Evidence map›Paper›PMID 25542490›Full record

ArticleUltrasound in medicine & biology2015

An ultrasound-driven kinematic model for deformation of the infarcted mouse left ventricle incorporating a near-incompressibility constraint.

Dan Lin, Brent A French, Yaqin Xu, John A Hossack, Jeffrey W Holmes

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Dan LinDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Brent A FrenchDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; Department of Medicine, University of Virginia, Charlottesville, VA, USA; Robert M. Berne Cardiovascular Research Center, Charlottesville, VA, USA.
Yaqin XuDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
John A HossackDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA; Robert M. Berne Cardiovascular Research Center, Charlottesville, VA, USA.
Jeffrey W HolmesDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA; Department of Medicine, University of Virginia, Charlottesville, VA, USA; Robert M. Berne Cardiovascular Research Center, Charlottesville, VA, USA. Electronic address: holmes@virginia.edu.
University of Virginia · US

Funding

QUANTITATIVE 3D ULTRASOUND IMAGING OF THE MURINE HEARTR01EB001826 · NIBIB · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI HOSSACK, JOHN A · 2003 to 2012
$2.4M
VisualSonics Vevo 2100 Small Animal Ultrasound Imaging System and AccessoriesS10RR027333 · NCRR · UNIVERSITY OF VIRGINIA · PI HOSSACK, JOHN A · 2010 to 2010
$482k
NCRR NIH HHS RR027333NCRR NIH HHS S10 RR027333NIBIB NIH HHS EB001826NIBIB NIH HHS R01 EB001826
6 · The paper itself

Abstract

Mathematical models of varying complexity have proved useful in fitting and interpreting regional cardiac displacements obtained from imaging methods such as ultrasound speckle tracking or MRI tagging. Simpler models, such as the classic thick-walled cylinder model of the left ventricle (LV), can be solved quickly and are easy to implement, but they ignore regional geometric variations and are difficult to adapt to the study of regional pathologies like myocardial infarctions. Complex, anatomically accurate finite-element models work well, but are computationally intensive and require specialized expertise to implement. We developed a kinematic model that offers a compromise between these two traditional approaches, assuming only that displacements in the left ventricle are polynomial functions of initial position and that the myocardium is nearly incompressible, while allowing myocardial motion to vary spatially as would be expected in an ischemic or dyssynchronous LV. Model parameters were determined using an objective function with adjustable weights to account for confidence in individual displacement components and desired strength of the incompressibility constraint. The model accurately represented the motion of both normal and infarcted mouse LVs during the cardiac cycle, with normalized root mean square errors in predicted deformed positions of 8.2 ± 2.3% and 7.4 ± 2.1% for normal and infarcted hearts, respectively.

Indexed as

AnimalsBiomechanical PhenomenaDisease Models, AnimalHeart VentriclesMaleMiceMice, Inbred C57BLMyocardial InfarctionUltrasonographyHigh frequency ultrasoundIncompressibilityKinematic modelMyocardial infarctionPolynomial function

Identifiers

PMID25542490
PMCPMC4297537
OpenAlexW2123065643

What OpenQuestion holds

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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.