Literature DB >> 26293682

Association between bone indices assessed by DXA, HR-pQCT and QCT scans in post-menopausal women.

Anne Kristine Amstrup1, Niels Frederik Breum Jakobsen2, Emil Moser2, Tanja Sikjaer2, Leif Mosekilde2, Lars Rejnmark2.   

Abstract

Quantitative computed tomography (QCT), high-resolution peripheral QCT (HR-pQCT) and dual X-ray absorptiometry (DXA) scans are commonly used when assessing bone mass and structure in patients with osteoporosis. Depending on the imaging technique and measuring site, different information on bone quality is obtained. How well these techniques correlate when assessing central as well as distal skeletal sites has not been carefully assessed to date. One hundred and twenty-five post-menopausal women aged 56-82 (mean 63) years were studied using DXA scans (spine, hip, whole body and forearm), including trabecular bone score (TBS), QCT scans (spine and hip) and HR-pQCT scans (distal radius and tibia). Central site measurements of areal bone mineral density (aBMD) by DXA and volumetric BMD (vBMD) by QCT correlated significantly at the hip (r = 0.74, p < 0.01). Distal site measurements of density at the radius as assessed by DXA and HR-pQCT were also associated (r = 0.74, p < 0.01). Correlations between distal and central site measurements of the hip and of the tibia and radius showed weak to moderate correlation between vBMD by HR-pQCT and QCT (r = -0.27 to 0.54). TBS correlated with QCT at the lumbar spine (r = 0.35) and to trabecular indices of HR-pQCT at the radius and tibia (r = -0.16 to 0.31, p < 0.01). There was moderate to strong agreement between measuring techniques when assessing the same skeletal site. However, when assessing correlations between central and distal sites, the associations were only weak to moderate. Our data suggest that the various techniques measure different characteristics of the bone, and may therefore be used in addition to rather than as a replacment for imaging in clinical practice.

Entities:  

Keywords:  DXA; HR-pQCT; QCT; aBMD; vBMD

Mesh:

Year:  2015        PMID: 26293682     DOI: 10.1007/s00774-015-0708-9

Source DB:  PubMed          Journal:  J Bone Miner Metab        ISSN: 0914-8779            Impact factor:   2.626


  28 in total

1.  In vivo determination of bone structure in postmenopausal women: a comparison of HR-pQCT and high-field MR imaging.

Authors:  Galateia J Kazakia; Benedict Hyun; Andrew J Burghardt; Roland Krug; David C Newitt; Anne E de Papp; Thomas M Link; Sharmila Majumdar
Journal:  J Bone Miner Res       Date:  2008-04       Impact factor: 6.741

2.  Correlations between grey-level variations in 2D projection images (TBS) and 3D microarchitecture: applications in the study of human trabecular bone microarchitecture.

Authors:  Laurent Pothuaud; Pascal Carceller; Didier Hans
Journal:  Bone       Date:  2008-01-29       Impact factor: 4.398

3.  In vivo high resolution 3D-QCT of the human forearm.

Authors:  A Laib; H J Häuselmann; P Rüegsegger
Journal:  Technol Health Care       Date:  1998-12       Impact factor: 1.285

4.  Differential effects of menopause and metabolic disease on trabecular and cortical bone assessed by peripheral quantitative computed tomography (pQCT).

Authors:  K Tsurusaki; M Ito; K Hayashi
Journal:  Br J Radiol       Date:  2000-01       Impact factor: 3.039

5.  Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W Browner; J Cauley; K Ensrud; H K Genant; L Palermo; J Scott; T M Vogt
Journal:  Lancet       Date:  1993-01-09       Impact factor: 79.321

6.  Central QCT reveals lower volumetric BMD and stiffness in premenopausal women with idiopathic osteoporosis, regardless of fracture history.

Authors:  Adi Cohen; Thomas F Lang; Donald J McMahon; X Sherry Liu; X Edward Guo; Chiyuan Zhang; Emily M Stein; David W Dempster; Polly Young; Isra Saeed; Joan M Lappe; Robert R Recker; Elizabeth Shane
Journal:  J Clin Endocrinol Metab       Date:  2012-09-07       Impact factor: 5.958

7.  Pelvic body composition measurements by quantitative computed tomography: association with recent hip fracture.

Authors:  T Lang; A Koyama; C Li; J Li; Y Lu; I Saeed; E Gazze; J Keyak; T Harris; X Cheng
Journal:  Bone       Date:  2008-01-30       Impact factor: 4.398

8.  Comparison of QCT-derived and DXA-derived areal bone mineral density and T scores.

Authors:  B C C Khoo; K Brown; C Cann; K Zhu; S Henzell; V Low; S Gustafsson; R I Price; R L Prince
Journal:  Osteoporos Int       Date:  2008-12-24       Impact factor: 4.507

9.  A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men.

Authors:  B Lawrence Riggs; L Joseph Melton; Richard A Robb; Jon J Camp; Elizabeth J Atkinson; Lisa McDaniel; Shreyasee Amin; Peggy A Rouleau; Sundeep Khosla
Journal:  J Bone Miner Res       Date:  2008-02       Impact factor: 6.741

10.  Effects of odanacatib on the radius and tibia of postmenopausal women: improvements in bone geometry, microarchitecture, and estimated bone strength.

