Evidence map›Paper›PMID 21784189›Full record

ArticleBone2011

Performance of the MRI-based virtual bone biopsy in the distal radius: serial reproducibility and reliability of structural and mechanical parameters in women representative of osteoporosis study populations.

Shing Chun Benny Lam, Michael J Wald, Chamith S Rajapakse, Yinxiao Liu, Punam K Saha, Felix W Wehrli

Open access · greenAbstract read
In one paragraph

Article in Bone, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
  2. Osteoporosis in 10 years time: a glimpse into the future of osteoporosis.Therapeutic advances in musculoskeletal disease · 2022
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Workflow and simulation of image-to-physical registration of holes inside spongy bone.International journal of computer assisted radiology and surgery · 2017
    Review
  8. MRI assessment of bone structure and microarchitecture.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Evaluation of trabecular microarchitecture in nonosteoporotic postmenopausal women with and without fracture.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2012
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Shing Chun Benny LamLaboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA. shinglam@mail.med.upenn.edu
Michael J Wald
Chamith S Rajapakse
Yinxiao Liu
Punam K Saha
Felix W Wehrli
University of Pennsylvania · USEngineering Arts (United States) · US

Funding

Tensor Scale-based Methods for Assessment of Trabecular Bone QualityR01AR054439 · NIAMS · UNIVERSITY OF IOWA · PI SAHA, PUNAM K. · 2009 to 2012
$1.4M
NIAMS NIH HHS R01 AR054439
6 · The paper itself

Abstract

Serial reproducibility and reliability critically determine sensitivity to detect changes in response to intervention and provide a basis for sample size estimates. Here, we evaluated the performance of the MRI-based virtual bone biopsy in terms of 26 structural and mechanical parameters in the distal radius of 20 women in the age range of 50 to 75 years (mean=62.0 years, S.D.=8.1 years), representative of typical study populations in drug intervention trials and fracture studies. Subjects were examined three times at average intervals of 20.2 days (S.D.=14.5 days) by MRI at 1.5 T field strength at a voxel size of 137×137×410 μm(3). Methods involved prospective and retrospective 3D image registration and auto-focus motion correction. Analyses were performed from a central 5×5×5 mm(3) cuboid subvolume and trabecular volume consisting of a 13 mm axial slab encompassing the entire medullary cavity. Whole-volume axial stiffness and sub-regional Young's and shear moduli were computed by finite-element analysis. Whole-volume-derived aggregate mean coefficient of variation of all structural parameters was 4.4% (range 1.8% to 7.7%) and 4.0% for axial stiffness; corresponding data in the subvolume were 6.5% (range 1.6% to 13.0%) for structural, and 5.5% (range 4.6% to 6.5%) for mechanical parameters. Aggregate ICC was 0.976 (range 0.947 to 0.986) and 0.992 for whole-volume-derived structural parameters and axial stiffness, and 0.946 (range 0.752 to 0.991) and 0.974 (range 0.965 to 0.978) for subvolume-derived structural and mechanical parameters, respectively. The strongest predictors of whole-volume axial stiffness were BV/TV, junction density, skeleton density and Tb.N (R(2) 0.79-0.87). The same parameters were also highly predictive of sub-regional axial modulus (R(2) 0.88-0.91). The data suggest that the method is suited for longitudinal assessment of the response to therapy. The underlying technology is portable and should be compatible with all general-purpose MRI scanners, which is appealing considering the very large installed base of this modality.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingUser-Computer InterfaceAgedBiopsyFemaleHumansMiddle AgedOrgan SizeOsteoporosisRadiusReproducibility of Results

Identifiers

PMID21784189
PMCPMC3167016
OpenAlexW2102295861

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.