Evidence map›Paper›PMID 32107604›Full record

ArticleEuropean radiology2020

Fast long-axis strain: a simple, automatic approach for assessing left ventricular longitudinal function with cine cardiovascular magnetic resonance.

Shuang Leng, Ru-San Tan, Xiaodan Zhao, John C Allen, Angela S Koh, Liang Zhong

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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Myocardial mechanical function measured by cardiovascular magnetic resonance in patients with heart failure.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
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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

6 authors.

Shuang LengNational Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
Ru-San TanNational Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
Xiaodan ZhaoNational Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
John C AllenDuke-NUS Medical School, National University of Singapore, 8 College Road, Singapore, 169857, Singapore.
Angela S KohNational Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
Liang ZhongNational Heart Research Institute Singapore, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore. zhong.liang@nhcs.com.sg.ORCID http://orcid.org/0000-0003-3608-4173

Funding

National Medical Research Council Singapore MOH-000153National Medical Research Council Singapore MOH-000351National Medical Research Council Singapore NMRC/OFIRG/0018/2016; NMRC/BnB/0017/2015; MOH-000358National Medical Research Council Singapore NMRC/TA/0031/2015SingHealth Duke-NUS Academic Medicine Research Grant AM/TP015/2018 (SRDUKAMR1814)
6 · The paper itself

Abstract

objectivesIn some cardiac pathologies, impairment of left ventricular (LV) longitudinal function may precede reduction in LV ejection fraction. This study investigates the effectiveness of a fast method to quantify long-axis LV function compared to conventional feature tracking and manual approaches.

methodsThe study consisted of 50 normal controls and 100 heart failure (HF) patients including 40 with reduced ejection fraction (HFrEF), 30 with mid-range ejection fraction (HFmrEF), and 30 with preserved ejection fraction (HFpEF). Parameters including fast long-axis strain (FLAS) at end-systole and peak strain rates during systole (FLASR

resultsFLAS exhibited good agreement with strain values obtained using conventional feature tracking (bias - 2.9%, limits of agreement ± 3.0%) and the manual approach (bias 0.6%, limits of agreement ± 2.1%), where FLAS was more reproducible and required shorter measurement time. The mean FLAS (HFrEF < HFmrEF < HFpEF < controls; 6.1 ± 2.4 < 9.9 ± 2.4 < 11.0 ± 2.5 < 16.9 ± 2.3%, all p < 0.0001) was decreased in all the HF patient groups. A FLAS of 12.3% (mean-2SD of controls) predicted the presence of systolic dysfunction in 67% of patients with HFpEF, and 87% with HFmrEF. Strain parameters using the fast approach were superior to those obtained by conventional feature tracking and manual approaches for discriminating HFpEF from controls. Notable examples are area under the curve, sensitivity, and specificity for FLAS (0.94, 93%, and 86%) and FLASR

conclusionsThe fast approach-derived LV strain and strain rate parameters facilitate reproducible, reliable, and effective LV longitudinal function analysis. KEY POINTS: • Left ventricular long-axis strain can be rapidly derived from cine CMR with shorter measurement time and higher reproducibility compared to conventional feature tracking and the manual approach. • Progressive reductions in left ventricular long-axis strain and strain rate measurements were observed from HFpEF, HFmrEF, to HFrEF group. • Based on long-axis strain, systolic abnormalities were evident in HFmrEF and HFpEF indicating common coexistence of systolic and diastolic dysfunction in the HF phenotypes.

Indexed as

Stroke VolumeAdultAgedCase-Control StudiesFemaleHeartHeart AtriaHeart FailureHeart VentriclesHumansMagnetic Resonance Imaging, CineMaleMiddle AgedReproducibility of ResultsSystoleVentricular Dysfunction, LeftHeart failureLeft ventricular functionMagnetic resonance imaging

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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.