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03.01.2020 | Position Paper

Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk

verfasst von: M. L. Bouxsein, P. Zysset, C. C. Glüer, M. McClung, E. Biver, D.D. Pierroz, S. L. Ferrari, on behalf of the IOF Working Group on Hip Bone Strength as a Therapeutic Target

Erschienen in: Osteoporosis International | Ausgabe 3/2020

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Abstract

Summary

We reviewed the experimental and clinical evidence that hip bone strength estimated by BMD and/or finite element analysis (FEA) reflects the actual strength of the proximal femur and is associated with hip fracture risk and its changes upon treatment.

Introduction

The risk of hip fractures increases exponentially with age due to a progressive loss of bone mass, deterioration of bone structure, and increased incidence of falls. Areal bone mineral density (aBMD), measured by dual-energy X-ray absorptiometry (DXA), is the most used surrogate marker of bone strength. However, age-related declines in bone strength exceed those of aBMD, and the majority of fractures occur in those who are not identified as osteoporotic by BMD testing. With hip fracture incidence increasing worldwide, the development of accurate methods to estimate bone strength in vivo would be very useful to predict the risk of hip fracture and to monitor the effects of osteoporosis therapies.

Methods

We reviewed experimental and clinical evidence regarding the association between aBMD and/orCT-finite element analysis (FEA) estimated femoral strength and hip fracture risk as well as their changes with treatment.

Results

Femoral aBMD and bone strength estimates by CT-FEA explain a large proportion of femoral strength ex vivo and predict hip fracture risk in vivo. Changes in femoral aBMD are strongly associated with anti-fracture efficacy of osteoporosis treatments, though comparable data for FEA are currently not available.

Conclusions

Hip aBMD and estimated femoral strength are good predictors of fracture risk and could potentially be used as surrogate endpoints for fracture in clinical trials. Further improvements of FEA may be achieved by incorporating trabecular orientations, enhanced cortical modeling, effects of aging on bone tissue ductility, and multiple sideway fall loading conditions.

Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17:1726–1733CrossRefPubMed

Gullberg B, Johnell O, Kanis JA (1997) World-wide projections for hip fracture. Osteoporos Int 7:407–413CrossRefPubMed

Cooper C, Campion G, Melton LJ 3rd (1992) Hip fractures in the elderly: a world-wide projection. Osteoporos Int 2:285–289CrossRefPubMed

Hernlund E, Svedbom A, Ivergard M, Compston J, Cooper C, Stenmark J, McCloskey EV, Jonsson B, Kanis JA (2013) Osteoporosis in the European Union: medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA). Arch Osteoporos 8:136CrossRefPubMedPubMedCentral

Cummings SR, Black DM, Rubin SM (1989) Lifetime risks of hip, Colles', or vertebral fracture and coronary heart disease among white postmenopausal women. Arch Intern Med 149:2445–2448CrossRefPubMed

Kanis JA, Johnell O, Oden A, Sembo I, Redlund-Johnell I, Dawson A, De Laet C, Jonsson B (2000) Long-term risk of osteoporotic fracture in Malmo. Osteoporos Int 11:669–674CrossRefPubMed

Melton LJ 3rd, Chrischilles EA, Cooper C, Lane AW, Riggs BL (1992) Perspective. How many women have osteoporosis? J Bone Miner Res 7:1005–1010CrossRefPubMed

van Staa TP, Dennison EM, Leufkens HG, Cooper C (2001) Epidemiology of fractures in England and Wales. Bone 29:517–522CrossRefPubMed

Ryg J, Rejnmark L, Overgaard S, Brixen K, Vestergaard P (2009) Hip fracture patients at risk of second hip fracture: a nationwide population-based cohort study of 169,145 cases during 1977-2001. J Bone Miner Res 24:1299–1307CrossRefPubMed

10.

Bynum JPW, Bell JE, Cantu RV, Wang Q, McDonough CM, Carmichael D, Tosteson TD, Tosteson ANA (2016) Second fractures among older adults in the year following hip, shoulder, or wrist fracture. Osteoporos Int 27:2207–2215CrossRefPubMedPubMedCentral

11.

Kanis JA, Johansson H, Oden A et al (2018) Characteristics of recurrent fractures. Osteoporos Int 29:1747–1757CrossRefPubMedPubMedCentral

12.

Shah A, Prieto-Alhambra D, Hawley S, Delmestri A, Lippett J, Cooper C, Judge A, Javaid MK, team REs (2017) Geographic variation in secondary fracture prevention after a hip fracture during 1999-2013: a UK study. Osteoporos Int 28:169–178CrossRefPubMed

13.

