Evidence map›Paper›PMID 31941514›Full record

ArticleCardiovascular ultrasound2020

Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress.

John C Stendahl, Nripesh Parajuli, Allen Lu, Nabil E Boutagy, Nicole Guerrera, Imran Alkhalil, Ben A Lin, Lawrence H Staib, Matthew O'Donnell, James S Duncan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular ultrasound, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging.IEEE transactions on bio-medical engineering · 2024
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  11. A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020
    Article
  12. Article
  13. Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    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

11 authors at 2 institutions in 1 country.

John C StendahlSection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA.
Nripesh ParajuliDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Allen LuDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Nabil E BoutagySection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA.
Nicole GuerreraSection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA.
Imran AlkhalilSection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA.
Ben A LinSection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA.
Lawrence H StaibDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Matthew O'DonnellDepartment of Bioengineering, University of Washington, Seattle, WA, 98195-5061, USA.
James S DuncanDepartment of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, 06520, USA.
Albert J SinusasSection of Cardiovascular Medicine, Department of Medicine, Yale Translational Research Imaging Center, Yale University School of Medicine, P.O. Box 208017, Dana 3, New Haven, CT, 06520, USA. albert.sinusas@yale.edu.ORCID http://orcid.org/0000-0003-0972-9589
Yale University · USUniversity of Washington · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Image Guided Delivery of Bioresponsive HydrogelsR01HL137365 · NHLBI · YALE UNIVERSITY · PI BURDICK, JASON A, DUNCAN, JAMES S · 2018 to 2021
$3.2M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL137365NIH HHS R01-HL121226NIH HHS T32HL098069
6 · The paper itself

Abstract

backgroundQuantitative regional strain analysis by speckle tracking echocardiography (STE) may be particularly useful in the assessment of myocardial ischemia and viability, although reliable measurement of regional strain remains challenging, especially in the circumferential and radial directions. We present an acute canine model that integrates a complex sonomicrometer array with microsphere blood flow measurements to evaluate regional myocardial strain and flow in the setting of graded coronary stenoses and dobutamine stress. We apply this unique model to rigorously evaluate a commercial 2D STE software package and explore fundamental regional myocardial flow-function relationships.

methodsSonomicrometers (16 crystals) were implanted in epicardial and endocardial pairs across the anterior myocardium of anesthetized open chest dogs (n = 7) to form three adjacent cubes representing the ischemic, border, and remote regions, as defined by their relative locations to a hydraulic occluder on the mid-left anterior descending coronary artery (LAD). Additional cardiac (n = 3) and extra-cardiac (n = 3) reference crystals were placed to define the cardiac axes and aid image registration. 2D short axis echocardiograms, sonometric data, and microsphere blood flow data were acquired at baseline and in the presence of mild and moderate LAD stenoses, both before and during low-dose dobutamine stress (5 μg/kg/min). Regional end-systolic 2D STE radial and circumferential strains were calculated with commercial software (EchoInsight) and compared to those determined by sonomicrometry and to microsphere blood flow measurements. Post-systolic indices (PSIs) were also calculated for radial and circumferential strains.

resultsLow-dose dobutamine augmented both strain and flow in the presence of mild and moderate stenoses. Regional 2D STE strains correlated moderately with strains assessed by sonomicrometry (R

conclusions2D STE identifies changes in regional end-systolic circumferential and radial strain produced by mild and moderate coronary stenoses and low-dose dobutamine stress. Regional 2D STE end-systolic strain measurements correlate modestly with regional sonomicrometer strain and microsphere flow measurements.

Indexed as

AnimalsCoronary CirculationCoronary StenosisCoronary VesselsDisease Models, AnimalDogsEchocardiography, StressMyocardial ContractionRegional Blood FlowSystoleDobutamine stress echocardiographyMyocardial strainPerfusionSonomicrometrySpeckle tracking

Identifiers

PMID31941514
PMCPMC6964036
OpenAlexW3010254652

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.