Evidence map›Paper›PMID 27591094›Full record

ArticleJournal of biomechanical engineering2016

Computational Investigation of Transmural Differences in Left Ventricular Contractility.

Hua Wang, Xiaoyan Zhang, Shauna M Dorsey, Jeremy R McGarvey, Kenneth S Campbell, Jason A Burdick, Joseph H Gorman, James J Pilla, Robert C Gorman, Jonathan F Wenk

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Hua WangDepartment of Mechanical Engineering, University of Kentucky, Lexington, KY 40506-0503.
Xiaoyan ZhangDepartment of Mechanical Engineering, University of Kentucky, Lexington, KY 40506-0503.
Shauna M DorseyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6321.
Jeremy R McGarveyGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA 19104-5156;Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104.
Kenneth S CampbellDepartment of Physiology, University of Kentucky, Lexington, KY 40536-0298.
Jason A BurdickDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6321.
Joseph H GormanGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA 19104-5156;Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104.
James J PillaGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA 19104-5156;Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104;Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104.
Robert C GormanGorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA 19104-5156;Department of Surgery, University of Pennsylvania, Philadelphia, PA 19104.
Jonathan F WenkDepartment of Mechanical Engineering, University of Kentucky, Lexington, KY 40506-0503;Department of Surgery, University of Kentucky, Lexington, KY 40536-0298 e-mail: jonathan.wenk@uky.edu.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
Surgery to Prevent Post Infarction Ventricular RemodelingR01HL063954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C · 2001 to 2018
$9.8M
Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Localized Targeting of Matrix Proteases Following Myocardial InfarctionR01HL111090 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BURDICK, JASON A, SPINALE, FRANCIS G · 2012 to 2015
$2.0M
NCATS NIH HHS UL1 TR000117NCATS NIH HHS UL1 TR001998NHLBI NIH HHS R01 HL063954NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL111090
6 · The paper itself

Abstract

Myocardial contractility of the left ventricle (LV) plays an essential role in maintaining normal pump function. A recent ex vivo experimental study showed that cardiomyocyte force generation varies across the three myocardial layers of the LV wall. However, the in vivo distribution of myocardial contractile force is still unclear. The current study was designed to investigate the in vivo transmural distribution of myocardial contractility using a noninvasive computational approach. For this purpose, four cases with different transmural distributions of maximum isometric tension (Tmax) and/or reference sarcomere length (lR) were tested with animal-specific finite element (FE) models, in combination with magnetic resonance imaging (MRI), pressure catheterization, and numerical optimization. Results of the current study showed that the best fit with in vivo MRI-derived deformation was obtained when Tmax assumed different values in the subendocardium, midmyocardium, and subepicardium with transmurally varying lR. These results are consistent with recent ex vivo experimental studies, which showed that the midmyocardium produces more contractile force than the other transmural layers. The systolic strain calculated from the best-fit FE model was in good agreement with MRI data. Therefore, the proposed noninvasive approach has the capability to predict the transmural distribution of myocardial contractility. Moreover, FE models with a nonuniform distribution of myocardial contractility could provide a better representation of LV function and be used to investigate the effects of transmural changes due to heart disease.

Indexed as

Models, CardiovascularAnimalsAnisotropyCompressive StrengthComputer SimulationElastic ModulusExcitation Contraction CouplingHeart Conduction SystemHeart VentriclesMagnetic Resonance ImagingMyocardial ContractionStress, MechanicalSwineTensile StrengthVentricular Function, Left

Identifiers

PMID27591094
PMCPMC5125313

What OpenQuestion holds

Textmetadata
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.