Evidence map›Paper›PMID 33400643›Full record

ArticleIEEE transactions on bio-medical engineering2021

Detection of Meniscal Tear Effects on Tibial Vibration Using Passive Knee Sound Measurements.

Goktug C Ozmen, Mohsen Safaei, Beren Semiz, Daniel C Whittingslow, Jennifer L Hunnicutt, Sampath Prahalad, Regina Hash, John W Xerogeanes, Omer T Inan

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2021. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamics of plosive consonants via imaging, computations, and soft electronics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. A Feasibility Study on Tribological Origins of Knee Acoustic Emissions.IEEE transactions on bio-medical engineering · 2022
    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

9 authors.

Goktug C Ozmen
Mohsen Safaei
Beren Semiz
Daniel C Whittingslow
Jennifer L Hunnicutt
Sampath Prahalad
Regina Hash
John W Xerogeanes
Omer T Inan

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
Wearable lung sounds, fluid, and body temperature monitoring for patients with COVID-19R01EB023808 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI INAN, OMER TOLGA · 2016 to 2020
$2.2M
NIBIB NIH HHS R01 EB023808NIGMS NIH HHS T32 GM008169
6 · The paper itself

Abstract

objectiveTo evaluate whether non-invasive knee sound measurements can provide information related to the underlying structural changes in the knee following meniscal tear. These changes are explained using an equivalent vibrational model of the knee-tibia structure.

methodsFirst, we formed an analytical model by modeling the tibia as a cantilever beam with the fixed end being the knee. The knee end was supported by three lumped components with features corresponding with tibial stiffnesses, and meniscal damping effect. Second, we recorded knee sounds from 46 healthy legs and 9 legs with acute meniscal tears (n = 34 subjects). We developed an acoustic event ("click") detection algorithm to find patterns in the recordings, and used the instrumental variable continuous-time transfer function estimation algorithm to model them.

resultsThe knee sound measurements yielded consistently lower fundamental mode decay rate in legs with meniscal tears ( 16 ±13 s SIGNIFICANCE: This combined analytical and experimental method improves our understanding of how vibrations can describe the underlying structural changes in the knee following meniscal tear, and supports their use as a tool for future efforts in non-invasively diagnosing meniscal tear injuries.

Indexed as

Knee InjuriesVibrationHumansKnee JointMagnetic Resonance ImagingTibiaUltrasonography

Identifiers

PMID33400643
PMCPMC8284919

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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.