Authors:  Angela M Cheung; Sharmila Majumdar; Kim Brixen; Roland Chapurlat; Thomas Fuerst; Klaus Engelke; Bernard Dardzinski; Antonio Cabal; Nadia Verbruggen; Shabana Ather; Elizabeth Rosenberg; Anne E de Papp
Journal:  J Bone Miner Res       Date:  2014-08       Impact factor: 6.741

View more
  24 in total

1.  Cortical microstructure compensates for smaller bone size in young Caribbean Hispanic versus non-Hispanic white men.

Authors:  M D Walker; A Kepley; K Nishiyama; B Zhou; E Guo; T L Nickolas
Journal:  Osteoporos Int       Date:  2017-03-24       Impact factor: 4.507

Review 2.  Clinical Evaluation of Bone Strength and Fracture Risk.

Authors:  Chantal M J de Bakker; Wei-Ju Tseng; Yihan Li; Hongbo Zhao; X Sherry Liu
Journal:  Curr Osteoporos Rep       Date:  2017-02       Impact factor: 5.096

3.  Osteoporosis Imaging in the Geriatric Patient.

Authors:  Ursula Heilmeier; Jiwon Youm; Soheyla Torabi; Thomas M Link
Journal:  Curr Radiol Rep       Date:  2016-02-15

4.  Water proton density in human cortical bone obtained from ultrashort echo time (UTE) MRI predicts bone microstructural properties.

Authors:  Saeed Jerban; Yajun Ma; Hyungseok Jang; Behnam Namiranian; Nicole Le; Hoda Shirazian; Mark E Murphy; Jiang Du; Eric Y Chang
Journal:  Magn Reson Imaging       Date:  2020-01-10       Impact factor: 2.546

Review 5.  Diabetes and disordered bone metabolism (diabetic osteodystrophy): time for recognition.

Authors:  S Epstein; G Defeudis; S Manfrini; N Napoli; P Pozzilli
Journal:  Osteoporos Int       Date:  2016-03-15       Impact factor: 4.507

6.  Trabecular bone score and transilial bone trabecular histomorphometry in type 1 diabetes and healthy controls.

Authors:  Thiyagarajan Thangavelu; Emily Silverman; Mohammed P Akhter; Elizabeth Lyden; Robert R Recker; Laura A Graeff-Armas
Journal:  Bone       Date:  2020-05-22       Impact factor: 4.398

7.  Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts.

Authors:  Amanda R Hale; Ann H Ross
Journal:  J Vis Exp       Date:  2018-01-29       Impact factor: 1.355

8.  Biopsy vs. peripheral computed tomography to assess bone disease in CKD patients on dialysis: differences and similarities.

Authors:  I D B Marques; M J C L N Araújo; F G Graciolli; L M Dos Reis; R M Pereira; M R Custódio; V Jorgetti; R M Elias; E David-Neto; R M A Moysés
Journal:  Osteoporos Int       Date:  2017-02-16       Impact factor: 4.507

9.  High-resolution Quantitative Computed Tomography Demonstrates Structural Defects in Cortical and Trabecular Bone in IBD Patients.

Authors:  Judith Haschka; Simon Hirschmann; Arnd Kleyer; Matthias Englbrecht; Francesca Faustini; David Simon; Camille P Figueiredo; Louis Schuster; Christian Muschitz; Roland Kocijan; Heinrich Resch; Raja Atreya; Jürgen Rech; Markus F Neurath; Georg Schett
Journal:  J Crohns Colitis       Date:  2016-01-27       Impact factor: 9.071

10.  Correlations of cortical bone microstructural and mechanical properties with water proton fractions obtained from ultrashort echo time (UTE) MRI tricomponent T2* model.

Authors:  Saeed Jerban; Xing Lu; Erik W Dorthe; Salem Alenezi; Yajun Ma; Lena Kakos; Hyungseok Jang; Robert L Sah; Eric Y Chang; Darryl D'Lima; Jiang Du
Journal:  NMR Biomed       Date:  2019-12-10       Impact factor: 4.044

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.