Evidence map›Paper›PMID 21110589›Full record

ArticleThe Journal of the Acoustical Society of America2010

Inverse problems in cancellous bone: estimation of the ultrasonic properties of fast and slow waves using Bayesian probability theory.

Christian C Anderson, Adam Q Bauer, Mark R Holland, Michal Pakula, Pascal Laugier, G Larry Bretthorst, James G Miller

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Review
  2. Article
  3. Predicting Structural Properties of Cortical Bone by Combining Ultrasonic Attenuation and an Artificial Neural Network (ANN): 2-D FDTD Study.Image Analysis and Recognition: International Conference, ICIAR ... : proceedings. ICIAR · 2019
    Article
  4. Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2018
    Article
  5. Article
  6. Article
  7. Attenuated Fractional Wave Equations With Anisotropy.Journal of vibration and acoustics · 2014
    Article
  8. Article
  9. Ultrasound to assess bone quality.Current osteoporosis reports · 2014
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. New perspectives in echographic diagnosis of osteoporosis on hip and spine.Clinical cases in mineral and bone metabolism : the official journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal Diseases
    Review
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

7 authors.

Christian C AndersonDepartment of Physics, Washington University in St Louis, St Louis, Missouri 63130, USA.
Adam Q Bauer
Mark R Holland
Michal Pakula
Pascal Laugier
G Larry Bretthorst
James G Miller

Funding

Enhancing Bone Quality Assessment Using Quantitative UltrasoundR01AR057433 · NIAMS · WASHINGTON UNIVERSITY · PI MILLER, JAMES GEGAN · 2009 to 2012
$1.3M
NIAMS NIH HHS R01 AR057433NIAMS NIH HHS R01-AR057433
6 · The paper itself

Abstract

Quantitative ultrasonic characterization of cancellous bone can be complicated by artifacts introduced by analyzing acquired data consisting of two propagating waves (a fast wave and a slow wave) as if only one wave were present. Recovering the ultrasonic properties of overlapping fast and slow waves could therefore lead to enhancement of bone quality assessment. The current study uses Bayesian probability theory to estimate phase velocity and normalized broadband ultrasonic attenuation (nBUA) parameters in a model of fast and slow wave propagation. Calculations are carried out using Markov chain Monte Carlo with simulated annealing to approximate the marginal posterior probability densities for parameters in the model. The technique is applied to simulated data, to data acquired on two phantoms capable of generating two waves in acquired signals, and to data acquired on a human femur condyle specimen. The models are in good agreement with both the simulated and experimental data, and the values of the estimated ultrasonic parameters fall within expected ranges.

Indexed as

Models, BiologicalArtifactsBayes TheoremBone and BonesBone DensityHumansMarkov ChainsMonte Carlo MethodPhantoms, ImagingUltrasonicsUltrasonography

Identifiers

PMID21110589
PMCPMC3003723

What OpenQuestion holds

Textmetadata
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.