HR‐pQCT Measures of Bone Microarchitecture Predict Fracture: Systematic Review and Meta‐Analysis
暂无分享,去创建一个
Andrew J Burghardt | Bert van Rietbergen | Nick Bishop | Bettina M Willie | Svetlana V Komarova | Amaka C Offiah | Nicholas Mikolajewicz | F. Glorieux | B. van Rietbergen | A. Offiah | S. Komarova | N. Bishop | A. Burghardt | K. Kozloff | L. Folkestad | S. Morin | B. Willie | Lars Folkestad | Anthony Hall | Kenneth M Kozloff | Pauline T Lukey | Michael Molloy-Bland | Suzanne N Morin | Jay Shapiro | Kim Wager | Francis H Glorieux | J. Shapiro | A. Hall | P. Lukey | Nicholas Mikolajewicz | M. Molloy-Bland | N. Mikolajewicz | K. Wager
[1] R. Rizzoli,et al. Evaluation of Radius Microstructure and Areal Bone Mineral Density Improves Fracture Prediction in Postmenopausal Women , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[2] Ego Seeman,et al. Cortical Porosity Identifies Women With Osteopenia at Increased Risk for Forearm Fractures , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[3] S. Majumdar,et al. Operator variability in scan positioning is a major component of HR-pQCT precision error and is reduced by standardized training , 2016, Osteoporosis International.
[4] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2009, Journal of clinical epidemiology.
[5] M. Bouxsein,et al. Trabecular and Cortical Microstructure and Fragility of the Distal Radius in Women , 2015, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[6] David D. McErlain,et al. Distal skeletal tibia assessed by HR-pQCT is highly correlated with femoral and lumbar vertebra failure loads. , 2017, Journal of biomechanics.
[7] L. Hedges,et al. Introduction to Meta‐Analysis , 2009, International Coaching Psychology Review.
[8] S. Boyd,et al. Lower Bone Density, Impaired Microarchitecture, and Strength Predict Future Fragility Fracture in Postmenopausal Women: 5‐Year Follow‐up of the Calgary CaMos Cohort , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[9] Thomas Baum,et al. Increased cortical porosity in type 2 diabetic postmenopausal women with fragility fractures , 2013, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[10] E. Shane,et al. Bone mass and microarchitecture in CKD patients with fracture. , 2010, Journal of the American Society of Nephrology : JASN.
[11] L. Qin,et al. Value of Measuring Bone Microarchitecture in Fracture Discrimination in Older Women with Recent Hip Fracture: A Case-control Study with HR-pQCT , 2016, Scientific Reports.
[12] E. Vicaut,et al. A case-control study of fractures in men with idiopathic osteoporosis: fractures are associated with older age and low cortical bone density. , 2013, Bone.
[13] S. Jamal,et al. Bone mineral density by DXA and HR pQCT can discriminate fracture status in men and women with stages 3 to 5 chronic kidney disease , 2012, Osteoporosis International.
[14] Bert Van Rietbergen,et al. Finite Element Analysis Based on In Vivo HR‐pQCT Images of the Distal Radius Is Associated With Wrist Fracture in Postmenopausal Women , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[15] T Greco,et al. Review Article , 2022 .
[16] J. Patsch,et al. Cortical porosity not superior to conventional densitometry in identifying hemodialysis patients with fragility fracture , 2017, PloS one.
[17] J. Hopper,et al. Fracture risk and height: An association partly accounted for by cortical porosity of relatively thinner cortices , 2013, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[18] Dieter H. Pahr,et al. Validation of an HR-pQCT-based homogenized finite element approach using mechanical testing of ultra-distal radius sections , 2011, Biomechanics and modeling in mechanobiology.
[19] J. Gram,et al. Bone geometry, density, and microarchitecture in the distal radius and tibia in adults with osteogenesis imperfecta type I assessed by high‐resolution pQCT , 2012, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[20] D. Moher,et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement , 2009, BMJ : British Medical Journal.
[21] Nicholas Mikolajewicz,et al. Meta-Analytic Methodology for Basic Research: A Practical Guide , 2019, Front. Physiol..
[22] J. Johnston,et al. In vivo precision of three HR-pQCT-derived finite element models of the distal radius and tibia in postmenopausal women , 2016, BMC Musculoskeletal Disorders.
