Evidence map›Paper›PMID 29536325›Full record

ArticleThe international journal of cardiovascular imaging2018

Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ.

Amir Pourmorteza, Noemie Keller, Richard Chen, Albert Lardo, Henry Halperin, Marcus Y Chen, Elliot McVeigh

Open access · greenAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Deep learning automates detection of wall motion abnormalitiesFrontiers in cardiovascular medicine · 2022
    Article
  4. Article
  5. Article
  6. Cardiovascular imaging 2018 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2019
    Article
  7. Article
  8. 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

7 authors at 4 institutions in 1 country.

Amir PourmortezaDepartment of Radiology and Imaging Sciences, Winship Cancer Insititute, Emory University, Atlanta, GA, USA. amir.pourmorteza@emory.edu.ORCID http://orcid.org/0000-0001-7149-5424
Noemie KellerDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Richard ChenDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Albert LardoDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Henry HalperinDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marcus Y ChenAdvanced Cardiovascular Imaging Laboratory, Cardiopulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Elliot McVeighDepartments of Bioengineering, Medicine, and Radiology, University of California San Diego, San Diego, CA, USA.
Johns Hopkins University · USEmory Healthcare · USNational Institutes of Health · USUniversity of California San Diego · US

Funding

Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
Improved Targeting and Assessment of Electrophysiology InterventionR01HL094610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 2009 to 2018
$15.5M
MAGNETIC RESONANCE GUIDED ELECTROPHYSIOLOGY INTERVENTIONR01HL064795 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 1999 to 2008
$7.1M
National Institutes of Health R01-HL094610National Institutes of Health R01-HL64795NHLBI NIH HHS R01 HL064795NHLBI NIH HHS R01 HL094610
6 · The paper itself

Abstract

Resting regional wall motion abnormality (RWMA) has significant prognostic value beyond the findings of computed tomography (CT) coronary angiography. Stretch quantification of endocardial engraved zones (SQUEEZ) has been proposed as a measure of regional cardiac function. The purpose of the work reported here was to determine the effect of lowering the radiation dose on the precision of automatic SQUEEZ assessments of RWMA. Chronic myocardial infarction was created by a 2-h occlusion of the left anterior descending coronary artery in 10 swine (heart rates 80-100, ejection fraction 25-57%). CT was performed 5-11 months post infarct using first-pass contrast enhanced segmented cardiac function scans on a 320-detector row scanner at 80 kVp/500 mA. Images were reconstructed at end diastole and end systole with both filtered back projection and using the "standard" adaptive iterative dose reduction (AIDR) algorithm. For each acquisition, 9 lower dose acquisitions were created. End systolic myocardial function maps were calculated using SQUEEZ for all noise levels and contrast-to-noise ratio (CNR) between the left ventricle blood and myocardium was calculated as a measure of image quality. For acquisitions with CNR > 4, SQUEEZ could be estimated with a precision of ± 0.04 (p < 0.001) or 5.7% of its dynamic range. The difference between SQUEEZ values calculated from AIDR and FBP images was not statistically significant. Regional wall motion abnormality can be quantified with good precision from low dose acquisitions, using SQUEEZ, as long as the blood-myocardium CNR stays above 4.

Indexed as

AnimalsChronic DiseaseComputed Tomography AngiographyCoronary AngiographyDisease Models, AnimalEndocardiumFemaleImage EnhancementModels, CardiovascularMyocardial InfarctionRadiation DosageRadiation ExposureRadiographic Image Interpretation, Computer-AssistedSignal-To-Noise RatioSwineVentricular Dysfunction, LeftCT noiseMyocardial functionRegional cardiac functionSQUEEZWall motion abnormality

Identifiers

PMID29536325
PMCPMC6053323
OpenAlexW2790840779

What OpenQuestion holds

Textmetadata
LicenceTDM
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.