Evidence map›Paper›PMID 30813465›Full record

ArticleSensors (Basel, Switzerland)2019

Ultrasound Radiation Force for the Assessment of Bone Fracture Healing in Children: An In Vivo Pilot Study.

Siavash Ghavami, Adriana Gregory, Jeremy Webb, Mahdi Bayat, Max Denis, Viksit Kumar, Todd A Milbrand, A Noelle Larson, Mostafa Fatemi, Azra Alizad

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

10 authors.

Siavash GhavamiDepartment of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. roudsari.seyed@mayo.edu.
Adriana GregoryDepartment of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. gregory.adriana@mayo.edu.
Jeremy WebbDepartment of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. webb.jeremy@mayo.edu.
Mahdi BayatDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. mahdi.bayat@case.edu.ORCID 0000-0001-9069-0823
Max DenisDepartment of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. max_f_denis@hotmail.com.
Viksit KumarDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. kumar.viksit@mayo.edu.
Todd A MilbrandDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. Milbrandt.Todd@mayo.edu.
A Noelle LarsonDepartment of Orthopedic Surgery, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. Larson.Noelle@mayo.edu.ORCID 0000-0001-6542-6975
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. fatemi.mostafa@mayo.edu.
Azra AlizadDepartment of Radiology, Mayo Clinic College of Medicine & Science, Rochester, MN 55905, USA. alizad.azra@mayo.edu.ORCID 0000-0002-7658-1572

Funding

Mayo Clinic Ultrasound Center Grant Award 1/2017-1-2018
6 · The paper itself

Abstract

Vibrational characteristics of bone are directly dependent on its physical properties. In this study, a vibrational method for bone evaluation is introduced. We propose a new type of quantitative vibro-acoustic method based on the acoustic radiation force of ultrasound for bone characterization in persons with fracture. Using this method, we excited the clavicle or ulna by an ultrasound radiation force pulse which induces vibrations in the bone, resulting in an acoustic wave that is measured by a hydrophone placed on the skin. The acoustic signals were used for wave velocity estimation based on a cross-correlation technique. To further separate different vibration characteristics, we adopted a variational mode decomposition technique to decompose the received signal into an ensemble of band-limited intrinsic mode functions, allowing analysis of the acoustic signals by their constitutive components. This prospective study included 15 patients: 12 with clavicle fractures and three with ulna fractures. Contralateral intact bones were used as controls. Statistical analysis demonstrated that fractured bones can be differentiated from intact ones with a detection probability of 80%. Additionally, we introduce a "healing factor" to quantify the bone healing progress which successfully tracked the progress of healing in 80% of the clavicle fractures in the study.

Indexed as

AdolescentChildFemaleFracture HealingFractures, BoneHumansMalePilot ProjectsUltrasonographybone fracturebone healingultrasound radiation forcevariational mode decomposition

Identifiers

PMID30813465
PMCPMC6412657

What OpenQuestion holds

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Registered trials

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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.