Predicting the stiffness and strength of human femurs with real metastatic tumors

Bone

Volumn 69, Issue , 2014, Pages 180-190

  Yosibash, Zohar ^a   Plitman Mayo, Romina ^a   Dahan, Gal ^a   Trabelsi, Nir ^b   Amir, Gail ^c   Milgrom, Charles ^c  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

^b SAMI SHAMOON COLLEGE OF ENGINEERING   (Israel)

^c HADASSAH HEBREW UNIVERSITY MEDICAL CENTER   (Israel)

Author keywords

Femur; Metastatic tumors; P FEMs

Indexed keywords

ADULT; AGED; ARTICLE; BONE METASTASIS; BONE RADIOGRAPHY; BONE STRENGTH; BONE STRESS; BREAST METASTASIS; CLINICAL ARTICLE; COLON METASTASIS; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; FEMUR NECK FRACTURE; FINITE ELEMENT ANALYSIS; HISTOPATHOLOGY; HUMAN; KIDNEY METASTASIS; LUNG METASTASIS; MALE; MECHANICAL STRESS; MIDDLE AGED; PANCREAS METASTASIS; PREDICTION; PROSTATE CANCER; UTERINE CERVIX CANCER; YOUNG MODULUS; BONE TUMOR; FEMUR; FRACTURES, BONE; PATHOPHYSIOLOGY; RISK FACTOR; SECONDARY;

AGED; BONE NEOPLASMS; FEMALE; FEMUR; FINITE ELEMENT ANALYSIS; FRACTURES, BONE; HUMANS; MALE; MIDDLE AGED; RISK FACTORS; STRESS, MECHANICAL;

EID: 84908132237     PISSN: 87563282     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bone.2014.09.022     Document Type: Article

References (31)

