Evidence map›Paper›PMID 32231584›Full record

ArticleFrontiers in physiology2020

A Novel MRI-Based Finite Element Modeling Method for Calculation of Myocardial Ischemia Effect in Patients With Functional Mitral Regurgitation.

Yue Zhang, Vicky Y Wang, Ashley E Morgan, Jiwon Kim, Liang Ge, Julius M Guccione, Jonathan W Weinsaft, Mark B Ratcliffe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yue ZhangSan Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
Vicky Y WangSan Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
Ashley E MorganDepartment of Surgery, University of California, San Francisco, San Francisco, CA, United States.
Jiwon KimDepartment of Medicine, Weill Cornell Medicine, New York, NY, United States.
Liang GeSan Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
Julius M GuccioneSan Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
Jonathan W WeinsaftDepartment of Medicine, Weill Cornell Medicine, New York, NY, United States.
Mark B RatcliffeSan Francisco Veterans Affairs Medical Center, San Francisco, CA, United States.
University of California, San Francisco · USCornell University · USSan Francisco VA Medical Center · US

Funding

QUANTITATIVE ANALYSIS OF LEFT VENTRICULPLASTY--CHFR01HL063348 · NHLBI · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI RATCLIFFE, MARK B · 2000 to 2017
$6.8M
CMR Myocardial Tissue Based Prediction of Ischemic MR Revascularization ResponseR01HL128278 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI WEINSAFT, JONATHAN W. · 2015 to 2019
$3.8M
NHLBI NIH HHS R01 HL063348NHLBI NIH HHS R01 HL128278
6 · The paper itself

Abstract

backgroundFunctional Mitral Regurgitation (FMR) associated with coronary artery disease affects nearly 3 million patients in the United States. Both myocardial infarction (MI) and ischemia contribute to FMR development but uncertainty as to which patients will respond to revascularization (REVASC) of ischemia alone prevents rational decision making about FMR therapy. The aim of this study was to create patient-specific cardiac MRI (CMR) informed finite element (FE) models of the left ventricle (LV), calculate regional LV systolic contractility and then use optimized systolic material properties to simulate the effect of revascularization (virtual REVASC).

methodsWe describe a novel FE method able to predict the effect of myocardial ischemia on regional LV function. CMR was obtained in five patients with multi-vessel coronary disease and FMR before and 3 months after percutaneous REVASC and a single healthy volunteer. Patient-specific FE models were created and divided into 17 sectors where the systolic contractility parameter,

resultsThe FE optimization successfully converged with good agreement between calculated and experimental end-systolic strain and LV volumes. Specifically, the optimized

conclusionWe developed a novel computational method able to predict the effect of myocardial ischemia in patients with FMR. This method can be used to predict the effect of ischemia on the regional myocardium and promises to facilitate better understanding of FMR response to REVASC.

Indexed as

computer simulationcoronary artery bypasscoronary artery diseaseinverse finite element analysismitral valve insufficiencymyocardial infarctionmyocardial ischemia

Identifiers

PMID32231584
PMCPMC7082816
OpenAlexW3011788395

What OpenQuestion holds

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LicenceCC BY
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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.