Yusuf AA, Matlon TJ, Grauer A, Barron R, Chandler D, Peng Y (2016) Utilization of osteoporosis medication after a fragility fracture among elderly Medicare beneficiaries. Arch Osteoporos 11:31CrossRefPubMed

14.

Akesson K, Marsh D, Mitchell PJ, AR ML, Stenmark J, Pierroz DD, Kyer C, Cooper C, Group IOFFW (2013) Capture the Fracture: a Best Practice Framework and global campaign to break the fragility fracture cycle. Osteoporos Int 24:2135–2152CrossRefPubMedPubMedCentral

15.

Javaid MK, Kyer C, Mitchell PJ et al (2015) Effective secondary fracture prevention: implementation of a global benchmarking of clinical quality using the IOF Capture the Fracture(R) Best Practice Framework tool. Osteoporos Int 26:2573–2578CrossRefPubMed

16.

Marsh D, Akesson K, Beaton DE et al (2011) Coordinator-based systems for secondary prevention in fragility fracture patients. Osteoporos Int 22:2051–2065CrossRefPubMed

17.

Marshall D, Johnell O, Wedel H (1996) Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 312:1254–1259CrossRefPubMedPubMedCentral

18.

Johannesdottir F, Aspelund T, Reeve J, Poole KE, Sigurdsson S, Harris TB, Gudnason VG, Sigurdsson G (2013) Similarities and differences between sexes in regional loss of cortical and trabecular bone in the mid-femoral neck: the AGES-Reykjavik longitudinal study. J Bone Miner Res 28:2165–2176CrossRefPubMed

19.

Zebaze RM, Ghasem-Zadeh A, Bohte A, Iuliano-Burns S, Mirams M, Price RI, Mackie EJ, Seeman E (2010) Intracortical remodelling and porosity in the distal radius and post-mortem femurs of women: a cross-sectional study. Lancet 375:1729–1736CrossRefPubMed

20.

Keaveny TM, Kopperdahl DL, Melton LJ 3rd, Hoffmann PF, Amin S, Riggs BL, Khosla S (2010) Age-dependence of femoral strength in white women and men. J Bone Miner Res 25:994–1001CrossRefPubMed

21.

Austin M, Yang YC, Vittinghoff E et al (2012) Relationship between bone mineral density changes with denosumab treatment and risk reduction for vertebral and nonvertebral fractures. J Bone Miner Res 27:687–693CrossRefPubMed

22.

Black DM (2018) Change in BMD as a Surrogate for Fracture Risk Reduction in Osteoporosis Trials: Results from Pooled, Individual-level Patient Data from the FNIH Bone Quality Project Available at http://www.asbmrorg/ItineraryBuilder/PresentationDetailaspx?pid=6f3d7ce1-cd5b-41f0-862b-42733a02c150&ptag=AuthorDetail&aid=00000000-0000-0000-0000-000000000000 Accessed December 4, 2018

23.

Bouxsein ML, Eastell R, Lui LY et al (2019) Change in Bone Density and Reduction in Fracture Risk: A Meta-Regression of Published Trials. J Bone Miner Res 34:632–642CrossRefPubMed

24.

Lochmuller EM, Zeller JB, Kaiser D, Eckstein F, Landgraf J, Putz R, Steldinger R (1998) Correlation of femoral and lumbar DXA and calcaneal ultrasound, measured in situ with intact soft tissues, with the in vitro failure loads of the proximal femur. Osteoporos Int 8:591–598CrossRefPubMed

25.

Johannesdottir F, Thrall E, Muller J, Keaveny TM, Kopperdahl DL, Bouxsein ML (2017) Comparison of non-invasive assessments of strength of the proximal femur. Bone 105:93–102CrossRefPubMed

26.

Beck TJ, Ruff CB, Warden KE, Scott WW Jr, Rao GU (1990) Predicting femoral neck strength from bone mineral data. A structural approach. Invest Radiol 25:6–18CrossRefPubMed

27.

Smith MD, Cody DD, Goldstein SA, Cooperman AM, Matthews LS, Flynn MJ (1992) Proximal femoral bone density and its correlation to fracture load and hip-screw penetration load. Clin Orthop Relat Res 244-251

28.

Cody DD, Gross GJ, Hou FJ, Spencer HJ, Goldstein SA, Fyhrie DP (1999) Femoral strength is better predicted by finite element models than QCT and DXA. J Biomech 32:1013–1020CrossRefPubMed

29.

Keyak JH (2001) Improved prediction of proximal femoral fracture load using nonlinear finite element models. Med Eng Phys 23:165–173CrossRefPubMed

30.

