Evidence map›Paper›PMID 29450409›Full record

ArticleFunctional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference)2017

Microstructurally Anchored Cardiac Kinematics by Combining

Luigi E Perotti, Patrick Magrath, Ilya A Verzhbinsky, Eric Aliotta, Kévin Moulin, Daniel B Ennis

Abstract read
In one paragraph

Article in Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Myofiber strain in healthy humans using DENSE and cDTI.Magnetic resonance in medicine · 2021
    Article
  5. Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2021
    Article
  6. Article
  7. Article
  8. Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2019
    Article
  9. Imaging the Microstructure of the Human Fetal Heart.Circulation. Cardiovascular imaging · 2018
    Article
  10. TIME RESOLVED DISPLACEMENT-BASED REGISTRATION OFProceedings. IEEE International Symposium on Biomedical Imaging · 2018
    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

6 authors.

Luigi E PerottiDepartment of Radiological Sciences, University of California, Los Angeles, USA.
Patrick MagrathDepartment of Radiological Sciences, University of California, Los Angeles, USA.
Ilya A VerzhbinskyDepartment of Radiological Sciences, University of California, Los Angeles, USA.
Eric AliottaDepartment of Radiological Sciences, University of California, Los Angeles, USA.
Kévin MoulinDepartment of Radiological Sciences, University of California, Los Angeles, USA.
Daniel B EnnisDepartment of Radiological Sciences, University of California, Los Angeles, USA.

Funding

UCLA Muscular Dystrophy Core CenterP30AR057230 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SPENCER, MELISSA JAN · 2009 to 2018
$6.2M
Validating Cardiac MRI Biomarkers and Genotype-Phenotype Correlations for DMDR01HL131975 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2016 to 2019
$2.5M
A New Framework for Understanding the Mechanisms of Diastolic DysfunctionR01HL131823 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENNIS, DANIEL B · 2017 to 2020
$2.3M
Defining and Measuring Diastolic Myocardial Kinematics and StiffnessK25HL135408 · NHLBI · UNIVERSITY OF CENTRAL FLORIDA · PI PEROTTI, LUIGI EMANUELE · 2017 to 2019
$494k
NHLBI NIH HHS K25 HL135408NHLBI NIH HHS R01 HL131823NHLBI NIH HHS R01 HL131975NIAMS NIH HHS P30 AR057230
6 · The paper itself

Abstract

Metrics of regional myocardial function can detect the onset of cardiovascular disease, evaluate the response to therapy, and provide mechanistic insight into cardiac dysfunction. Knowledge of local myocardial microstructure is necessary to distinguish between isotropic and anisotropic contributions of local deformation and to quantify myofiber kinematics, a microstructurally anchored measure of cardiac function. Using a computational model we combine

Indexed as

Cardiac deformation invariantsCardiac kinematicsDiffusion tensor imagingMyofiber strain

Identifiers

PMID29450409
PMCPMC5808941

What OpenQuestion holds

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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.