Evidence map›Paper›PMID 42416582›Full record

ReviewReviews in cardiovascular medicine2026

Application of Left Atrial Strain Based on Cardiac Magnetic Resonance Feature Tracking in Cardiovascular Diseases.

Hui Li, Shuang Li, Yike Zhao, Lei Xu, Baiyan Zhuang

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2026. 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

5 authors.

Hui LiDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 100029 Beijing, China.ORCID https://orcid.org/0009-0009-4898-2860
Shuang LiDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 100029 Beijing, China.
Yike ZhaoDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 100029 Beijing, China.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 100029 Beijing, China.
Baiyan ZhuangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 100029 Beijing, China.ORCID https://orcid.org/0000-0003-3054-5514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The left atrium (LA) plays a crucial role in maintaining left ventricular filling. Additionally, LA function serves as a key indicator for evaluating and grading the severity of left ventricular diastolic dysfunction. Increasing evidence demonstrates that LA function and volume are vital imaging indicators for various cardiovascular conditions. However, conventional volumetric parameters have limitations. They cannot adequately depict the phase-dependent characteristics and complex dynamics of LA activity. Recently, cardiac magnetic resonance feature tracking (CMR-FT) has emerged as an effective tool for quantifying LA strain. This technique offers superior reproducibility, lacks acoustic window constraints, and provides enhanced spatial resolution. CMR-FT-derived LA strain enables the early detection of atrial mechanical injury. Furthermore, it precisely reflects atrial phasic functional changes. These capabilities offer novel insights into the diagnosis, management, prognostic stratification, and therapeutic efficacy assessment of cardiovascular diseases. This review summarizes current research advances in LA strain assessment via CMR-FT and further provides perspectives on its clinical applications.

Indexed as

cardiac magnetic resonance feature trackingcardiovascular diseaseleft atrial strain

Identifiers

PMID42416582
PMCPMC13339245

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Registered trials

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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.