Keyak JH, Rossi SA, Jones KA, Les CM, Skinner HB (2001) Prediction of fracture location in the proximal femur using finite element models. Med Eng Phys 23:657–664CrossRefPubMed

31.

Kukla C, Gaebler C, Pichl RW, Prokesch R, Heinze G, Heinz T (2002) Predictive geometric factors in a standardized model of femoral neck fracture. Experimental study of cadaveric human femurs. Injury 33:427–433PubMed

32.

Bessho M, Ohnishi I, Matsuyama J, Matsumoto T, Imai K, Nakamura K (2007) Prediction of strength and strain of the proximal femur by a CT-based finite element method. J Biomech 40:1745–1753CrossRefPubMed

33.

Cristofolini L, Juszczyk M, Martelli S, Taddei F, Viceconti M (2007) In vitro replication of spontaneous fractures of the proximal human femur. J Biomech 40:2837–2845CrossRefPubMed

34.

Duchemin L, Mitton D, Jolivet E, Bousson V, Laredo J, Skalli W (2008) An anatomical subject-specific FE-model for hip fracture load prediction. Comput Methods Biomech Biomed Engin 11:105–111CrossRefPubMed

35.

Dall'Ara E, Luisier B, Schmidt R, Pretterklieber M, Kainberger F, Zysset P, Pahr D (2013) DXA predictions of human femoral mechanical properties depend on the load configuration. Med Eng Phys 35:1564–1572 discussion 1564CrossRefPubMed

36.

Courtney AC, Wachtel EF, Myers ER, Hayes WC (1994) Effects of loading rate on strength of the proximal femur. Calcif Tissue Int 55:53–58CrossRefPubMed

37.

Pinilla TP, Boardman KC, Bouxsein ML, Myers ER, Hayes WC (1996) Impact direction from a fall influences the failure load of the proximal femur as much as age-related bone loss. Calcif Tissue Int 58:231–235CrossRefPubMed

38.

Cheng XG, Lowet G, Boonen S, Nicholson PH, Brys P, Nijs J, Dequeker J (1997) Assessment of the strength of proximal femur in vitro: relationship to femoral bone mineral density and femoral geometry. Bone 20:213–218CrossRefPubMed

39.

Pulkkinen P, Eckstein F, Lochmuller EM, Kuhn V, Jamsa T (2006) Association of geometric factors and failure load level with the distribution of cervical vs. trochanteric hip fractures. J Bone Miner Res 21:895–901CrossRefPubMed

40.

Manske SL, Liu-Ambrose T, Cooper DM, Kontulainen S, Guy P, Forster BB, McKay HA (2009) Cortical and trabecular bone in the femoral neck both contribute to proximal femur failure load prediction. Osteoporos Int 20:445–453CrossRefPubMed

41.

de Bakker PM, Manske SL, Ebacher V, Oxland TR, Cripton PA, Guy P (2009) During sideways falls proximal femur fractures initiate in the superolateral cortex: evidence from high-speed video of simulated fractures. J Biomech 42:1917–1925CrossRefPubMed

42.

Roberts BJ, Thrall E, Muller JA, Bouxsein ML (2010) Comparison of hip fracture risk prediction by femoral aBMD to experimentally measured factor of risk. Bone 46:742–746CrossRefPubMed

43.

Dragomir-Daescu D, Op Den Buijs J, McEligot S, Dai Y, Entwistle RC, Salas C, Melton LJ 3rd, Bennet KE, Khosla S, Amin S (2011) Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip. Ann Biomed Eng 39:742–755CrossRefPubMed

44.

Koivumaki JE, Thevenot J, Pulkkinen P, Kuhn V, Link TM, Eckstein F, Jamsa T (2012) Ct-based finite element models can be used to estimate experimentally measured failure loads in the proximal femur. Bone 50:824–829CrossRefPubMed

45.

Nishiyama KK, Gilchrist S, Guy P, Cripton P, Boyd SK (2013) Proximal femur bone strength estimated by a computationally fast finite element analysis in a sideways fall configuration. J Biomech 46:1231–1236CrossRefPubMed

46.

Gebauer M, Stark O, Vettorazzi E, Grifka J, Puschel K, Amling M, Beckmann J (2014) DXA and pQCT predict pertrochanteric and not femoral neck fracture load in a human side-impact fracture model. J Orthop Res 32:31–38CrossRefPubMed

47.

