These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
298 related articles for article (PubMed ID: 22297732)
1. Bone mineral density by DXA and HR pQCT can discriminate fracture status in men and women with stages 3 to 5 chronic kidney disease. Jamal S; Cheung AM; West S; Lok C Osteoporos Int; 2012 Dec; 23(12):2805-13. PubMed ID: 22297732 [TBL] [Abstract][Full Text] [Related]
2. The clinical utility of FRAX to discriminate fracture status in men and women with chronic kidney disease. Jamal SA; West SL; Nickolas TL Osteoporos Int; 2014 Jan; 25(1):71-6. PubMed ID: 24114399 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Women with previous fragility fractures can be classified based on bone microarchitecture and finite element analysis measured with HR-pQCT. Nishiyama KK; Macdonald HM; Hanley DA; Boyd SK Osteoporos Int; 2013 May; 24(5):1733-40. PubMed ID: 23179565 [TBL] [Abstract][Full Text] [Related]
5. Low bone mineral density and fractures in stages 3-5 CKD: an updated systematic review and meta-analysis. Bucur RC; Panjwani DD; Turner L; Rader T; West SL; Jamal SA Osteoporos Int; 2015 Feb; 26(2):449-58. PubMed ID: 25477230 [TBL] [Abstract][Full Text] [Related]
6. Performance of HR-pQCT, DXA, and FRAX in the discrimination of asymptomatic vertebral fracture in postmenopausal Chinese women. Huang M; Hung VW; Li TK; Law SW; Wang Y; Chen S; Qin L Arch Osteoporos; 2021 Sep; 16(1):125. PubMed ID: 34480663 [TBL] [Abstract][Full Text] [Related]
7. Bone mineral density predicts fractures in chronic kidney disease. West SL; Lok CE; Langsetmo L; Cheung AM; Szabo E; Pearce D; Fusaro M; Wald R; Weinstein J; Jamal SA J Bone Miner Res; 2015 May; 30(5):913-9. PubMed ID: 25400209 [TBL] [Abstract][Full Text] [Related]
8. Use of dual energy X-ray absorptiometry, the trabecular bone score and quantitative computed tomography in the evaluation of chronic kidney disease-mineral and bone disorders. Pocock N Nephrology (Carlton); 2017 Mar; 22 Suppl 2():19-21. PubMed ID: 28429557 [TBL] [Abstract][Full Text] [Related]
9. Biopsy vs. peripheral computed tomography to assess bone disease in CKD patients on dialysis: differences and similarities. Marques ID; Araújo MJ; Graciolli FG; Reis LM; Pereira RM; Custódio MR; Jorgetti V; Elias RM; David-Neto E; Moysés RM Osteoporos Int; 2017 May; 28(5):1675-1683. PubMed ID: 28204954 [TBL] [Abstract][Full Text] [Related]
10. The discriminatory capacity of BMD measurements by DXA and dual X-ray and laser (DXL) at the calcaneus including clinical risk factors for detecting patients with vertebral fractures. Muschitz C; Dimai HP; Kocijan R; Kaider A; Zendeli A; Kühne F; Trubrich A; Lung S; Waneck R; Resch H Osteoporos Int; 2013 Aug; 24(8):2181-90. PubMed ID: 23344258 [TBL] [Abstract][Full Text] [Related]
11. The use of bone mineral density measured by dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed microtomography in chronic kidney disease. Jannot M; Mac-Way F; Lapierre V; Lafage-Proust MH J Nephrol; 2017 Oct; 30(5):635-643. PubMed ID: 28900872 [TBL] [Abstract][Full Text] [Related]
12. Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography. Burghardt AJ; Kazakia GJ; Link TM; Majumdar S Osteoporos Int; 2009 Dec; 20(12):2017-24. PubMed ID: 19330422 [TBL] [Abstract][Full Text] [Related]
13. Assessment of the skeletal status by peripheral quantitative computed tomography of the forearm: short-term precision in vivo and comparison to dual X-ray absorptiometry. Grampp S; Lang P; Jergas M; Glüer CC; Mathur A; Engelke K; Genant HK J Bone Miner Res; 1995 Oct; 10(10):1566-76. PubMed ID: 8686514 [TBL] [Abstract][Full Text] [Related]
14. Utilization of DXA Bone Mineral Densitometry in Ontario: An Evidence-Based Analysis. Medical Advisory Secretariat Ont Health Technol Assess Ser; 2006; 6(20):1-180. PubMed ID: 23074491 [TBL] [Abstract][Full Text] [Related]
15. Associations between radius low-frequency axial ultrasound velocity and bone fragility in elderly men and women. Biver E; Pepe J; de Sire A; Chevalley T; Ferrari S Osteoporos Int; 2019 Feb; 30(2):411-421. PubMed ID: 30306224 [TBL] [Abstract][Full Text] [Related]
16. Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors. Lu S; Fuggle NR; Westbury LD; Ó Breasail M; Bevilacqua G; Ward KA; Dennison EM; Mahmoodi S; Niranjan M; Cooper C Bone; 2023 Mar; 168():116653. PubMed ID: 36581259 [TBL] [Abstract][Full Text] [Related]
17. Cortical porosity not superior to conventional densitometry in identifying hemodialysis patients with fragility fracture. Bielesz B; Patsch JM; Fischer L; Bojic M; Winnicki W; Weber M; Cejka D PLoS One; 2017; 12(2):e0171873. PubMed ID: 28199411 [TBL] [Abstract][Full Text] [Related]
18. Association of renal function with bone mineral density and fracture risk in the Longitudinal Aging Study Amsterdam. Chen H; Lips P; Vervloet MG; van Schoor NM; de Jongh RT Osteoporos Int; 2018 Sep; 29(9):2129-2138. PubMed ID: 29947873 [TBL] [Abstract][Full Text] [Related]
19. Comparative assessment of bone mineral measurements using dual X-ray absorptiometry and peripheral quantitative computed tomography. Formica CA; Nieves JW; Cosman F; Garrett P; Lindsay R Osteoporos Int; 1998; 8(5):460-7. PubMed ID: 9850355 [TBL] [Abstract][Full Text] [Related]
20. Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study. Samelson EJ; Broe KE; Xu H; Yang L; Boyd S; Biver E; Szulc P; Adachi J; Amin S; Atkinson E; Berger C; Burt L; Chapurlat R; Chevalley T; Ferrari S; Goltzman D; Hanley DA; Hannan MT; Khosla S; Liu CT; Lorentzon M; Mellstrom D; Merle B; Nethander M; Rizzoli R; Sornay-Rendu E; Van Rietbergen B; Sundh D; Wong AKO; Ohlsson C; Demissie S; Kiel DP; Bouxsein ML Lancet Diabetes Endocrinol; 2019 Jan; 7(1):34-43. PubMed ID: 30503163 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]