Evidence map›Paper›PMID 26706935›Full record

ArticleThe international journal of cardiovascular imaging2016

Correlation of CT-based regional cardiac function (SQUEEZ) with myocardial strain calculated from tagged MRI: an experimental study.

Amir Pourmorteza, Marcus Y Chen, Jesper van der Pals, Andrew E Arai, Elliot R McVeigh

Abstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Clinical application of cardiac computed tomography in cardiomyopathy.The international journal of cardiovascular imaging · 2026
    Review
  2. Article
  3. Image-Guided Cardiac Regeneration via a 3D Bioprinted Vascular Patch with Built-in CT Visibility.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2025
    Article
  4. Article
  5. 3D regional evaluation of right ventricular myocardial work from cineCT.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Gender Medicine in Clinical Radiology Practice.Journal of personalized medicine · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Deep learning automates detection of wall motion abnormalitiesFrontiers in cardiovascular medicine · 2022
    Article
  14. Article
  15. Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2021
    Article
  16. Article
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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

5 authors.

Amir PourmortezaDepartment of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA. amir.pourmorteza@nih.gov.ORCID http://orcid.org/0000-0001-7149-5424
Marcus Y ChenAdvanced Cardiovascular Imaging Laboratory, Cardiopulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Jesper van der PalsAdvanced Cardiovascular Imaging Laboratory, Cardiopulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Andrew E AraiAdvanced Cardiovascular Imaging Laboratory, Cardiopulmonary Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Elliot R McVeighDepartments of Bioengineering, Medicine, and Radiology, University of California, San Diego, San Diego, CA, USA.

Funding

NHLBI Animal Program DivisionZIGHL006020 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CLARK, TANNIA · 2009 to 2025
$47.3M
Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
Cardiovascular CT ResearchZIAHL006138 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2016
$7.3M
Intramural NIH HHS Z99 CL999999Intramural NIH HHS ZIA HL004607Intramural NIH HHS ZIA HL006138
6 · The paper itself

Abstract

The objective of this study was to investigate the correlation between local myocardial function estimates from CT and myocardial strain from tagged MRI in the same heart. Accurate detection of regional myocardial dysfunction can be an important finding in the diagnosis of functionally significant coronary artery disease. Tagged MRI is currently a reference standard for noninvasive regional myocardial function analysis; however, it has practical drawbacks. We have developed a CT imaging protocol and automated image analysis algorithm for estimating regional cardiac function from a few heartbeats. This method tracks the motion of the left ventricular (LV) endocardial surface to produce local function maps: we call the method Stretch Quantification of Endocardial Engraved Zones (SQUEEZ). Myocardial infarction was created by ligation of the left anterior descending coronary artery for 2 h followed by reperfusion in canine models. Tagged and cine MRI scans were performed during the reperfusion phase and first-pass contrast enhanced CT scans were acquired. The average delay between the CT and MRI scans was <1 h. Circumferential myocardial strain (Ecc) was calculated from the tagged MRI data. The agreement between peak systolic Ecc and SQUEEZ was investigated in 162 segments in the 9 hearts. Linear regression and Bland-Altman analysis was used to assess the correlation between the two metrics of local LV function. The results show good agreement between SQUEEZ and Ecc: (r = 0.71, slope = 0.78, p < 0.001). Furthermore, Bland-Altman showed a small bias of -0.02 with 95 % confidence interval of 0.1, and standard deviation of 0.05 representing ~6.5 % of the dynamic range of LV function. The good agreement between the estimates of local myocardial function obtained from CT SQUEEZ and tagged MRI provides encouragement to investigate the use of SQUEEZ for measuring regional cardiac function at a low clinical dose in humans.

Indexed as

Magnetic Resonance Imaging, CineMultidetector Computed TomographyMyocardial ContractionVentricular Function, LeftAlgorithmsAnimalsAutomationBiomechanical PhenomenaDisease Models, AnimalDogsLinear ModelsMyocardial InfarctionPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsStress, MechanicalContractilityCT SQUEEZMyocardial functionTagged MRI

Identifiers

PMID26706935
PMCPMC4854781

What OpenQuestion holds

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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.