Gilchrist S, Nishiyama KK, de Bakker P, Guy P, Boyd SK, Oxland T, Cripton PA (2014) Proximal femur elastic behaviour is the same in impact and constant displacement rate fall simulation. J Biomech 47:3744–3749CrossRefPubMed

48.

Zani L, Erani P, Grassi L, Taddei F, Cristofolini L (2015) Strain distribution in the proximal Human femur during in vitro simulated sideways fall. J Biomech 48:2130–2143CrossRefPubMed

49.

Varga P, Schwiedrzik J, Zysset PK, Fliri-Hofmann L, Widmer D, Gueorguiev B, Blauth M, Windolf M (2016) Nonlinear quasi-static finite element simulations predict in vitro strength of human proximal femora assessed in a dynamic sideways fall setup. J Mech Behav Biomed Mater 57:116–127CrossRefPubMed

50.

Pottecher P, Engelke K, Duchemin L et al (2016) Prediction of Hip Failure Load: In Vitro Study of 80 Femurs Using Three Imaging Methods and Finite Element Models-The European Fracture Study (EFFECT). Radiology 280:837–847CrossRefPubMed

51.

Dragomir-Daescu D, Rossman TL, Rezaei A, Carlson KD, Kallmes DF, Skinner JA, Khosla S, Amin S (2018) Factors associated with proximal femur fracture determined in a large cadaveric cohort. Bone 116:196–202CrossRefPubMedPubMedCentral

52.

Eckstein F, Wunderer C, Boehm H, Kuhn V, Priemel M, Link TM, Lochmuller EM (2004) Reproducibility and side differences of mechanical tests for determining the structural strength of the proximal femur. J Bone Miner Res 19:379–385CrossRefPubMed

53.

Dalen N, Hellstrom LG, Jacobson B (1976) Bone mineral content and mechanical strength of the femoral neck. Acta Orthop Scand 47:503–508CrossRefPubMed

54.

Leichter I, Margulies JY, Weinreb A, Mizrahi J, Robin GC, Conforty B, Makin M, Bloch B (1982) The relationship between bone density, mineral content, and mechanical strength in the femoral neck. Clin Orthop Relat Res 272-281

55.

Esses SI, Lotz JC, Hayes WC (1989) Biomechanical properties of the proximal femur determined in vitro by single-energy quantitative computed tomography. J Bone Miner Res 4:715–722CrossRefPubMed

56.

Link TM, Vieth V, Langenberg R, Meier N, Lotter A, Newitt D, Majumdar S (2003) Structure analysis of high resolution magnetic resonance imaging of the proximal femur: in vitro correlation with biomechanical strength and BMD. Calcif Tissue Int 72:156–165CrossRefPubMed

57.

Abraham AC, Agarwalla A, Yadavalli A, McAndrew C, Liu JY, Tang SY (2015) Multiscale Predictors of Femoral Neck In Situ Strength in Aging Women: Contributions of BMD, Cortical Porosity, Reference Point Indentation, and Nonenzymatic Glycation. J Bone Miner Res 30:2207–2214CrossRefPubMed

58.

Lotz JC, Hayes WC (1990) The use of quantitative computed tomography to estimate risk of fracture of the hip from falls. J Bone Joint Surg Am 72:689–700CrossRefPubMed

59.

Keyak JH, Rossi SA, Jones KA, Skinner HB (1998) Prediction of femoral fracture load using automated finite element modeling. J Biomech 31:125–133CrossRefPubMed

60.

Pithioux M, Chabrand P, Hochard C, Champsaur P (2011) Omproved femoral neck fracture predictions using anisotropic failure criteria models. Journal of Mechanics in Medicine and Biology 11:1333–1346CrossRef

61.

Dall'Ara E, Luisier B, Schmidt R, Kainberger F, Zysset P, Pahr D (2013) A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro. Bone 52:27–38CrossRefPubMed

62.

Luisier B, Dall'Ara E, Pahr DH (2014) Orthotropic HR-pQCT-based FE models improve strength predictions for stance but not for side-way fall loading compared to isotropic QCT-based FE models of human femurs. J Mech Behav Biomed Mater 32:287–299CrossRefPubMed

63.

Hambli R, Allaoui S (2013) A robust 3D finite element simulation of human proximal femur progressive fracture under stance load with experimental validation. Ann Biomed Eng 41:2515–2527CrossRefPubMed

64.

Langton CM, Pisharody S, Keyak JH (2009) Comparison of 3D finite element analysis derived stiffness and BMD to determine the failure load of the excised proximal femur. Med Eng Phys 31:668–672CrossRefPubMed

65.

