Evidence map›Paper›PMID 25694545›Full record

ArticleJournal of the Royal Society, Interface2015

Regional ejection fraction and regional area strain for left ventricular function assessment in male patients after first-time myocardial infarction.

Soo-Kng Teo, F J A Vos, Ru-San Tan, Liang Zhong, Yi Su

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In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Soo-Kng TeoDepartment of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore teosk@ihpc.a-star.edu.sg.
F J A VosDepartment of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore Technical Medicine, University of Twente, Maarn, The Netherlands.
Ru-San TanNational Heart Centre Singapore, Republic of Singapore Duke-NUS Graduate Medical School Singapore, Republic of Singapore.
Liang ZhongNational Heart Centre Singapore, Republic of Singapore Duke-NUS Graduate Medical School Singapore, Republic of Singapore.
Yi SuDepartment of Computing Science, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we present a method to assess left ventricle (LV) regional function from cardiac magnetic resonance (CMR) imaging based on the regional ejection fraction (REF) and regional area strain (RAS). CMR scans were performed for 30 patients after first-time myocardial infarction (MI) and nine age- and sex-matched healthy volunteers. The CMR images were processed to reconstruct three-dimensional LV geometry, and the REF and RAS in a 16-segment model were computed using our proposed methodology. The method of computing the REF was tested and shown to be robust against variation in user input. Furthermore, analysis of data was feasible in all patients and healthy volunteers without any exclusions. The REF correlated well with the RAS in a nonlinear manner (quadratic fit-R(2) = 0.88). In patients after first-time MI, the REF and RAS were significantly reduced across all 16 segments (REF: p < 0.05; RAS: p < 0.01). Moreover, the REF and RAS significantly decreased with the extent of transmural scar obtained from late gadolinium-enhanced CMR images. In addition, we show that the REF and RAS can be used to identify regions with compromised function in the patients with preserved global ejection fraction with reasonable accuracy (more than 78%). These preliminary results confirmed the validity of our approach for accurate analysis of LV regional function. Our approach potentially offers physicians new insights into the local characteristics of the myocardial mechanics after a MI.

Indexed as

HumansMagnetic Resonance ImagingMaleMyocardial InfarctionStroke VolumeVentricular Function, Leftcardiac magnetic resonance imagingleft ventriclemyocardial infarctionregional area strainregional ejection fraction

Identifiers

PMID25694545
PMCPMC4387531

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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.