663 related articles for article (PubMed ID: 18430879)
1. Proximal femur specimens: automated 3D trabecular bone mineral density analysis at multidetector CT--correlation with biomechanical strength measurement.
Huber MB; Carballido-Gamio J; Bauer JS; Baum T; Eckstein F; Lochmüller EM; Majumdar S; Link TM
Radiology; 2008 May; 247(2):472-81. PubMed ID: 18430879
[TBL] [Abstract][Full Text] [Related]
2. Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.
Baum T; Carballido-Gamio J; Huber MB; Müller D; Monetti R; Räth C; Eckstein F; Lochmüller EM; Majumdar S; Rummeny EJ; Link TM; Bauer JS
Osteoporos Int; 2010 Sep; 21(9):1553-64. PubMed ID: 19859642
[TBL] [Abstract][Full Text] [Related]
3. Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: a comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro.
Bauer JS; Kohlmann S; Eckstein F; Mueller D; Lochmüller EM; Link TM
Calcif Tissue Int; 2006 Feb; 78(2):78-89. PubMed ID: 16467973
[TBL] [Abstract][Full Text] [Related]
4. Prediction of Hip Failure Load: In Vitro Study of 80 Femurs Using Three Imaging Methods and Finite Element Models-The European Fracture Study (EFFECT).
Pottecher P; Engelke K; Duchemin L; Museyko O; Moser T; Mitton D; Vicaut E; Adams J; Skalli W; Laredo JD; Bousson V
Radiology; 2016 Sep; 280(3):837-47. PubMed ID: 27077380
[TBL] [Abstract][Full Text] [Related]
5. The combination of structural parameters and areal bone mineral density improves relation to proximal femur strength: an in vitro study with high-resolution peripheral quantitative computed tomography.
Hansen S; Jensen JE; Ahrberg F; Hauge EM; Brixen K
Calcif Tissue Int; 2011 Oct; 89(4):335-46. PubMed ID: 21874544
[TBL] [Abstract][Full Text] [Related]
6. Assessment of the strength of proximal femur in vitro: relationship to femoral bone mineral density and femoral geometry.
Cheng XG; Lowet G; Boonen S; Nicholson PH; Brys P; Nijs J; Dequeker J
Bone; 1997 Mar; 20(3):213-8. PubMed ID: 9071471
[TBL] [Abstract][Full Text] [Related]
7. Failure strength of human vertebrae: prediction using bone mineral density measured by DXA and bone volume by micro-CT.
Perilli E; Briggs AM; Kantor S; Codrington J; Wark JD; Parkinson IH; Fazzalari NL
Bone; 2012 Jun; 50(6):1416-25. PubMed ID: 22430313
[TBL] [Abstract][Full Text] [Related]
8. Volumetric quantitative computed tomography of the proximal femur: relationships linking geometric and densitometric variables to bone strength. Role for compact bone.
Bousson V; Le Bras A; Roqueplan F; Kang Y; Mitton D; Kolta S; Bergot C; Skalli W; Vicaut E; Kalender W; Engelke K; Laredo JD
Osteoporos Int; 2006; 17(6):855-64. PubMed ID: 16547689
[TBL] [Abstract][Full Text] [Related]
9. In situ femoral dual-energy X-ray absorptiometry related to ash weight, bone size and density, and its relationship with mechanical failure loads of the proximal femur.
Lochmüller EM; Miller P; Bürklein D; Wehr U; Rambeck W; Eckstein F
Osteoporos Int; 2000; 11(4):361-7. PubMed ID: 10928227
[TBL] [Abstract][Full Text] [Related]
10. Trabecular homogeneity index derived from plain radiograph to evaluate bone quality.
Thevenot J; Hirvasniemi J; Finnilä M; Pulkkinen P; Kuhn V; Link T; Eckstein F; Jämsä T; Saarakkala S
J Bone Miner Res; 2013 Dec; 28(12):2584-91. PubMed ID: 23677814
[TBL] [Abstract][Full Text] [Related]
11. Comparisons of noninvasive bone mineral measurements in assessing age-related loss, fracture discrimination, and diagnostic classification.
Grampp S; Genant HK; Mathur A; Lang P; Jergas M; Takada M; Glüer CC; Lu Y; Chavez M
J Bone Miner Res; 1997 May; 12(5):697-711. PubMed ID: 9144335
[TBL] [Abstract][Full Text] [Related]
12. Dual-energy CT-based phantomless in vivo three-dimensional bone mineral density assessment of the lumbar spine.
Wichmann JL; Booz C; Wesarg S; Kafchitsas K; Bauer RW; Kerl JM; Lehnert T; Vogl TJ; Khan MF
Radiology; 2014 Jun; 271(3):778-84. PubMed ID: 24475863
[TBL] [Abstract][Full Text] [Related]
13. Quantitative computed tomography (QCT) of the forearm using general purpose spiral whole-body CT scanners: accuracy, precision and comparison with dual-energy X-ray absorptiometry (DXA).
Engelke K; Libanati C; Liu Y; Wang H; Austin M; Fuerst T; Stampa B; Timm W; Genant HK
Bone; 2009 Jul; 45(1):110-8. PubMed ID: 19345291
[TBL] [Abstract][Full Text] [Related]
14. Prediction of vertebral and femoral strength in vitro by bone mineral density measured at different skeletal sites.
Cheng XG; Lowet G; Boonen S; Nicholson PH; Van der Perre G; Dequeker J
J Bone Miner Res; 1998 Sep; 13(9):1439-43. PubMed ID: 9738516
[TBL] [Abstract][Full Text] [Related]
15. Mechanical torque measurement for in vivo quantification of bone strength in the proximal femur.
Mueller MA; Hengg C; Hirschmann M; Schmid D; Sprecher C; Audigé L; Suhm N
Injury; 2012 Oct; 43(10):1712-7. PubMed ID: 22795727
[TBL] [Abstract][Full Text] [Related]
16. Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image.
Väänänen SP; Grassi L; Flivik G; Jurvelin JS; Isaksson H
Med Image Anal; 2015 Aug; 24(1):125-134. PubMed ID: 26148575
[TBL] [Abstract][Full Text] [Related]
17. Prediction of the fracture load of whole proximal femur specimens by topological analysis of the mineral distribution in DXA-scan images.
Boehm HF; Horng A; Notohamiprodjo M; Eckstein F; Burklein D; Panteleon A; Lutz J; Reiser M
Bone; 2008 Nov; 43(5):826-31. PubMed ID: 18723137
[TBL] [Abstract][Full Text] [Related]
18. Prediction of vertebral strength in vitro by spinal bone densitometry and calcaneal ultrasound.
Cheng XG; Nicholson PH; Boonen S; Lowet G; Brys P; Aerssens J; Van der Perre G; Dequeker J
J Bone Miner Res; 1997 Oct; 12(10):1721-8. PubMed ID: 9333134
[TBL] [Abstract][Full Text] [Related]
19. Assessment of femoral neck strength by 3-dimensional X-ray absorptiometry.
Le Bras A; Kolta S; Soubrane P; Skalli W; Roux C; Mitton D
J Clin Densitom; 2006; 9(4):425-30. PubMed ID: 17097528
[TBL] [Abstract][Full Text] [Related]
20. Assessment of the individual fracture risk of the proximal femur by using statistical appearance models.
Schuler B; Fritscher KD; Kuhn V; Eckstein F; Link TM; Schubert R
Med Phys; 2010 Jun; 37(6):2560-71. PubMed ID: 20632568
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]