Enns-Bray WS, Owoc JS, Nishiyama KK, Boyd SK (2014) Mapping anisotropy of the proximal femur for enhanced image based finite element analysis. J Biomech 47:3272–3278CrossRefPubMed

66.

Thevenot J, Koivumaki J, Kuhn V, Eckstein F, Jamsa T (2014) A novel methodology for generating 3D finite element models of the hip from 2D radiographs. J Biomech 47:438–444CrossRefPubMed

67.

Schileo E, Balistreri L, Grassi L, Cristofolini L, Taddei F (2014) To what extent can linear finite element models of human femora predict failure under stance and fall loading configurations? J Biomech 47:3531–3538CrossRefPubMed

68.

Nawathe S, Akhlaghpour H, Bouxsein ML, Keaveny TM (2014) Microstructural failure mechanisms in the human proximal femur for sideways fall loading. J Bone Miner Res 29:507–515CrossRefPubMed

69.

Ariza O, Gilchrist S, Widmer RP, Guy P, Ferguson SJ, Cripton PA, Helgason B (2015) Comparison of explicit finite element and mechanical simulation of the proximal femur during dynamic drop-tower testing. J Biomech 48:224–232CrossRefPubMed

70.

Morgan EF, Bouxsein ML (2005) Use of finite element analysis to assess bone strength. BoneKEy-Osteovision 2:8–19CrossRef

71.

Luo Y, Ferdous Z, Leslie WD (2013) Precision study of DXA-based patient-specific finite element modeling for assessing hip fracture risk. Int J Numer Method Biomed Eng 29:615–629CrossRefPubMed

72.

Yang L, Palermo L, Black DM, Eastell R (2014) Prediction of incident hip fracture with the estimated femoral strength by finite element analysis of DXA Scans in the study of osteoporotic fractures. J Bone Miner Res 29:2594–2600CrossRefPubMed

73.

Keaveny TM (2010) Biomechanical computed tomography-noninvasive bone strength analysis using clinical computed tomography scans. Ann N Y Acad Sci 1192:57–65CrossRefPubMed

74.

Grassi L, Vaananen SP, Ristinmaa M, Jurvelin JS, Isaksson H (2017) Prediction of femoral strength using 3D finite element models reconstructed from DXA images: validation against experiments. Biomech Model Mechanobiol 16:989–1000CrossRefPubMed

75.

Humbert L, Martelli Y, Fonolla R, Steghofer M, Di Gregorio S, Malouf J, Romera J, Barquero LM (2017) 3D-DXA: Assessing the Femoral Shape, the Trabecular Macrostructure and the Cortex in 3D from DXA images. IEEE Trans Med Imaging 36:27–39CrossRefPubMed

76.

Cody DD, Hou FJ, Divine GW, Fyhrie DP (2000) Short term in vivo precision of proximal femoral finite element modeling. Ann Biomed Eng 28:408–414CrossRefPubMed

77.

Dall'Ara E, Eastell R, Viceconti M, Pahr D, Yang L (2016) Experimental validation of DXA-based finite element models for prediction of femoral strength. J Mech Behav Biomed Mater 63:17–25CrossRefPubMed

78.

Whitmarsh T, Humbert L, De Craene M, Del Rio Barquero LM, Frangi AF (2011) Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometry. IEEE Trans Med Imaging 30:2101–2114CrossRefPubMed

79.

van den Munckhof S, Zadpoor AA (2014) How accurately can we predict the fracture load of the proximal femur using finite element models? Clin Biomech (Bristol, Avon) 29:373–380CrossRef

80.

Zysset PK, Dall'ara E, Varga P, Pahr DH (2013) Finite element analysis for prediction of bone strength. Bonekey Rep 2:386CrossRefPubMedPubMedCentral

81.

Naylor KE, McCloskey EV, Eastell R, Yang L (2013) Use of DXA-based finite element analysis of the proximal femur in a longitudinal study of hip fracture. J Bone Miner Res 28:1014–1021CrossRefPubMed

82.

Orwoll ES, Marshall LM, Nielson CM et al (2009) Finite element analysis of the proximal femur and hip fracture risk in older men. J Bone Miner Res 24:475–483CrossRefPubMed

83.

Kopperdahl DL, Aspelund T, Hoffmann PF, Sigurdsson S, Siggeirsdottir K, Harris TB, Gudnason V, Keaveny TM (2014) Assessment of incident spine and hip fractures in women and men using finite element analysis of CT scans. J Bone Miner Res 29:570–580CrossRefPubMed

84.