[23] R. Chapurlat,et al. Prediction of Fractures in Men Using Bone Microarchitectural Parameters Assessed by High‐Resolution Peripheral Quantitative Computed Tomography—The Prospective STRAMBO Study , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[24] Sharmila Majumdar,et al. Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. , 2010, Bone.
[25] D. Mellström,et al. Bone microarchitecture in ankylosing spondylitis and the association with bone mineral density, fractures, and syndesmophytes , 2013, Arthritis Research & Therapy.
[26] Bone Microarchitecture Assessment by High-Resolution Peripheral Quantitative Computed Tomography in Patients with Systemic Lupus Erythematosus Taking Corticosteroids , 2010, The Journal of Rheumatology.
[27] Kathryn E Ackerman,et al. Fractures in Relation to Menstrual Status and Bone Parameters in Young Athletes. , 2015, Medicine and science in sports and exercise.
[28] S. Mundlos,et al. Comparison of Bone Microarchitecture Between Adult Osteogenesis Imperfecta and Early-Onset Osteoporosis , 2018, Calcified Tissue International.
[29] R. Pereira,et al. Cortical bone density and thickness alterations by high-resolution peripheral quantitative computed tomography: association with vertebral fractures in primary Sjögren's syndrome. , 2016, Rheumatology.
[30] G. Rücker,et al. Small-Study Effects in Meta-Analysis , 2015 .
[31] D. Hans,et al. Bone structure assessed by HR-pQCT, TBS and DXL in adult patients with different types of osteogenesis imperfecta , 2015, Osteoporosis International.
[32] E. Shane,et al. Clinical Imaging of Bone Microarchitecture with HR-pQCT , 2013, Current Osteoporosis Reports.
[33] M. Bouxsein,et al. In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. , 2005, The Journal of clinical endocrinology and metabolism.
[34] Steven K Boyd,et al. Improved reproducibility of high-resolution peripheral quantitative computed tomography for measurement of bone quality. , 2008, Medical engineering & physics.
[35] H. Genant,et al. Short-term in vivo precision of BMD and parameters of trabecular architecture at the distal forearm and tibia , 2012, Osteoporosis International.
[36] J. Johnston,et al. Least significant changes and monitoring time intervals for high-resolution pQCT-derived bone outcomes in postmenopausal women , 2015, Journal of musculoskeletal & neuronal interactions.
[37] S. Jamal,et al. Bone Mineral Density Predicts Fractures in Chronic Kidney Disease , 2015, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[38] W. Kalender,et al. A phantom for standardization and quality control in peripheral bone measurements by PQCT and DXA , 1993 .
[39] Sarah L Manske,et al. Human trabecular bone microarchitecture can be assessed independently of density with second generation HR-pQCT. , 2015, Bone.
[40] E. Vettorazzi,et al. Accuracy of trabecular structure by HR-pQCT compared to gold standard μCT in the radius and tibia of patients with osteoporosis and long-term bisphosphonate therapy , 2014, Osteoporosis International.
[41] J. Johnston,et al. Precision of bone density and micro-architectural properties at the distal radius and tibia in children: an HR-pQCT study , 2017, Osteoporosis International.
[42] Richard Eastell,et al. Precision of High-Resolution Peripheral Quantitative Computed Tomography Measurement Variables: Influence of Gender, Examination Site, and Age , 2013, Calcified Tissue International.
[43] R. Rizzoli,et al. Fractures during childhood and adolescence in healthy boys: relation with bone mass, microstructure, and strength. , 2011, The Journal of clinical endocrinology and metabolism.
[44] E. Seeman,et al. A new method of segmentation of compact-appearing, transitional and trabecular compartments and quantification of cortical porosity from high resolution peripheral quantitative computed tomographic images. , 2013, Bone.
[45] I. J. P. Howard. Meta-Analysis withR , 2015 .
[46] F. Eckstein,et al. Estimation of distal radius failure load with micro-finite element analysis models based on three-dimensional peripheral quantitative computed tomography images. , 2002, Bone.
