Cortical and trabecular bone microarchitecture predicts incident fracture independently of DXA bone mineral density and FRAX in older women and men: The Bone Microarchitecture International Consortium (BoMIC)
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[1] 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.
[2] 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.
[3] J. Cauley,et al. Volumetric Bone Mineral Density and Failure Load of Distal Limbs Predict Incident Clinical Fracture Independent of FRAX and Clinical Risk Factors Among Older Men , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[4] 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.
[5] 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.
[6] D. Kiel,et al. Diabetes and Deficits in Cortical Bone Density, Microarchitecture, and Bone Size: Framingham HR‐pQCT Study , 2018, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[7] E. Lespessailles,et al. The QUALYOR (QUalité Osseuse LYon Orléans) study: a new cohort for non invasive evaluation of bone quality in postmenopausal osteoporosis. Rationale and study design , 2018, Archives of Osteoporosis.
[8] J. Kanis,et al. Clinical Utility of Using Lumbar Spine Trabecular Bone Score to Adjust Fracture Probability: The Manitoba BMD Cohort , 2017, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[9] 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.
[10] P. Adamczyk,et al. Diagnostic accuracy of FRAX in predicting the 10-year risk of osteoporotic fractures using the USA treatment thresholds: A systematic review and meta-analysis. , 2017, Bone.
[11] D. Mellström,et al. Increased cortical porosity in women with hip fracture , 2017, Journal of internal medicine.
[12] D. Mellström,et al. Cortical Bone Area Predicts Incident Fractures Independently of Areal Bone Mineral Density in Older Men , 2016, The Journal of clinical endocrinology and metabolism.
[13] R. Rizzoli,et al. Within- and Across-Sex Inheritance of Bone Microarchitecture , 2016, The Journal of clinical endocrinology and metabolism.
[14] S. Khosla,et al. A Crisis in the Treatment of Osteoporosis , 2016, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[15] S. Majumdar,et al. Microarchitecture and Peripheral BMD are Impaired in Postmenopausal White Women With Fracture Independently of Total Hip T‐Score: An International Multicenter Study , 2016, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[16] R. Rizzoli,et al. Prior ankle fractures in postmenopausal women are associated with low areal bone mineral density and bone microstructure alterations , 2015, Osteoporosis International.
[17] 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.
[18] Steven K Boyd,et al. A comparison of methods for in vivo assessment of cortical porosity in the human appendicular skeleton. , 2015, Bone.
[19] 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.
[20] X. Guo,et al. Skeletal Structure in Postmenopausal Women With Osteopenia and Fractures Is Characterized by Abnormal Trabecular Plates and Cortical Thinning , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[21] 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.
[22] H. Macdonald,et al. Women with previous fragility fractures can be classified based on bone microarchitecture and finite element analysis measured with HR-pQCT , 2013, Osteoporosis International.
[23] S. Khosla,et al. Sex- and Age-Related Differences in Bone Microarchitecture in Men Relative to Women Assessed by High-Resolution Peripheral Quantitative Computed Tomography , 2012, Journal of osteoporosis.
[24] JB. Pialat,et al. Visual grading of motion induced image degradation in high resolution peripheral computed tomography: impact of image quality on measures of bone density and micro-architecture. , 2012, Bone.
[25] P. Delmas,et al. Cross‐sectional analysis of the association between fragility fractures and bone microarchitecture in older men: The STRAMBO study , 2011, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[26] P. Delmas,et al. Association between bone turnover rate and bone microarchitecture in men: The STRAMBO study , 2010, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[27] H. Genant,et al. Does standardized BMD still remove differences between Hologic and GE-Lunar state-of-the-art DXA systems? , 2009, Osteoporosis International.
[28] Eugene McCloskey,et al. FRAX and its applications to clinical practice. , 2009, Bone.
[29] Steven K Boyd,et al. Automatic segmentation of cortical and trabecular compartments based on a dual threshold technique for in vivo micro-CT bone analysis. , 2007, Bone.
[30] P. Delmas,et al. Alterations of Cortical and Trabecular Architecture Are Associated With Fractures in Postmenopausal Women, Partially Independent of Decreased BMD Measured by DXA: The OFELY Study , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[31] A. Tosteson,et al. Incidence and Economic Burden of Osteoporosis‐Related Fractures in the United States, 2005–2025 , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[32] O. Johnell,et al. Free Testosterone is an Independent Predictor of BMD and Prevalent Fractures in Elderly Men: MrOS Sweden , 2006, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[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] 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.
[35] F. Harrell,et al. Regression modelling strategies for improved prognostic prediction. , 1984, Statistics in medicine.