Adams AL, Fischer H, Kopperdahl DL et al (2018) Osteoporosis and Hip Fracture Risk From Routine Computed Tomography Scans: The Fracture, Osteoporosis, and CT Utilization Study (FOCUS). J Bone Miner Res 33:1291–1301CrossRefPubMed

85.

Leslie WD, Luo Y, Yang S, Goertzen AL, Ahmed S, Delubac I, Lix LM (2019) Fracture Risk Indices From DXA-Based Finite Element Analysis Predict Incident Fractures Independently From FRAX: The Manitoba BMD Registry. J Clin Densitom

86.

Bouxsein ML (2013) Overview of bone structure and strength Genetics of Bone Biology and Skeletal Disease, Elsevier, 1st edition

87.

Keyak JH, Sigurdsson S, Karlsdottir GS et al (2013) Effect of finite element model loading condition on fracture risk assessment in men and women: the AGES-Reykjavik study. Bone 57:18–29CrossRefPubMedPubMedCentral

88.

Khoo BC, Brown K, Cann C, Zhu K, Henzell S, Low V, Gustafsson S, Price RI, Prince RL (2009) Comparison of QCT-derived and DXA-derived areal bone mineral density and T scores. Osteoporos Int 20:1539–1545CrossRefPubMed

89.

Lee DC, Hoffmann PF, Kopperdahl DL, Keaveny TM (2017) Phantomless calibration of CT scans for measurement of BMD and bone strength-Inter-operator reanalysis precision. Bone 103:325–333CrossRefPubMedPubMedCentral

90.

Wang X, Sanyal A, Cawthon PM et al (2012) Prediction of new clinical vertebral fractures in elderly men using finite element analysis of CT scans. J Bone Miner Res 27:808–816CrossRefPubMed

91.

Falcinelli C, Schileo E, Balistreri L et al (2014) Multiple loading conditions analysis can improve the association between finite element bone strength estimates and proximal femur fractures: a preliminary study in elderly women. Bone 67:71–80CrossRefPubMed

92.

Yang S, Leslie WD, Luo Y, Goertzen AL, Ahmed S, Ward LM, Delubac I, Lix LM (2018) Automated DXA-based finite element analysis for hip fracture risk stratification: a cross-sectional study. Osteoporos Int 29:191–200CrossRefPubMed

93.

Vaananen SP, Grassi L, Flivik G, Jurvelin JS, Isaksson H (2015) Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image. Med Image Anal 24:125–134CrossRefPubMed

94.

Ruiz Wills C, Olivares AL, Tassani S, Ceresa M, Zimmer V, Gonzalez Ballester MA, Del Rio LM, Humbert L, Noailly J (2019) 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases. Bone 121:89–99CrossRefPubMed

95.

Lee DC, Varela A, Kostenuik PJ, Ominsky MS, Keaveny TM (2016) Finite Element Analysis of Denosumab Treatment Effects on Vertebral Strength in Ovariectomized Cynomolgus Monkeys. J Bone Miner Res 31:1586–1595CrossRefPubMed

96.

Cabal A, Jayakar RY, Sardesai S et al (2013) High-resolution peripheral quantitative computed tomography and finite element analysis of bone strength at the distal radius in ovariectomized adult rhesus monkey demonstrate efficacy of odanacatib and differentiation from alendronate. Bone 56:497–505CrossRefPubMed

97.

Balena R, Toolan BC, Shea M et al (1993) The effects of 2-year treatment with the aminobisphosphonate alendronate on bone metabolism, bone histomorphometry, and bone strength in ovariectomized nonhuman primates. J Clin Invest 92:2577–2586CrossRefPubMedPubMedCentral

98.

Kostenuik PJ, Smith SY, Samadfam R, Jolette J, Zhou L, Ominsky MS (2015) Effects of denosumab, alendronate, or denosumab following alendronate on bone turnover, calcium homeostasis, bone mass and bone strength in ovariectomized cynomolgus monkeys. J Bone Miner Res 30:657–669CrossRefPubMed

99.

Binkley N, Kimmel D, Bruner J, Haffa A, Davidowitz B, Meng C, Schaffer V, Green J (1998) Zoledronate prevents the development of absolute osteopenia following ovariectomy in adult rhesus monkeys. J Bone Miner Res 13:1775–1782CrossRefPubMed

100.

Fox J, Miller MA, Newman MK, Turner CH, Recker RR, Smith SY (2007) Treatment of skeletally mature ovariectomized rhesus monkeys with PTH(1-84) for 16 months increases bone formation and density and improves trabecular architecture and biomechanical properties at the lumbar spine. J Bone Miner Res 22:260–273CrossRefPubMed

101.

