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Goel H, Binkley N, Boggild M, Chan WP, Leslie WD, McCloskey E, Morgan SL, Silva BC, Cheung AM. Clinical Use of Trabecular Bone Score: The 2023 ISCD Official Positions. J Clin Densitom 2024; 27:101452. [PMID: 38228014 DOI: 10.1016/j.jocd.2023.101452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Osteoporosis can currently be diagnosed by applying the WHO classification to bone mineral density (BMD) assessed by dual-energy x-ray absorptiometry (DXA). However, skeletal factors other than BMD contribute to bone strength and fracture risk. Lumbar spine TBS, a grey-level texture measure which is derived from DXA images has been extensively studied, enhances fracture prediction independent of BMD and can be used to adjust fracture probability from FRAX® to improve risk stratification. The purpose of this International Society for Clinical Densitometry task force was to review the existing evidence and develop recommendations to assist clinicians regarding when and how to perform, report and utilize TBS. Our review concluded that TBS is most likely to alter clinical management in patients aged ≥ 40 years who are close to the pharmacologic intervention threshold by FRAX. The TBS value from L1-L4 vertebral levels, without vertebral exclusions, should be used to calculate adjusted FRAX probabilities. L1-L4 vertebral levels can be used in the presence of degenerative changes and lumbar compression fractures. It is recommended not to report TBS if extreme structural or pathological artifacts are present. Monitoring and reporting TBS change is unlikely to be helpful with the current version of the TBS algorithm. The next version of TBS software will include an adjustment based upon directly measured tissue thickness. This is expected to improve performance and address some of the technical factors that affect the current algorithm which may require modifications to these Official Positions as experience is acquired with this new algorithm.
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Affiliation(s)
| | - Neil Binkley
- University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Miranda Boggild
- University of Toronto, Department of Medicine, Toronto, Canada
| | - Wing P Chan
- Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; and Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - William D Leslie
- Department of Internal Medicine, University of Manitoba, Winnipeg, Canada
| | - Eugene McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - Sarah L Morgan
- University of Alabama at Birmingham, Osteoporosis Prevention and Treatment Clinic and DXA Facility, Birmingham, AL, United States
| | - Barbara C Silva
- Medical School, Centro Universitario de Belo Horizonte (UniBH), MG, Brazil Bone Metabolic diseases Unit, Santa Casa Hospital, Belo Horizonte, MG, Brazil Clinic of Endocrinology, Felicio Rocho Hospital, Belo Horizonte, MG, Brazil
| | - Angela M Cheung
- Centre of Excellence in Skeletal Health Assessment, University of Toronto, Toronto, Ontario, Canada; Osteoporosis Program, University Health Network and Sinai Health System, Toronto, Ontario, Canada
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Leslie WD, Goel H, Binkley N, McCloskey EV, Hans D. Contributions of Clinical and Technical Factors to Longitudinal Change in Trabecular Bone Score and Bone Density: A Registry-Based Individual-Level Analysis. J Bone Miner Res 2023; 38:512-521. [PMID: 36655775 DOI: 10.1002/jbmr.4774] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/03/2023] [Accepted: 01/15/2023] [Indexed: 01/20/2023]
Abstract
Lumbar spine trabecular bone score (TBS), a gray-level texture measure derived from spine dual-energy X-ray absorptiometry (DXA) images, is a bone mineral density (BMD)-independent risk factor for fracture. An unresolved question is whether TBS is sufficiently responsive to change over time or in response to widely used osteoporosis therapy at the individual level to serve as a useful biomarker. Using the Manitoba DXA Registry, we identified 11,643 individuals age 40 years and older with two fan-beam DXA scans performed on the same instrument within 5 years (mean interval 3.2 years), of whom 6985 (60.0%) received antiresorptive osteoporosis medication (majority oral bisphosphonate) between the scans. We examined factors that were associated with a change in lumbar spine TBS, lumbar spine BMD, and total hip BMD exceeding the 95% least significant change (LSC). Change exceeding the LSC was identified in 23.0% (9.3% increase, 13.8% decrease) of lumbar spine TBS, 38.2% (22.1% increase, 16.1% decrease) lumbar spine BMD, and 42.5% (17.6% increase, 24.9% decrease) total hip BMD measurement pairs. From regression models, the