[47] R. Müller,et al. Bone Strength and Structural Deficits in Children and Adolescents With a Distal Forearm Fracture Resulting From Mild Trauma , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[48] Sarah L Manske,et al. Harmonizing finite element modelling for non-invasive strength estimation by high-resolution peripheral quantitative computed tomography. , 2018, Journal of biomechanics.
[49] H. McKay,et al. Deficits in distal radius bone strength, density and microstructure are associated with forearm fractures in girls: an HR-pQCT study , 2015, Osteoporosis International.
[50] E. Barrett-Connor,et al. Bone mineral density thresholds for pharmacological intervention to prevent fractures. , 2004, Archives of internal medicine.
[51] B. van Rietbergen,et al. A survey of micro-finite element analysis for clinical assessment of bone strength: the first decade. , 2015, Journal of biomechanics.
[52] R. Chapurlat,et al. Bone Microarchitecture Assessed by HR‐pQCT as Predictor of Fracture Risk in Postmenopausal Women: The OFELY Study , 2017, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[53] Gillian L. Currie,et al. Meta-analysis of data from animal studies: A practical guide , 2014, Journal of Neuroscience Methods.
[54] M. Jergas,et al. Accurate assessment of precision errors: How to measure the reproducibility of bone densitometry techniques , 2005, Osteoporosis International.
[55] Ralph Müller,et al. Guidelines for assessment of bone microstructure in rodents using micro–computed tomography , 2010, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[56] Bert Van Rietbergen,et al. Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study. , 2019, The lancet. Diabetes & endocrinology.
[57] Sharmila Majumdar,et al. Effects of Odanacatib on the Radius and Tibia of Postmenopausal Women: Improvements in Bone Geometry, Microarchitecture, and Estimated Bone Strength , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[58] Paul D. Miller,et al. Bone Mineral Density Thresholds for Pharmacological Intervention to Prevent Fractures , 2004 .
[59] A. El Maghraoui,et al. Monitoring of dual-energy X-ray absorptiometry measurement in clinical practice. , 2006, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.
[60] L. Melton,et al. A reference standard for the description of osteoporosis. , 2008, Bone.
[61] C. Krestan,et al. Bone microarchitecture in hemodialysis patients assessed by HR-pQCT. , 2011, Clinical journal of the American Society of Nephrology : CJASN.
[62] J. Johnston,et al. Comparison of short-term in vivo precision of bone density and microarchitecture at the distal radius and tibia between postmenopausal women and young adults. , 2014, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.
[63] K. Ensrud,et al. Association of High-resolution Peripheral Quantitative Computed Tomography (HR-pQCT) bone microarchitectural parameters with previous clinical fracture in older men: The Osteoporotic Fractures in Men (MrOS) study. , 2018, Bone.
[64] M. Osaki,et al. Precision of Second-Generation High-Resolution Peripheral Quantitative Computed Tomography: Intra- and Intertester Reproducibilities and Factors Involved in the Reproducibility of Cortical Porosity. , 2017, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.
[65] N. Watts,et al. Effect of precision error on T-scores and the diagnostic classification of bone status. , 2007, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.
[66] E. Bonfá,et al. Bone impairment assessed by HR-pQCT in juvenile-onset systemic lupus erythematosus , 2016, Osteoporosis International.
[67] G. Blake,et al. How Important Are BMD Accuracy Errors for the Clinical Interpretation of DXA Scans? , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[68] S. Majumdar,et al. The comparability of HR-pQCT bone measurements is improved by scanning anatomically standardized regions , 2017, Osteoporosis International.
[69] A.K.O. Wong,et al. A comparison of peripheral imaging technologies for bone and muscle quantification: a technical review of image acquisition , 2016, Journal of musculoskeletal & neuronal interactions.
[70] B. van Rietbergen,et al. Challenges in longitudinal measurements with HR-pQCT: evaluation of a 3D registration method to improve bone microarchitecture and strength measurement reproducibility. , 2014, Bone.
[71] P. Rüegsegger,et al. In vivo high resolution 3D-QCT of the human forearm. , 1998, Technology and health care : official journal of the European Society for Engineering and Medicine.
[72] X. Guo,et al. Deterioration of trabecular plate-rod and cortical microarchitecture and reduced bone stiffness at distal radius and tibia in postmenopausal women with vertebral fractures. , 2016, Bone.