187 related articles for article (PubMed ID: 31521453)
1. Prediction of the pathological fracture risk during stance and fall-loading configurations for metastases in the proximal femur, using a computed tomography-based finite element method.
Shinoda Y; Kobayashi H; Kaneko M; Ohashi S; Bessho M; Hayashi N; Oka H; Imanishi J; Sawada R; Ogura K; Tanaka S; Haga N; Kawano H
J Orthop Sci; 2019 Nov; 24(6):1074-1080. PubMed ID: 31521453
[TBL] [Abstract][Full Text] [Related]
2. Prediction of proximal femur strength using a CT-based nonlinear finite element method: differences in predicted fracture load and site with changing load and boundary conditions.
Bessho M; Ohnishi I; Matsumoto T; Ohashi S; Matsuyama J; Tobita K; Kaneko M; Nakamura K
Bone; 2009 Aug; 45(2):226-31. PubMed ID: 19398043
[TBL] [Abstract][Full Text] [Related]
3. To what extent can linear finite element models of human femora predict failure under stance and fall loading configurations?
Schileo E; Balistreri L; Grassi L; Cristofolini L; Taddei F
J Biomech; 2014 Nov; 47(14):3531-8. PubMed ID: 25261321
[TBL] [Abstract][Full Text] [Related]
4. Prediction of torsional failure in 22 cadaver femora with and without simulated subtrochanteric metastatic defects: a CT scan-based finite element analysis.
Spruijt S; van der Linden JC; Dijkstra PD; Wiggers T; Oudkerk M; Snijders CJ; van Keulen F; Verhaar JA; Weinans H; Swierstra BA
Acta Orthop; 2006 Jun; 77(3):474-81. PubMed ID: 16819688
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of finite element analysis for prediction of the strength reduction due to metastatic lesions in the femoral neck.
Cheal EJ; Hipp JA; Hayes WC
J Biomech; 1993 Mar; 26(3):251-64. PubMed ID: 8468338
[TBL] [Abstract][Full Text] [Related]
6. Effect of finite element model loading condition on fracture risk assessment in men and women: the AGES-Reykjavik study.
Keyak JH; Sigurdsson S; Karlsdottir GS; Oskarsdottir D; Sigmarsdottir A; Kornak J; Harris TB; Sigurdsson G; Jonsson BY; Siggeirsdottir K; Eiriksdottir G; Gudnason V; Lang TF
Bone; 2013 Nov; 57(1):18-29. PubMed ID: 23907032
[TBL] [Abstract][Full Text] [Related]
7. The effect of simulated metastatic lytic lesions on proximal femoral strength.
Keyak JH; Kaneko TS; Skinner HB; Hoang BH
Clin Orthop Relat Res; 2007 Jun; 459():139-45. PubMed ID: 17545762
[TBL] [Abstract][Full Text] [Related]
8. The risk assessment of pathological fracture in the proximal femur using a CT-based finite element method.
Kawabata Y; Matsuo K; Nezu Y; Kamiishi T; Inaba Y; Saito T
J Orthop Sci; 2017 Sep; 22(5):931-937. PubMed ID: 28688810
[TBL] [Abstract][Full Text] [Related]
9. Study of stress variations in single-stance and sideways fall using image-based finite element analysis.
Faisal TR; Luo Y
Biomed Mater Eng; 2016 May; 27(1):1-14. PubMed ID: 27175463
[TBL] [Abstract][Full Text] [Related]
10. Exercise loading history and femoral neck strength in a sideways fall: A three-dimensional finite element modeling study.
Abe S; Narra N; Nikander R; Hyttinen J; Kouhia R; Sievänen H
Bone; 2016 Nov; 92():9-17. PubMed ID: 27477004
[TBL] [Abstract][Full Text] [Related]
11. Incorporating in vivo fall assessments in the simulation of femoral fractures with finite element models.
van der Zijden AM; Janssen D; Verdonschot N; Groen BE; Nienhuis B; Weerdesteyn V; Tanck E
Med Eng Phys; 2015 Jun; 37(6):593-8. PubMed ID: 25892569
[TBL] [Abstract][Full Text] [Related]
12. Prediction of proximal femur strength by a quantitative computed tomography-based finite element method--Creation of predicted strength data of the proximal femur according to age range in a normal population.
Kaneko M; Ohnishi I; Matsumoto T; Ohashi S; Bessho M; Hayashi N; Tanaka S
Mod Rheumatol; 2016; 26(1):151-5. PubMed ID: 25926424
[TBL] [Abstract][Full Text] [Related]
13. Prediction of strength and strain of the proximal femur by a CT-based finite element method.
Bessho M; Ohnishi I; Matsuyama J; Matsumoto T; Imai K; Nakamura K
J Biomech; 2007; 40(8):1745-53. PubMed ID: 17034798
[TBL] [Abstract][Full Text] [Related]
14. Study of the variations of fall induced hip fracture risk between right and left femurs using CT-based FEA.
Faisal TR; Luo Y
Biomed Eng Online; 2017 Oct; 16(1):116. PubMed ID: 28974207
[TBL] [Abstract][Full Text] [Related]
15. Impact loading history modulates hip fracture load and location: A finite element simulation study of the proximal femur in female athletes.
Abe S; Narra N; Nikander R; Hyttinen J; Kouhia R; Sievänen H
J Biomech; 2018 Jul; 76():136-143. PubMed ID: 29921524
[TBL] [Abstract][Full Text] [Related]
16. Modification to Mirels scoring system location component improves fracture prediction for metastatic disease of the proximal femur.
Amendola RL; Miller MA; Kaupp SM; Cleary RJ; Damron TA; Mann KA
BMC Musculoskelet Disord; 2023 Jan; 24(1):65. PubMed ID: 36694156
[TBL] [Abstract][Full Text] [Related]
17. Fracture prediction for the proximal femur using finite element models: Part I--Linear analysis.
Lotz JC; Cheal EJ; Hayes WC
J Biomech Eng; 1991 Nov; 113(4):353-60. PubMed ID: 1762430
[TBL] [Abstract][Full Text] [Related]
18. Improved prediction of proximal femoral fracture load using nonlinear finite element models.
Keyak JH
Med Eng Phys; 2001 Apr; 23(3):165-73. PubMed ID: 11410381
[TBL] [Abstract][Full Text] [Related]
19. Mapping anisotropy improves QCT-based finite element estimation of hip strength in pooled stance and side-fall load configurations.
Panyasantisuk J; Dall'Ara E; Pretterklieber M; Pahr DH; Zysset PK
Med Eng Phys; 2018 Sep; 59():36-42. PubMed ID: 30131112
[TBL] [Abstract][Full Text] [Related]
20. Hip load capacity and yield load in men and women of all ages.
Keyak JH; Kaneko TS; Khosla S; Amin S; Atkinson EJ; Lang TF; Sibonga JD
Bone; 2020 Aug; 137():115321. PubMed ID: 32184195
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
