Evidence map›Paper›PMID 26328678›Full record

ArticleThe Journal of the Acoustical Society of America2015

Conventional, Bayesian, and Modified Prony's methods for characterizing fast and slow waves in equine cancellous bone.

Amber M Groopman, Jonathan I Katz, Mark R Holland, Fuminori Fujita, Mami Matsukawa, Katsunori Mizuno, Keith A Wear, James G Miller

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of the Acoustical Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Ultrasonic Assessment of Cancellous Bone Based on the Two-Wave Phenomenon.Advances in experimental medicine and biology · 2022
    Article
  2. Scattering in Cancellous Bone.Advances in experimental medicine and biology · 2022
    Article
  3. Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    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

8 authors at 5 institutions in 2 countries.

Amber M GroopmanDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA.
Jonathan I KatzDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA.
Mark R HollandDepartment of Radiology and Imaging Sciences, Indiana University-Purdue University School of Medicine, Indianapolis, Indiana 46202, USA.
Fuminori FujitaLaboratory of Ultrasonic Electronics, Research Center for Wave Electronics, Doshisha University, Kyotanabe, 610-0321 Kyoto, Japan.
Mami MatsukawaLaboratory of Ultrasonic Electronics, Research Center for Wave Electronics, Doshisha University, Kyotanabe, 610-0321 Kyoto, Japan.
Katsunori MizunoUnderwater Technology Research Center, The University of Tokyo, Meguro-ku, Tokyo 153-8505, Japan.
Keith A WearCenter for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland 20993, USA.
James G MillerDepartment of Physics, Washington University in St. Louis, St. Louis, Missouri 63130, USA.
Washington University in St. Louis · USDoshisha University · JPCenter for Devices and Radiological Health · USIndiana University – Purdue University Indianapolis · USThe University of Tokyo · JP

Funding

COMPENSATING FOR ANISOTROPY IN MYOCARDIAL ULTRASOUNDR01HL040302 · NHLBI · WASHINGTON UNIVERSITY · PI MILLER, JAMES GEGAN · 1988 to 2011
$1.4M
Enhancing Bone Quality Assessment Using Quantitative UltrasoundR01AR057433 · NIAMS · WASHINGTON UNIVERSITY · PI MILLER, JAMES GEGAN · 2009 to 2012
$1.3M
NHLBI NIH HHS R01 HL040302NIAMS NIH HHS R01 AR057433
6 · The paper itself

Abstract

Conventional, Bayesian, and the modified least-squares Prony's plus curve-fitting (MLSP + CF) methods were applied to data acquired using 1 MHz center frequency, broadband transducers on a single equine cancellous bone specimen that was systematically shortened from 11.8 mm down to 0.5 mm for a total of 24 sample thicknesses. Due to overlapping fast and slow waves, conventional analysis methods were restricted to data from sample thicknesses ranging from 11.8 mm to 6.0 mm. In contrast, Bayesian and MLSP + CF methods successfully separated fast and slow waves and provided reliable estimates of the ultrasonic properties of fast and slow waves for sample thicknesses ranging from 11.8 mm down to 3.5 mm. Comparisons of the three methods were carried out for phase velocity at the center frequency and the slope of the attenuation coefficient for the fast and slow waves. Good agreement among the three methods was also observed for average signal loss at the center frequency. The Bayesian and MLSP + CF approaches were able to separate the fast and slow waves and provide good estimates of the fast and slow wave properties even when the two wave modes overlapped in both time and frequency domains making conventional analysis methods unreliable.

Indexed as

Bayes TheoremLeast-Squares AnalysisAcousticsAlgorithmsAnimalsBone ConductionHorsesPorosityRadio WavesRadiusSoundUltrasonics

Identifiers

PMID26328678
PMCPMC4529434
OpenAlexW1537970444

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.