Evidence map›Paper›PMID 41621595›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Three-dimensional speckle-tracking echocardiography and cardiac magnetic resonance feature tracking for assessment of left ventricular myocardial fibrosis in patients with end-stage heart failure.

Lang Gao, Mingxing Xie, Li Zhang, Yukun Cao, Jing Wang, Peng Zhu, Yanting Zhang, Yixia Lin, Mengmeng Ji, Qing He and 4 more

Abstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Lang GaoDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Mingxing XieDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Li ZhangDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Yukun CaoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing WangDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peng ZhuDepartment of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yanting ZhangDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Yixia LinDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Mengmeng JiDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Qing HeDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Zhenni WuDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Shuxuan QinDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
Nianguo DongDepartment of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: dongnianguo@hotmail.com.
Yuman LiDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China. Electronic address: liym@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) speckle-tracking echocardiography (STE) and cardiovascular magnetic resonance (CMR) feature tracking (FT) have been reported to correlate with the extent of left ventricular myocardial fibrosis (LVMF), but the value of 3D-STE in predicting LVMF compared with CMR-FT has not been investigated in patients with end-stage heart failure (HF).

methodsA total of 155 patients who underwent CMR, two-dimensional (2D), and 3D echocardiographic examinations before heart transplantation were enrolled. Left ventricular global radial strain (GRS), global circumferential strain (GCS), and global longitudinal strain (GLS) were obtained from CMR-FT, 3D-STE, and 2D-STE. The degree of LVMF was quantified using Masson's trichrome staining in left ventricular myocardial samples from the explanted hearts, and patients were divided into three groups according to tertiles of histologic LVMF.

results3D-GLS, 2D-GLS, CMR-GLS, and CMR-GCS were lower in patients with severe LVMF than in those with mild and moderate LVMF. LVMF was strongly correlated with CMR-GLS and 3D-GLS (r = 0.74, 0.73, respectively; both P < 0.001), and moderately correlated with 2D-GLS (r = 0.63, P < 0.001). CMR-GLS and 3D-GLS demonstrated similar diagnostic performance in identifying severe LVMF (area under the curve: 0.88 vs. 0.86, P > 0.05). The model with CMR-GLS (R

conclusionBoth CMR-GLS and 3D-GLS are strongly correlated with LVMF, and are promising non-invasive imaging parameters for the assessment of LVMF in patients with end-stage HF.

Indexed as

Echocardiography, Three-DimensionalHeart FailureMagnetic Resonance Imaging, CineMyocardiumVentricular Function, LeftAdultAgedFemaleFibrosisGlobal Longitudinal StrainHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsSeverity of Illness IndexCardiac magnetic resonanceEnd-stage heart failureFeature trackingMyocardial fibrosisSpeckle-tracking echocardiographyStrain imaging

Identifiers

PMID41621595
PMCPMC13237550

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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.