variables most strongly associated with significant change in TBS (decreasing order) were tissue thickness change, acquisition mode change, weight change, and spine percent fat change. Consistent with the insensitivity of TBS to oral antiresorptive therapies, use of these agents showed very little effect on TBS change. In contrast, for both spine BMD change and total hip BMD change, osteoporosis medication use was the most significant variable, whereas tissue thickness change, acquisition mode change, and weight change had relatively weak effects. In summary, change in spine TBS using the present algorithm appears to be strongly affected by technical factors. This suggests a limited role, if any, for using TBS change in untreated individuals or for monitoring response to antiresorptive treatment in routine clinical practice with the current version of the TBS algorithm. © 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)
- William D Leslie
- Department of Internal Medicine, University of Manitoba, Winnipeg, Canada
| | | | - Neil Binkley
- University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Eugene V McCloskey
- Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK
| | - Didier Hans
- Bone and Joint Department, Lausanne University Hospital, Lausanne, Switzerland
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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: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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Abstract
PURPOSE OF REVIEW Trabecular bone score (TBS) is a lumbar spine dual-energy absorptiometry texture index which provides information on skeletal quality partially independent of bone mineral density (BMD). A body of work has emerged demonstrating the relationship between TBS and fracture risk, with lower TBS values associated with increased risk for osteoporotic fracture in postmenopausal women and older men. TBS is derived from standard DXA images; however, the information provided by TBS is complementary to that provided by BMD. In this article, we review the current state of TBS and its evolving role in the assessment and management of osteoporosis, with particular emphasis on the literature of the previous year. RECENT FINDINGS TBS-adjusted The Fracture Risk Assessment tool (FRAX) probabilities enhance fracture risk prediction compared with conventional FRAX predictions. TBS has been found to better categorize fracture risk and assists in FRAX-based treatment decisions, particularly for patients close to an intervention threshold. However, change in lumbar spine TBS while undergoing antiresorptive treatment is not a useful indicator of antifracture effect. SUMMARY Lumbar spine TBS is a recently developed image-based software technique for skeletal assessment, complementary to conventional BMD, which has been shown to be clinically useful as a fracture risk prediction tool.
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Affiliation(s)
- Patrick Martineau
- aUniversity of Ottawa, Ottawa, Ontario, Canada bUNI-BH, Santa Casa Hospital, Belo Horizonte, Brazil cUniversity of Manitoba, Winnipeg, Manitoba, Canada
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Affiliation(s)
- Shane Thurlow
- Bone & Body Composition Research Group, Carnegie Faculty, Leeds Beckett University, Headingley Campus, Leeds LS6 3QS, UK
| | - Brian Oldroyd
- Bone & Body Composition Research Group, Carnegie Faculty, Leeds Beckett University, Headingley Campus, Leeds LS6 3QS, UK
| | - Karen Hind
- Bone & Body Composition Research Group, Carnegie Faculty, Leeds Beckett University, Headingley Campus, Leeds LS6 3QS, UK
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Abstract
Trabecular bone score (TBS) is a novel method that assesses skeletal texture from spine dual-energy X-ray absorptiometry (DXA) images. TBS improves fracture-risk prediction beyond that provided by DXA bone mineral density (BMD) and clinical risk factors, and can be incorporated to the Word Health Organization Fracture Risk Assessment tool (FRAX®) to enhance fracture prediction. There is insufficient evidence that TBS can be used to monitor treatment with bisphosphonates. TBS may be particularly helpful to assess fracture risk in diabetes. This article reviews technical and clinical aspects of TBS and its potential utility as a clinical tool to predict fracture risk.
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Affiliation(s)
- Barbara C Silva
- Department of Medicine, UNI-BH, Santa Casa Hospital, Uberaba, 370/705, Belo Horizonte, MG 30180-010, Brazil.
| | - William D Leslie
- Department of Medicine, University of Manitoba, (C5121) 409 Tache Avenue, Winnipeg, MB R2H 2A6, Canada
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