107 related articles for article (PubMed ID: 27142243)
1. Prediction of pathological fracture of the femoral shaft with an osteolytic lesion using a computed tomography-based nonlinear three-dimensional finite element method.
Chiba D; Mori Y; Sano H; Kishimoto K; Hatori M; Takahashi A; Nakajo S; Itoi E
J Orthop Sci; 2016 Jul; 21(4):530-538. PubMed ID: 27142243
[TBL] [Abstract][Full Text] [Related]
2. Potential pathogenic mechanism for stress fractures of the bowed femoral shaft in the elderly: Mechanical analysis by the CT-based finite element method.
Oh Y; Wakabayashi Y; Kurosa Y; Fujita K; Okawa A
Injury; 2014 Nov; 45(11):1764-71. PubMed ID: 25225173
[TBL] [Abstract][Full Text] [Related]
3. Prediction of the vertebral strength using a finite element model derived from low-dose biplanar imaging: benefits of subject-specific material properties.
Sapin-de Brosses E; Jolivet E; Travert C; Mitton D; Skalli W
Spine (Phila Pa 1976); 2012 Feb; 37(3):E156-62. PubMed ID: 22290213
[TBL] [Abstract][Full Text] [Related]
4. The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.
Ataei A; Eggermont F; Verdonschot N; Lessmann N; Tanck E
Bone; 2024 Feb; 179():116987. PubMed ID: 38061504
[TBL] [Abstract][Full Text] [Related]
5. Predicting the strength of femoral shafts with and without metastatic lesions.
Keyak JH; Kaneko TS; Rossi SA; Pejcic MR; Tehranzadeh J; Skinner HB
Clin Orthop Relat Res; 2005 Oct; 439():161-70. PubMed ID: 16205155
[TBL] [Abstract][Full Text] [Related]
6. Location of atypical femoral fracture can be determined by tensile stress distribution influenced by femoral bowing and neck-shaft angle: a CT-based nonlinear finite element analysis model for the assessment of femoral shaft loading stress.
Oh Y; Fujita K; Wakabayashi Y; Kurosa Y; Okawa A
Injury; 2017 Dec; 48(12):2736-2743. PubMed ID: 28982480
[TBL] [Abstract][Full Text] [Related]
7. Assessing the susceptibility to local buckling at the femoral neck cortex to age-related bone loss.
Lee T; Choi JB; Schafer BW; Segars WP; Eckstein F; Kuhn V; Beck TJ
Ann Biomed Eng; 2009 Sep; 37(9):1910-20. PubMed ID: 19585240
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Low-dose and sparse sampling MDCT-based femoral bone strength prediction using finite element analysis.
Rayudu NM; Anitha DP; Mei K; Zoffl F; Kopp FK; Sollmann N; Löffler MT; Kirschke JS; Noël PB; Subburaj K; Baum T
Arch Osteoporos; 2020 Feb; 15(1):17. PubMed ID: 32088769
[TBL] [Abstract][Full Text] [Related]
11. [Prediction of bone strength using a CT based finite element method].
Ohnishi I
Clin Calcium; 2006 Dec; 16(12):2043-51. PubMed ID: 17142936
[TBL] [Abstract][Full Text] [Related]
12. Biomechanical model of a high risk impending pathologic fracture of the femur: lesion creation based on clinically implemented scoring systems.
Alexander GE; Gutierrez S; Nayak A; Palumbo BT; Cheong D; Letson GD; Santoni BG
Clin Biomech (Bristol, Avon); 2013 Apr; 28(4):408-14. PubMed ID: 23597777
[TBL] [Abstract][Full Text] [Related]
13. Prediction of damage formation in hip arthroplasties by finite element analysis using computed tomography images.
Abdullah AH; Todo M; Nakashima Y
Med Eng Phys; 2017 Jun; 44():8-15. PubMed ID: 28373012
[TBL] [Abstract][Full Text] [Related]
14. Finite element analysis and CT-based structural rigidity analysis to assess failure load in bones with simulated lytic defects.
Anez-Bustillos L; Derikx LC; Verdonschot N; Calderon N; Zurakowski D; Snyder BD; Nazarian A; Tanck E
Bone; 2014 Jan; 58():160-7. PubMed ID: 24145305
[TBL] [Abstract][Full Text] [Related]
15. Predicting failure load of the femur with simulated osteolytic defects using noninvasive imaging technique in a simplified load case.
Lee T
Ann Biomed Eng; 2007 Apr; 35(4):642-50. PubMed ID: 17286207
[TBL] [Abstract][Full Text] [Related]
16. Sensitivity of proximal femoral stiffness and areal bone mineral density to changes in bone geometry and density.
Pisharody S; Phillips R; Langton CM
Proc Inst Mech Eng H; 2008 Apr; 222(3):367-75. PubMed ID: 18491705
[TBL] [Abstract][Full Text] [Related]
17. A preliminary dual-energy X-ray absorptiometry-based finite element model for assessing osteoporotic hip fracture risk.
Luo Y; Ferdous Z; Leslie WD
Proc Inst Mech Eng H; 2011 Dec; 225(12):1188-95. PubMed ID: 22320058
[TBL] [Abstract][Full Text] [Related]
18. Predicting distal femur bone strength in a murine model of tumor osteolysis.
Mann KA; Lee J; Arrington SA; Damron TA; Allen MJ
Clin Orthop Relat Res; 2008 Jun; 466(6):1271-8. PubMed ID: 18404290
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Simulating activities of daily living with finite element analysis improves fracture prediction for patients with metastatic femoral lesions.
Goodheart JR; Cleary RJ; Damron TA; Mann KA
J Orthop Res; 2015 Aug; 33(8):1226-34. PubMed ID: 25761000
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
