Evidence map›Paper›PMID 25925355›Full record

ArticleEuropean radiology2015

Performance of Automated Software in the Assessment of Segmental Left Ventricular Function in Cardiac CT: Comparison with Cardiac Magnetic Resonance.

Rui Wang, Felix G Meinel, U Joseph Schoepf, Christian Canstein, James V Spearman, Carlo N De Cecco

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 3 countries.

Rui WangDepartment of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.
Felix G MeinelDepartment of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.
U Joseph SchoepfDepartment of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA. schoepf@musc.edu.
Christian CansteinSiemens Medical Solutions USA, Malvern, PA, USA.
James V SpearmanDepartment of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.
Carlo N De CeccoDepartment of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.
Medical University of South Carolina · USCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy, reliability and time saving potential of a novel cardiac CT (CCT)-based, automated software for the assessment of segmental left ventricular function compared to visual and manual quantitative assessment of CCT and cardiac magnetic resonance (CMR).

methodsForty-seven patients with suspected or known coronary artery disease (CAD) were enrolled in the study. Wall thickening was calculated. Segmental LV wall motion was automatically calculated and shown as a colour-coded polar map. Processing time for each method was recorded.

resultsMean wall thickness in both systolic and diastolic phases on polar map, CCT, and CMR was 9.2 ± 0.1 mm and 14.9 ± 0.2 mm, 8.9 ± 0.1 mm and 14.5 ± 0.1 mm, 8.3 ± 0.1 mm and 13.6 ± 0.1 mm, respectively. Mean wall thickening was 68.4 ± 1.5 %, 64.8 ± 1.4 % and 67.1 ± 1.4 %, respectively. Agreement for the assessment of LV wall motion between CCT, CMR and polar maps was good. Bland-Altman plots and ICC indicated good agreement between CCT, CMR and automated polar maps of the diastolic and systolic segmental wall thickness and thickening. The processing time using polar map was significantly decreased compared with CCT and CMR.

conclusionAutomated evaluation of segmental LV function with polar maps provides similar measurements to manual CCT and CMR evaluation, albeit with substantially reduced analysis time. KEY POINTS: • Cardiac computed tomography (CCT) can accurately assess segmental left ventricular wall function. • A novel automated software permits accurate and fast evaluation of wall function. • The software may improve the clinical implementation of segmental functional analysis.

Indexed as

SoftwareAdultAgedAged, 80 and overContrast MediaFemaleHeart VentriclesHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedRadiographic Image EnhancementReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedContrast MediaCardiac computed tomographyCardiac functionCardiac magnetic resonanceCoronary artery diseasePost processing

Identifiers

PMID25925355
OpenAlexW1983066565

What OpenQuestion holds

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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.