Evidence map›Paper›PMID 31352620›Full record

ReviewCurrent cardiology reports2019

Cardiac Magnetic Resonance Fingerprinting: Technical Developments and Initial Clinical Validation.

G Cruz, O Jaubert, R M Botnar, C Prieto

Abstract readReviewValidation Study
In one paragraph

Review in Current cardiology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Review
  5. Article
  6. Review
  7. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  8. Review
  9. Recent technologies in cardiac imaging.Frontiers in medical technology · 2022
    Review
  10. Review
  11. Free-breathing simultaneousMagnetic resonance in medicine · 2021
    Article
  12. Article
  13. Review
  14. Fast and accurate calculation of myocardial TMagnetic resonance in medicine · 2020
    Article
  15. 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

4 authors.

G CruzSchool of Biomedical Engineering and Imaging Sciences, King's College London, 3rd Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK. gastao.cruz@kcl.ac.uk.
O JaubertSchool of Biomedical Engineering and Imaging Sciences, King's College London, 3rd Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
R M BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, 3rd Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
C PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, 3rd Floor, Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMagnetic resonance imaging (MRI) has enabled non-invasive myocardial tissue characterization in a wide range of cardiovascular diseases by quantifying several tissue specific parameters such as T RECENT

findingsCardiac MRF has enabled the acquisition of co-registered T

Indexed as

BrainHealthy VolunteersHeartHeart DiseasesHumansMagnetic Resonance Imaging, CineMultiparametric Magnetic Resonance ImagingCardiac fingerprintingMyocardial tissue characterizationQuantitative MRIT1 mappingT2 mapping

Identifiers

PMID31352620
PMCPMC6661029

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.