Cusick T, Chen CM, Pennypacker BL, Pickarski M, Kimmel DB, Scott BB, Duong LT (2012) Odanacatib treatment increases hip bone mass and cortical thickness by preserving endocortical bone formation and stimulating periosteal bone formation in the ovariectomized adult rhesus monkey. J Bone Miner Res 27:524–537CrossRefPubMed

102.

Masarachia PJ, Pennypacker BL, Pickarski M et al (2012) Odanacatib reduces bone turnover and increases bone mass in the lumbar spine of skeletally mature ovariectomized rhesus monkeys. J Bone Miner Res 27:509–523CrossRefPubMed

103.

Burr DB, Hirano T, Turner CH, Hotchkiss C, Brommage R, Hock JM (2001) Intermittently administered human parathyroid hormone(1-34) treatment increases intracortical bone turnover and porosity without reducing bone strength in the humerus of ovariectomized cynomolgus monkeys. J Bone Miner Res 16:157–165CrossRefPubMed

104.

Turner CH, Burr DB, Hock JM, Brommage R, Sato M (2001) The effects of PTH (1-34) on bone structure and strength in ovariectomized monkeys. Adv Exp Med Biol 496:165–179CrossRefPubMed

105.

Bauss F, Lalla S, Endele R, Hothorn LA (2002) Effects of treatment with ibandronate on bone mass, architecture, biomechanical properties, and bone concentration of ibandronate in ovariectomized aged rats. J Rheumatol 29:2200–2208PubMed

106.

Smith SY, Recker RR, Hannan M, Muller R, Bauss F (2003) Intermittent intravenous administration of the bisphosphonate ibandronate prevents bone loss and maintains bone strength and quality in ovariectomized cynomolgus monkeys. Bone 32:45–55CrossRefPubMed

107.

Muller R, Hannan M, Smith SY, Bauss F (2004) Intermittent ibandronate preserves bone quality and bone strength in the lumbar spine after 16 months of treatment in the ovariectomized cynomolgus monkey. J Bone Miner Res 19:1787–1796CrossRefPubMed

108.

Kostenuik PJ, Smith SY, Jolette J, Schroeder J, Pyrah I, Ominsky MS (2011) Decreased bone remodeling and porosity are associated with improved bone strength in ovariectomized cynomolgus monkeys treated with denosumab, a fully human RANKL antibody. Bone 49:151–161CrossRefPubMed

109.

Ominsky MS, Boyd SK, Varela A et al (2017) Romosozumab Improves Bone Mass and Strength While Maintaining Bone Quality in Ovariectomized Cynomolgus Monkeys. J Bone Miner Res 32:788–801CrossRefPubMed

110.

Doyle N, Varela A, Haile S, Guldberg R, Kostenuik PJ, Ominsky MS, Smith SY, Hattersley G (2018) Abaloparatide, a novel PTH receptor agonist, increased bone mass and strength in ovariectomized cynomolgus monkeys by increasing bone formation without increasing bone resorption. Osteoporos Int 29:685–697CrossRefPubMed

111.

Ominsky MS, Stouch B, Schroeder J, Pyrah I, Stolina M, Smith SY, Kostenuik PJ (2011) Denosumab, a fully human RANKL antibody, reduced bone turnover markers and increased trabecular and cortical bone mass, density, and strength in ovariectomized cynomolgus monkeys. Bone 49:162–173CrossRefPubMed

112.

Sato M, Westmore M, Ma YL, Schmidt A, Zeng QQ, Glass EV, Vahle J, Brommage R, Jerome CP, Turner CH (2004) Teriparatide [PTH(1-34)] strengthens the proximal femur of ovariectomized nonhuman primates despite increasing porosity. J Bone Miner Res 19:623–629CrossRefPubMed

113.

Cummings SR, Karpf DB, Harris F, Genant HK, Ensrud K, LaCroix AZ, Black DM (2002) Improvement in spine bone density and reduction in risk of vertebral fractures during treatment with antiresorptive drugs. Am J Med 112:281–289CrossRefPubMed

114.

Delmas PD, Seeman E (2004) Changes in bone mineral density explain little of the reduction in vertebral or nonvertebral fracture risk with anti-resorptive therapy. Bone 34:599–604CrossRefPubMed

115.

Watts NB, Geusens P, Barton IP, Felsenberg D (2005) Relationship between changes in BMD and nonvertebral fracture incidence associated with risedronate: reduction in risk of nonvertebral fracture is not related to change in BMD. J Bone Miner Res 20:2097–2104CrossRefPubMed

116.

