Evidence map›Paper›PMID 24433749›Full record

ArticleUltrasound in medicine & biology2014

Axial transmission method for long bone fracture evaluation by ultrasonic guided waves: simulation, phantom and in vitro experiments.

Kailiang Xu, Dean Ta, Runxin He, Yi-Xian Qin, Weiqi Wang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Quantitative imaging in medicine and surgery · 2021
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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

5 authors at 2 institutions in 2 countries.

Kailiang XuDepartment of Electronic Engineering, Fudan University, Shanghai, China.
Dean TaDepartment of Electronic Engineering, Fudan University, Shanghai, China. Electronic address: tda@fudan.edu.cn.
Runxin HeDepartment of Electronic Engineering, Fudan University, Shanghai, China.
Yi-Xian QinDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
Weiqi WangDepartment of Electronic Engineering, Fudan University, Shanghai, China.
Fudan University · CNStony Brook University · US

Funding

Functional Fluid Flow Regulated Bone RegenerationR01AR061821 · NIAMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI QIN, YI-XIAN · 2012 to 2016
$1.7M
Role of Musculo-Dynamics in Bone Fluid Flow, Circulation and AdaptationR01AR052379 · NIAMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI QIN, YI-XIAN · 2005 to 2009
$1.7M
NIAMS NIH HHS R01 AR052379NIAMS NIH HHS R01 AR061821
6 · The paper itself

Abstract

Mode conversion occurs when the ultrasonic guided waves encounter fractures. The aim of this study was to investigate the feasibility of fracture assessment in long cortical bone using guided-mode conversion. Mode conversion behavior between the fundamental modes S0 and A0 was analyzed. The expressions proposed for modal velocity were used to identify the original and converted modes. Simulations and phantom experiments were performed using 1.0-mm-thick steel plates with a notch width of 0.5 mm and notch depths of 0.2, 0.4, 0.6 and 0.8 mm. Furthermore, in vitro experiments were carried out on nine ovine tibias with 1.0-mm-wide partial transverse gap break and cortical thickness varying from 2.10 to 3.88 mm. The study confirmed that mode conversion gradually becomes observable as fracture depth increases. Energy percentages of the converted modes correlated strongly with fracture depth, as illustrated by the frequency-sweeping experiments on steel phantoms (100-1100 kHz, r(2) = 0.97, p < 0.0069) and the fixed-frequency experiments on nine ovine tibias (250 kHz, r(2) = 0.97, p < 0.0056). The approaches described, including mode excitation, velocity expressions and energy percentage criteria, may also contribute to ultrasonic monitoring of long bone fracture healing.

Indexed as

AlgorithmsModels, BiologicalTrauma Severity IndicesAnimalsComputer SimulationHumansImage EnhancementImage Interpretation, Computer-AssistedPattern Recognition, AutomatedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificitySheepTibial FracturesUltrasonographyEnergy percentagesFracture severity assessmentLong cortical boneMode conversionMode velocityUltrasonic guided waves

Identifiers

PMID24433749
PMCPMC4973576
OpenAlexW2000553875

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.