Evidence map›Paper›PMID 28465899›Full record

ArticleJournal of cardiovascular echography

MDCT Derived Left Ventricular Function in Relation to Echocardiography: Validation and Revising the Role with the Evolving Technology.

Shilpa Hegde, Venkatraman Bhat, Karthik Gadabanahalli, Murugan Kuppuswamy

Abstract read
In one paragraph

Article in Journal of cardiovascular echography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Shilpa HegdeDepartment of Imaging Services, Narayana Health, Bommasandra, Bangalore, Karnataka, India.
Venkatraman BhatDepartment of Imaging Services, Narayana Health, Bommasandra, Bangalore, Karnataka, India.
Karthik GadabanahalliDepartment of Imaging Services, Narayana Health, Bommasandra, Bangalore, Karnataka, India.
Murugan KuppuswamyDepartment of Imaging Services, Narayana Health, Bommasandra, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary computed tomography angiography (CCTA) is a frequently performed examination for coronary artery disease. When performed with retrospective gating, there is an opportunity to derive functional parameters of left ventricle utilizing automated software. Complementary information, if validated with established standards, will enhance the total value of study.

objectiveStudy evaluates the usefulness of fully automated software for the assessment of left ventricular ejection fraction (LVEF) using 64-slice CCTA data and to correlate CT results with echocardiography (ECHO). Role of CT derived LV function is reviewed in the light of emerging technologies and recent developments in multidetector CT (MDCT). MATERIALS AND

methodsA total of 113 patients referred for MDCT CCTA for evaluation of coronary artery disease. All patients were scanned on 64 slice GE-Helical CT scanner and had an ECHO done within 1 week of the CT scan. Retrospectively electrocardiogram (ECG)-correlated image reconstruction was performed with the reconstruction at 10% R-R interval increment. Axial image sets were analyzed with advanced workstation using a program-Auto ejection fraction, Circulation: GE Medical Solutions.

resultsThe mean LVEF calculated by clinical ECHO was 58.6 ± 4.5% and by fully automated software based on CTA data was 58.9 ± 5.4%. The Pearson's regression analysis showed a large correlation, with a correlation coefficient of 0.503 (

conclusionThe fully automated software is simple, reliable, and user-friendly, and can provide rapid assessment of LV functional parameters with good reproducibility. Despite of good correlation, fewer patients are likely to benefit, in future, from this function due to smaller number of patients undergoing CCTA with retrospective gating.

Indexed as

64-Slice MDCTcoronary artery diseaseCTAechocardiographyfully automated softwareleft ventricular ejection fraction

Identifiers

PMID28465899
PMCPMC5353405

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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.