Turner CH, Garetto LP, Dunipace AJ, Zhang W, Wilson ME, Grynpas MD, Chachra D, McClintock R, Peacock M, Stookey GK (1997) Fluoride treatment increased serum IGF-1, bone turnover, and bone mass, but not bone strength, in rabbits. Calcif Tissue Int 61:77–83CrossRefPubMed

117.

Brixen K, Chapurlat R, Cheung AM et al (2013) Bone density, turnover, and estimated strength in postmenopausal women treated with odanacatib: a randomized trial. J Clin Endocrinol Metab 98:571–580CrossRefPubMed

118.

Graeff C, Campbell GM, Pena J, Borggrefe J, Padhi D, Kaufman A, Chang S, Libanati C, Gluer CC (2015) Administration of romosozumab improves vertebral trabecular and cortical bone as assessed with quantitative computed tomography and finite element analysis. Bone 81:364–369CrossRefPubMed

119.

Graeff C, Chevalier Y, Charlebois M, Varga P, Pahr D, Nickelsen TN, Morlock MM, Gluer CC, Zysset PK (2009) Improvements in vertebral body strength under teriparatide treatment assessed in vivo by finite element analysis: results from the EUROFORS study. J Bone Miner Res 24:1672–1680CrossRefPubMed

120.

Keaveny TM, Hoffmann PF, Singh M, Palermo L, Bilezikian JP, Greenspan SL, Black DM (2008) Femoral bone strength and its relation to cortical and trabecular changes after treatment with PTH, alendronate, and their combination as assessed by finite element analysis of quantitative CT scans. J Bone Miner Res 23:1974–1982CrossRefPubMedPubMedCentral

121.

Keaveny TM, McClung MR, Genant HK et al (2014) Femoral and vertebral strength improvements in postmenopausal women with osteoporosis treated with denosumab. J Bone Miner Res 29:158–165CrossRefPubMed

122.

Lewiecki EM, Keaveny TM, Kopperdahl DL, Genant HK, Engelke K, Fuerst T, Kivitz A, Davies RY, Fitzpatrick LA (2009) Once-monthly oral ibandronate improves biomechanical determinants of bone strength in women with postmenopausal osteoporosis. J Clin Endocrinol Metab 94:171–180CrossRefPubMed

123.

Muschitz C, Kocijan R, Pahr D, Patsch JM, Amrein K, Misof BM, Kaider A, Resch H, Pietschmann P (2015) Ibandronate increases sclerostin levels and bone strength in male patients with idiopathic osteoporosis. Calcif Tissue Int 96:477–489CrossRefPubMed

124.

Zysset P, Pahr D, Engelke K et al (2015) Comparison of proximal femur and vertebral body strength improvements in the FREEDOM trial using an alternative finite element methodology. Bone 81:122–130CrossRefPubMed

125.

Keaveny TM, Crittenden DB, Bolognese MA et al (2015) Romosozumab improves strength at the lumbar spine and hip in postmenopausal women with low bone mass compared with teriparatide. J Bone Miner Res 28(Suppl 1):abstract 1143

126.

Keaveny TM, Donley DW, Hoffmann PF, Mitlak BH, Glass EV, San Martin JA (2007) Effects of teriparatide and alendronate on vertebral strength as assessed by finite element modeling of QCT scans in women with osteoporosis. J Bone Miner Res 22:149–157CrossRefPubMed

127.

Keaveny TM, McClung MR, Wan X, Kopperdahl DL, Mitlak BH, Krohn K (2012) Femoral strength in osteoporotic women treated with teriparatide or alendronate. Bone 50:165–170CrossRefPubMed

128.

Keaveny TM, Crittenden DB, Bolognese MA et al (2017) Greater Gains in Spine and Hip Strength for Romosozumab Compared With Teriparatide in Postmenopausal Women With Low Bone Mass. J Bone Miner Res 32:1956–1962CrossRefPubMed

Titel: Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk
verfasst von: M. L. Bouxsein
P. Zysset
C. C. Glüer
M. McClung
E. Biver
D.D. Pierroz
S. L. Ferrari
on behalf of the IOF Working Group on Hip Bone Strength as a Therapeutic Target
Publikationsdatum: 03.01.2020
Verlag: Springer London
Erschienen in: Osteoporosis International / Ausgabe 3/2020
Print ISSN: 0937-941X
Elektronische ISSN: 1433-2965
DOI: https://doi.org/10.1007/s00198-019-05195-0

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Springer Medizin

Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk

Abstract

Summary

Introduction

Methods

Results

Conclusions

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Springer Medizin

Abstract

Summary

Introduction

Methods

Results

Conclusions

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