Literature DB >> 17289530

Analyzing cortical bone cross-sectional geometry by peripheral QCT: comparison with bone histomorphometry.

Saija Kontulainen1, Danmei Liu, Sarah Manske, Miranda Jamieson, Harri Sievänen, Heather McKay.   

Abstract

A distinct advantage of peripheral quantitative computed tomography (pQCT) is its ability to assess bone strength by measuring cross-sectional geometry and density of cortical bone. For accurate determination of cortical bone cross-sectional area (CoA), it is important to select the appropriate analysis mode and thresholds. No study has assessed which analysis protocol best represents tibial bone geometry--as determined by histomorphometry. We measured bone geometry from 16 human cadaver tibiae (mean age 74 [SD 6] yr) with pQCT (XCT 2000) at the 25% site, measured proximally from the distal tibia plafond. We conducted histomorphometry at the same site as the criterion standard. Scans were analyzed using modes and thresholds recommended by the manufacturer (Norland Stratec Medizintechnic GmbH, Pforzheim, Germany). We also investigated agreement of two additional thresholds (calculated by half-maximum height and inflection point methods) to define the endosteal border of cortical bone. Compared to the criterion, the smallest error (-1.0%, p=0.002) in total cross-sectional area (ToA) was obtained using Contour mode 3 with an outer threshold of 169 mg/cm(3). The smallest error (0.1%, NS) in CoA was obtained with Separation mode 4 (outer threshold 200mg/cm(3), inner threshold 670 mg/cm(3)). CoA was overestimated by 5-7% (p<0.001) from the criterion when an inner threshold of 480 mg/cm(3) was used in combination with any of the recommended outer thresholds. pQCT measurements of bone geometry in vitro vary to some extent between modes and thresholds selected. The effect of variation in bone geometry measurements on the predictive ability of bone strength indices derived from CoA needs to be assessed.

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Year:  2007        PMID: 17289530     DOI: 10.1016/j.jocd.2006.07.007

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  10 in total

1.  A comparison of conventional maximum intensity projection with a new depth-specific topographic mapping technique in the CT analysis of proximal tibial subchondral bone density.

Authors:  James D Johnston; Saija A Kontulainen; Bassam A Masri; David R Wilson
Journal:  Skeletal Radiol       Date:  2009-11-22       Impact factor: 2.199

2.  Seventy-year-old habitual volleyball players have larger tibial cross-sectional area and may be differentiated from their age-matched peers by the osteogenic index in dynamic performance.

Authors:  T Rantalainen; V Linnamo; P V Komi; H Selänne; A Heinonen
Journal:  Eur J Appl Physiol       Date:  2010-02-27       Impact factor: 3.078

3.  Fracture risk in children with a forearm injury is associated with volumetric bone density and cortical area (by peripheral QCT) and areal bone density (by DXA).

Authors:  H J Kalkwarf; T Laor; J A Bean
Journal:  Osteoporos Int       Date:  2010-06-23       Impact factor: 4.507

4.  In vivo precision of a depth-specific topographic mapping technique in the CT analysis of osteoarthritic and normal proximal tibial subchondral bone density.

Authors:  James D Johnston; Christine E McLennan; David J Hunter; David R Wilson
Journal:  Skeletal Radiol       Date:  2010-09-03       Impact factor: 2.199

Review 5.  Fracture risk assessment in patients with chronic kidney disease.

Authors:  S A Jamal; S L West; P D Miller
Journal:  Osteoporos Int       Date:  2011-09-08       Impact factor: 4.507

6.  Regional depth-specific subchondral bone density measures in osteoarthritic and normal patellae: in vivo precision and preliminary comparisons.

Authors:  W D Burnett; S A Kontulainen; C E McLennan; D J Hunter; D R Wilson; J D Johnston
Journal:  Osteoporos Int       Date:  2013-11-13       Impact factor: 4.507

7.  Tibial geometry is associated with failure load ex vivo: a MRI, pQCT and DXA study.

Authors:  D Liu; S L Manske; S A Kontulainen; C Tang; P Guy; T R Oxland; H A McKay
Journal:  Osteoporos Int       Date:  2007-02-01       Impact factor: 5.071

8.  Mechanical Metrics of the Proximal Tibia are Precise and Differentiate Osteoarthritic and Normal Knees: A Finite Element Study.

Authors:  Hanieh Arjmand; Majid Nazemi; Saija A Kontulainen; Christine E McLennan; David J Hunter; David R Wilson; James D Johnston
Journal:  Sci Rep       Date:  2018-07-31       Impact factor: 4.379

9.  pQCT bone geometry and strength: population epidemiology and concordance in Australian children aged 11-12 years and their parents.

Authors:  Jennifer Vlok; Peter J Simm; Kate Lycett; Susan A Clifford; Anneke C Grobler; Katherine Lange; Najmi Ismail; William Osborn; Melissa Wake
Journal:  BMJ Open       Date:  2019-07-04       Impact factor: 2.692

10.  Patella bone density is lower in knee osteoarthritis patients experiencing moderate-to-severe pain at rest.

Authors:  W Burnett; S Kontulainen; C McLennan; D Hazel; C Talmo; D Hunter; D Wilson; J Johnston
Journal:  J Musculoskelet Neuronal Interact       Date:  2016-03       Impact factor: 2.041

  10 in total

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