Evidence map›Paper›PMID 36552955›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Left Ventricle Wall Motion Analysis with Real-Time MRI Feature Tracking in Heart Failure Patients: A Pilot Study.

Yu Yulee Li, Jason Craft, Yang Josh Cheng, Kathleen Gliganic, William Schapiro, Jie Jane Cao

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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, top 72% of its field
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, 0 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Yu Yulee LiCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.ORCID 0000-0001-5411-5813
Jason CraftCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.
Yang Josh ChengCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.
Kathleen GliganicCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.
William SchapiroCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.
Jie Jane CaoCardiac Imaging, DeMatteis Center for Cardiac Research and Education, St. Fracis Hospital & Heart Center, Greenvale, NY 11548, USA.
State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volumetric measurements with cardiac magnetic resonance imaging (MRI) are effective for evaluating heart failure (HF) with systolic dysfunction that typically induces a lower ejection fraction (EF) than normal (<50%) while they are not sensitive to diastolic dysfunction in HF patients with preserved EF (≥50%). This work is to investigate whether HF evaluation with cardiac MRI can be improved with real-time MRI feature tracking. In a cardiac MRI study, we recruited 16 healthy volunteers, 8 HF patients with EF < 50% and 10 HF patients with preserved EF. Using real-time feature tracking, a cardiac MRI index, torsion correlation, was calculated which evaluated the correlation of torsional and radial wall motion in the left ventricle (LV) over a series of sequential cardiac cycles. The HF patients with preserved EF and the healthy volunteers presented significant difference in torsion correlation (one-way ANOVA, p < 0.001). In the scatter plots of EF against torsion correlation, the HF patients with EF < 50%, the HF patients with preserved EF and the healthy volunteers were well differentiated, indicating that real-time MRI feature tracking provided LV function assessment complementary to volumetric measurements. This study demonstrated the potential of cardiac MRI for evaluating both systolic and diastolic dysfunction in HF patients.

Indexed as

feature trackingheart failureLV wall motionreal-time imagingvolumetric measurements

Identifiers

PMID36552955
PMCPMC9776889
OpenAlexW4310043250

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.