1. Alho A., Husby T., Hoiseth A. Bone mineral content and mechanical strength. An ex-vivo study on human femora and autopsy. Clin Orthop 1988, 227:292-297.
2. Bayraktar H.H., Morgan E.F., Niebur G.L., Morris G.E., Wong E.K., Keaveny M. Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J Biomech 2004, 37:27-35.
3. Coleman R.E. Clinical features of metastatic boned isease and risk of skeletal morbidity. Clin Cancer Res 2006, 12:6243s-6249s.
4. Damron T.A., Morgan H., Prakash D., Grant W., Aronowitz J., Heiner J. Critical evaluation of Mirels rating system for impending pathologic fractures. Clin Orthop Relat Res 2003, 415:S201-S207.
5. Derikx L.C., van Aken J.B., Janssen D., Snyers A., van der Linden Y.M., Verdonschot N., et al. The assessment of the risk of fracture in femora with metastatic lesions: comparing case-specific finite element analyses with predictions by clinical experts. J Bone Joint Surg 2012, 94-B(8):1135-1142.
6. Esses S.I., Lotz J.C., Hayes W.C. Biomechanical properties of the proximal femur determined in vitro by single-energy quantitative computed tomography. J Bone Miner Res 1989, 4:715-722.
7. Goodsitt M.M. Conversion relations for quantitative ct bone mineral densities measured with solid and liquid calibration standards. Bone Miner 1992, 19:145-158.
8. Heismann B.J., Leppert J., Stierstorfer K. Density and atomic number measurements with spectral x-ray attenuation method. J Appl Phys 2003, 94:2073-2079.
9. Jawad Muhammad Umar, Scully Sean P. In brief: classifications in brief: Mirels' classification: metastatic disease in long bones and impending pathologic fracture. Clin Orthop Relat Res 2010, 468(10).
10. Katz Alon The mechanical response of femurs fixed by metal devices 2011, (MSc thesis), Dept. of Mechanical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
11. Keller T.S. Predicting the compressive mechanical behavior of bone. J Biomech 1994, 27:1159-1168.
12. Keyak J.H., Fourkas M.G., Meagher J.M., Skinner H.B. Validation of automated method of three-dimensional finite element modelling of bone. ASME J Biomech Eng 1993, 15:505-509.
13. Keyak J.H., Kaneko T.S., Rossi S.A., Pejcic M.R., Tehranzadeh J., Skinner H.B. Predicting the strength of femoral shafts with and without metastatic lesions. Clin Orthop Relat Res 2005, 439:161-170.
14. Keyak J.H., Kaneko T.S., Tehranzadeh J., Skinner H.B. Predicting proximal femoral strength using structural engineering models. Clin Orthop Relat Res 2005, 437:219-228.
15. Mann Kenneth A., Lee John, Arrington Sarah A., Damron Timothy A., Allen Matthew J. Predicting distal femur bone strength in a murine model of tumor osteolysis. Clin Orthop Relat Res 2008, 466(6):1271-1278.
16. Marangalou Javad Hazrati, Ito Keita, van Rietbergen Bert A new approach to determine the accuracy of morphology-elasticity relationships in continuum FE analyses of human proximal femur. J Biomech 2012, 45(16):2884-2892.
17. Mindways Software, 282 Second St., San Francisco, CA 94105. CT Calibration Phantom, 2002.
18. Mirels H. Metastatic disease in long bones. a proposed scoring system for diagnosing impending pathologic fractures. Clin Orthop Relat Res 1989, 249:256-264.
19. Rennick John A., Nazarian Ara, Entezari Vahid, Kimbaris James, Tseng Alan, Masoudi Aidin, et al. Finite element analysis and computed tomography based structural rigidity analysis of rat tibia with simulated lytic defects. J Biomech 2013, 46(15):2701-2709.
20. Schileo E., DallAra E., Taddei F., Malandrino A., Schotkamp T., Baleani M., et al. An accurate estimation of bone density improves the accuracy of subject-specific finite element models. J Biomech 2008, 41:2483-2491.
21. Snyder Brian D., Cordio Marsha A., Nazarian Ara, Kwak Daniel S., Chang David J., Entezari Vahid, et al. Noninvasive prediction of fracture risk in patients with metastatic cancer to the spine. Clin. Cancer Res 2009, 15(24):7676-7683.
22. Spruijt Sander, Van Der Linden Jacqueline C., Dijkstra P.D.Sander, Wiggers Theo, Oudkerk Mathijs, Snijders Chris J., et al. Prediction of torsional failure in 22 cadaver femora with and without simulated subtrochanteric metastatic defects: a CT scan-based finite element analysis. Acta Orthop 2006, 77(3):474-481.
23. Tanck Esther, van Aken Jantien B., van der Linden Yvette M., Bart Schreuder H.W., Binkowski Marcin, Huizenga Henk, et al. Pathological fracture prediction in patients with metastatic lesions can be improved with quantitative computed tomography based computer models. Bone 2009, 45(4):777-783.
24. Trabelsi N., Yosibash Z. Patient-specific FE analyses of the proximal femur with orthotropic material properties validated by experiments. ASME J Biomech Eng 2011, 155:061001-1-061001-11.
25. Trabelsi N., Yosibash Z., Milgrom C. Validation of subject-specific automated p-FE analysis of the proximal femur. J Biomech 2009, 42:234-241.
26. Trabelsi N., Yosibash Z., Wutte C., Augat R., Eberle S. Patient-specific finite element analysis of the human femur - a double-blinded biomechanical validation. J Biomech 2011, 44:1666-1672.
27. Yosibash Z., Padan R., Joscowicz L., Milgrom C. A CT-based high-order finite element analysis of the human proximal femur compared to in-vitro experiments. ASME J Biomech Eng 2007, 129(3):297-309.
28. Yosibash Z., Plitman Mayo R., Milgrom C. Atypical viscous fracture of human femurs. Adv Biomech Appl 2014, 1(2):77-83.
29. Yosibash Z., Tal D., Trabelsi N. Predicting the yield of the proximal femur using high order finite element analysis with inhomogeneous orthotropic material properties. Phil Trans R Soc A 2010, 368:2707-2723.
30. Yosibash Z., Trabelsi N., Hellmich C. Subject-specific p-FE analysis of the proximal femur utilizing micromechanics based material properties. Int J Multiscale Comput Eng 2008, 6(5):483-498.
31. Yosibash Z., Trabelsi N., Milgrom C. Reliable simulations of the human proximal femur by high-order finite element analysis validated by experimental observations. J Biomech 2007, 40:3688-3699.