Evidence map›Paper›PMID 32929640›Full record

ArticleEuropean radiology2021

Head-to-head comparison of multiple cardiovascular magnetic resonance techniques for the detection and quantification of intramyocardial haemorrhage in patients with ST-elevation myocardial infarction.

Anna Giulia Pavon, Georgios Georgiopoulos, Gabriella Vincenti, Olivier Muller, Pierre Monney, Gregoire Berchier, Chiara Cirillo, Eric Eeckhout, Juerg Schwitter, Pier Giorgio Masci

Abstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. T2 mapping in myocardial disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    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

10 authors.

Anna Giulia PavonCentre of Cardiac Magnetic Resonance - Lausanne University Hospital, Lausanne, Switzerland.
Georgios GeorgiopoulosSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK. georgiopoulosgeorgios@gmail.com.ORCID http://orcid.org/0000-0001-7661-5253
Gabriella VincentiCentre of Cardiac Magnetic Resonance - Lausanne University Hospital, Lausanne, Switzerland.
Olivier MullerCardiology Division, Heart & Vessels Department, Lausanne University Hospital, Lausanne, Switzerland.
Pierre MonneyCentre of Cardiac Magnetic Resonance - Lausanne University Hospital, Lausanne, Switzerland.
Gregoire BerchierRadiology Department, Lausanne University Hospital, Lausanne, Switzerland.
Chiara CirilloSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
Eric EeckhoutCardiology Division, Heart & Vessels Department, Lausanne University Hospital, Lausanne, Switzerland.
Juerg SchwitterCentre of Cardiac Magnetic Resonance - Lausanne University Hospital, Lausanne, Switzerland.
Pier Giorgio MasciCentre of Cardiac Magnetic Resonance - Lausanne University Hospital, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesT2*-weighted (T2*w) is deemed as a reference standard for post-infarction intramyocardial haemorrhage (IMH). However, high proportion of T2* images is affected by off-resonance artefacts hampering image interpretation. Diagnostic accuracy and precision of alternative techniques for IMH diagnosis and quantification have been seldomly investigated. METHODS AND

resultsBetween April 2016 and May 2017, 50 ST-segment elevation myocardial infarction patients (66% male, 57 ± 17 years) and 15 healthy controls (60% male, 58 ± 13) were consecutively enrolled. Subjects underwent head-to-head comparison of single mid-infarct slice acquired on black-blood T2-weighted short-TI-inversion recovery (T2w-STIR), bright-blood T2prep-steady-state-free precession (T2prep-SSFP), and T2/T1 maps for IMH diagnosis and quantification against T2*w. All images were graded for quality (grade 1: very poor; grade 4: excellent) and diagnostic confidence (Likert scale, 1: very unsure and 5: highly confident). Reduced relaxation time/hypointense region (hypocore) embedded in infarct-related oedema on T2 map, T1 map, and T2w-STIR had the best overall diagnostic accuracy (per-subject: 91%, 86%, and 86%, respectively; per segment: 95%, 93%, and 93%, respectively). By mixed-effects analysis, image quality, and diagnostic confidence were higher for T2 map and T1 maps than T2*w (p < 0.05 for both scores). For IMH quantification, hypocore on T2 map and T1 map strongly correlated (Spearman's r > 0.7, p < 0.001 for both) with IMH extent on T2*w and presented an overall excellent agreement on Bland-Altman analysis. By linear mixed model analysis, absolute hypocore size did not differ among T1-, T2 map, and T2*w. T2/T1 maps had the best intra- and inter-observer reproducibility among CMR techniques.

conclusionHypocore on T2/T1 map is the best alternative technique to T2*w for diagnosing and quantifying IMH in post-STEMI patients. KEY POINT: • Mapping techniques are the best alternatives for diagnosing post-infarction intramyocardial haemorrhage. • Mapping techniques are valuable tools for imaging intramyocardial haemorrhage.

Indexed as

ST Elevation Myocardial InfarctionFemaleHemorrhageHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMaleMyocardiumPredictive Value of TestsReproducibility of ResultsMagnetic resonance imagingMyocardial infarctionMyocardial ischemic reperfusion injury

Identifiers

PMID32929640
PMCPMC7880961

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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.