Evidence map›Paper›PMID 35480340›Full record

ArticleFluids (Basel, Switzerland)2022

Subject-Specific Computational Fluid-Structure Interaction Modeling of Rabbit Vocal Fold Vibration.

Amit Avhad, Zheng Li, Azure Wilson, Lea Sayce, Siyuan Chang, Bernard Rousseau, Haoxiang Luo

Open access · goldAbstract read
In one paragraph

Article in Fluids (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Amit AvhadDepartment of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.
Zheng LiDepartment of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.ORCID 0000-0002-0132-8812
Azure WilsonDepartment of Communication Science and Disorders, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.
Lea SayceDepartment of Communication Science and Disorders, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.
Siyuan ChangDepartment of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.ORCID 0000-0002-9211-005X
Bernard RousseauDepartment of Communication Science and Disorders, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.
Haoxiang LuoDepartment of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.
Vanderbilt University · USUniversity of Pittsburgh · US

Funding

NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Development of a Patient-Specific Surgical Planning Tool for Type I LaryngoplastyR01DC016236 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COYLE, JAMES L · 2018 to 2022
$2.4M
NCATS NIH HHS TL1 TR001858NIDCD NIH HHS R01 DC016236
6 · The paper itself

Abstract

A full three-dimensional (3D) fluid-structure interaction (FSI) study of subject-specific vocal fold vibration is carried out based on the previously reconstructed vocal fold models of rabbit larynges. Our primary focuses are the vibration characteristics of the vocal fold, the unsteady 3D flow field, and comparison with a recently developed 1D glottal flow model that incorporates machine learning. The 3D FSI model applies strong coupling between the finite-element model for the vocal fold tissue and the incompressible Navier-Stokes equation for the flow. Five different samples of the rabbit larynx, reconstructed from the magnetic resonance imaging (MRI) scans after the in vivo phonation experiments, are used in the FSI simulation. These samples have distinct geometries and a different inlet pressure measured in the experiment. Furthermore, the material properties of the vocal fold tissue were determined previously for each individual sample. The results demonstrate that the vibration and the intraglottal pressure from the 3D flow simulation agree well with those from the 1D flow model based simulation. Further 3D analyses show that the inferior and supraglottal geometries play significant roles in the FSI process. Similarity of the flow pattern with the human vocal fold is discussed. This study supports the effective usage of rabbit larynges to understand human phonation and will help guide our future computational studies that address vocal fold disorders.

Indexed as

3D modelbiomechanicsfluid-structure interactionphonationsubject-specific modelvocal fold vibration

Identifiers

PMID35480340
PMCPMC9040707
OpenAlexW4220787294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.