Evidence map›Paper›PMID 32588208›Full record

ArticleEuropean radiology2020

Advanced myocardial characterization in hypertrophic cardiomyopathy: feasibility of CMR-based feature tracking strain analysis in a case-control study.

Liping Yang, Lingbo Zhang, Shaodong Cao, Chao Gao, Hanshan Xu, Tiantian Song, Xiushi Zhang, Kezheng Wang

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Functional significance of myocardial activity atEuropean journal of nuclear medicine and molecular imaging · 2023
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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

8 authors.

Liping YangPET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
Lingbo ZhangHead-Neck and Oral Department, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Shaodong CaoMedical Imaging Department, The 4th Affiliated Hospital of Harbin Medical University, Harbin, China.
Chao GaoMedical Imaging Department, The 4th Affiliated Hospital of Harbin Medical University, Harbin, China.
Hanshan XuPET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
Tiantian SongPET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China.
Xiushi ZhangPET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China. Xiushiz@163.com.
Kezheng WangPET-CT/MR Department, Harbin Medical University Cancer Hospital, Harbin, China. wangkezheng9954001@163.com.

Funding

Distinguished Young Scientist Funding of Harbin Medical University Affiliated Tumor Hospital JCQN2019-02Innovative Research Group Project of the National Natural Science Foundation of China 81571740Key Project of the Climbing Funding of the National Cancer Center NCC201808B019Medical Scientific Research Foundation of Heilongjiang Province Health Department 2014-312Natural Science Foundation of 2nd Affiliated Hospital Harbin Medical University KTBS2015-26Postdoctoral Special Scientific Research Grant of Heilongjiang Provincial Government LBH-Q17104Scientific Research Grant of Heilongjiang Province Natural Science Foundation for Returned Chinese Scholars LC201436Youth Scientific Research Grant of Heilongjiang Province Natural Science Foundation QC2015127
6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the feasibility and reproducibility of using cardiovascular magnetic resonance feature tracking (CMR-FT) for analysis of bi-ventricular strain and strain rate (SR) in hypertrophic cardiomyopathy (HCM) patients as well as to explore the correlation between right ventricular (RV) and left ventricular (LV) deformation.

methodsA total of 60 HCM patients and 48 controls were studied. Global and segmental peak values of bi-ventricular longitudinal, circumferential, radial strain, and systolic SR were analyzed. Pearson analysis was performed to investigate the correlation of RV and LV deformation. Intra-observer and inter-observer reproducibility were also assessed.

resultsLV mass in the HCM group was significantly higher than that in the control group. LV end-systolic and end-diastolic volume and RV end-systolic and end-diastolic volume in the HCM group were all significantly lower than the correlated parameters in the control group (p < 0.001, respectively), whereas no statistical difference was found in ejection fraction (p > 0.05). Global longitudinal strain (GLS), global longitudinal strain rate (GLSR), global circumferential strain (GCS), global circumferential strain rate (GCSR), global radial strain (GRS), and global radial strain rate (GRSR) of the LV and RV were all significantly lower than the control group, and segmental strain and SR were also true (p < 0.001, respectively). Bi-ventricular strain and SR measurements were highly reproducible at both intra- and inter-observer levels. Additionally, Pearson analysis showed RV GCS, GLS, and GRS positively correlated with LV GCS, GLS, and GRS (r = 0.713, p < 0.001; r = 0.728, p < 0.001; r = 0.730, p < 0.001, respectively).

conclusionsCMR-FT is a promising approach to analyze impairment of global and segmental myocardium deformation in HCM patients non-invasively and quantitatively. KEY POINTS: • CMR-FT allows for advanced myocardial characterization with high reproducibility. • As compared with controls, HCM patients have significant differences in CMR-FT strain analysis while ejection fraction was similar. • CMR-FT may serve as an early biomarker of HCM in subjects at risk.

Indexed as

AdultCardiomyopathy, HypertrophicCase-Control StudiesFeasibility StudiesFemaleHeart VentriclesHumansMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardial ContractionMyocardiumReproducibility of ResultsCardiovascular magnetic resonanceFeature trackingHypertrophic cardiomyopathy

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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.