., 3168, Australia
| | - Richard B Bassed
- Victorian Institute of Forensic Medicine, Melbourne, Vic., 3006, Australia.,Department of Forensic Medicine, Monash University, Melbourne, Vic., 3800, Australia
| | - Matthew R Dimmock
- Department of Medical Imaging and Radiation Sciences, Monash University, Melbourne, Vic., 3800, Australia
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Diagnosis of osteoporotic vertebral fractures in children. Pediatr Radiol 2019; 49:283-296. [PMID: 30421000 PMCID: PMC6394483 DOI: 10.1007/s00247-018-4279-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 09/03/2018] [Accepted: 10/05/2018] [Indexed: 12/11/2022]
Abstract
Osteoporosis is a generalised disorder of the skeleton with reduced bone density and abnormal bone architecture. It increases bone fragility and renders the individual susceptible to fractures. Fractures of the vertebrae are common osteoporotic fractures. Vertebral fractures may result in scoliosis or kyphosis and, because they may be clinically silent, it is imperative that vertebral fractures are diagnosed in children accurately and at an early stage, so the necessary medical care can be implemented. Traditionally, diagnosis of osteoporotic vertebral fractures has been from lateral spine radiographs; however, a small number of studies have shown that dual energy x-ray absorptiometry is comparable to radiographs for identifying vertebral fractures in children, while allowing reduced radiation exposure. The diagnosis of vertebral fractures from dual energy x-ray absorptiometry is termed vertebral fracture assessment. Existing scoring systems for vertebral fracture assessment in adults have been assessed for use in children, but there is no standardisation and observer reliability is variable. This literature review suggests the need for a semiautomated tool that (compared to the subjective and semiquantitative methods available) will allow more reliable and precise detection of vertebral fractures in children.
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