Evidence map›Paper›PMID 25392821›Full record

ReviewQuantitative imaging in medicine and surgery2014

Quantification of regional myocardial wall motion by cardiovascular magnetic resonance.

Kai Jiang, Xin Yu

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guidelines for measuring cardiac physiology in mice.American journal of physiology. Heart and circulatory physiology · 2018
    Guideline
  2. Effect of the Mitral Valve on the Intra Ventricular Hemodynamics.International journal for numerical methods in biomedical engineering · 2026
    Article
  3. LV function validation of computer-assisted interventional system for cardiac resyncronisation therapy.International journal of computer assisted radiology and surgery · 2018
    Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Biomechanics of Cardiac Function.Comprehensive Physiology · 2015
    Review
  9. Quantitative cardiovascular imaging.Quantitative imaging in medicine and surgery · 2014
    Article
  10. Article
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

2 authors.

Kai Jiang1 Departments of Biomedical Engineering, 2 Case Center for Imaging Research, 3 Radiology, and 4 Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, USA.
Xin Yu1 Departments of Biomedical Engineering, 2 Case Center for Imaging Research, 3 Radiology, and 4 Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, USA.

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
NCATS NIH HHS UL1 TR000439
6 · The paper itself

Abstract

Cardiovascular magnetic resonance (CMR) is a versatile tool that also allows comprehensive and accurate measurement of both global and regional myocardial contraction. Quantification of regional wall motion parameters, such as strain, strain rate, twist and torsion, has been shown to be more sensitive to early-stage functional alterations. Since the invention of CMR tagging by magnetization saturation in 1988, several CMR techniques have been developed to enable the measurement of regional myocardial wall motion, including myocardial tissue tagging, phase contrast mapping, displacement encoding with stimulated echoes (DENSE), and strain encoded (SENC) imaging. These techniques have been developed with their own advantages and limitations. In this review, two widely used and closely related CMR techniques, i.e., tissue tagging and DENSE, will be discussed from the perspective of pulse sequence development and image-processing techniques. The clinical and preclinical applications of tissue tagging and DENSE in assessing wall motion mechanics in both normal and diseased hearts, including coronary artery diseases, hypertrophic cardiomyopathy, aortic stenosis, and Duchenne muscular dystrophies, will be discussed.

Indexed as

Cardiovascular disease (CVD)cardiovascular magnetic resonance (CMR)displacement-encoding with stimulated echoes (DENSE)MR tissue tagging

Identifiers

PMID25392821
PMCPMC4213416

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.