Evidence map›Paper›PMID 31543951›Full record

ReviewF1000Research2019

Cardiac magnetic resonance imaging: the future is bright.

Karthik Seetharam, Stamatios Lerakis

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Review
  8. Gender Medicine in Clinical Radiology Practice.Journal of personalized medicine · 2023
    Review
  9. Article
  10. Imaging Techniques in Pharmacological Precision Medicine.Handbook of experimental pharmacology · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Cardiac MRI assessment of anthracycline-induced cardiotoxicity.Frontiers in cardiovascular medicine · 2022
    Review
  16. Cardiac magnetic resonance imaging in patients with Behçet's disease.Advances in rheumatology (London, England) · 2021
    Observational
  17. Review
  18. Transpathology: molecular imaging-based pathology.European journal of nuclear medicine and molecular imaging · 2021
    Review
  19. Review
  20. Cardiac MRI-Update 2020.Der Radiologe · 2020
    Review
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 at 1 institution in 1 country.

Karthik SeetharamDivision of Cardiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Medical Center, New York, USA.ORCID 0000-0001-8006-6445
Stamatios LerakisDivision of Cardiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Medical Center, New York, USA.
Mount Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 15 years, cardiovascular magnetic resonance (CMR) imaging has progressively evolved to become an indispensable tool in cardiology. It is a non-invasive technique that enables objective and functional assessment of myocardial tissue. Recent innovations in magnetic resonance imaging scanner technology and parallel imaging techniques have facilitated the generation of T1 and T2 parametric mapping to explore tissue characteristics. The emergence of strain imaging has enabled cardiologists to evaluate cardiac function beyond conventional metrics. Significant progress in computer processing capabilities and cloud infrastructure has supported the growth of artificial intelligence in CMR imaging. In this review article, we describe recent advances in T1/T2 mapping, myocardial strain, and artificial intelligence in CMR imaging.

Indexed as

HeartHeart DiseasesMagnetic Resonance SpectroscopyMyocardiumHumansMagnetic Resonance ImagingPredictive Value of TestsArtificial IntelligenceMyocardial StrainT1 mappingT2 mapping

Identifiers

PMID31543951
PMCPMC6745761
OpenAlexW2972942801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.