Evidence map›Paper›PMID 39202304›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Clinical Applications of Cardiac Magnetic Resonance Parametric Mapping.

Daniele Muser, Anwar A Chahal, Joseph B Selvanayagam, Gaetano Nucifora

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Daniele MuserCardiac Electrophysiology Unit, Department of Biomedical Sciences, Humanitas University, 20090 Milan, Italy.ORCID 0000-0003-4323-5988
Anwar A ChahalCenter for Inherited Cardiovascular Diseases, WellSpan Health, Lancaster, PA 17601, USA.
Joseph B SelvanayagamDepartment of Cardiovascular Medicine, Flinders Medical Centre, Adelaide, SA 5042, Australia.
Gaetano NuciforaCardiac Imaging Unit, NorthWest Heart Centre, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.ORCID 0000-0003-2890-440X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular magnetic resonance (CMR) imaging is widely regarded as the gold-standard technique for myocardial tissue characterization, allowing for the detection of structural abnormalities such as myocardial fatty replacement, myocardial edema, myocardial necrosis, and/or fibrosis. Historically, the identification of abnormal myocardial regions relied on variations in tissue signal intensity, often necessitating the use of exogenous contrast agents. However, over the past two decades, innovative parametric mapping techniques have emerged, enabling the direct quantitative assessment of tissue magnetic resonance (MR) properties on a voxel-by-voxel basis. These mapping techniques offer significant advantages by providing comprehensive and precise information that can be translated into color-coded maps, facilitating the identification of subtle or diffuse myocardial abnormalities. As unlikely conventional methods, these techniques do not require a substantial amount of structurally altered tissue to be visually identifiable as an area of abnormal signal intensity, eliminating the reliance on contrast agents. Moreover, these parametric mapping techniques, such as T1, T2, and T2* mapping, have transitioned from being primarily research tools to becoming valuable assets in the clinical diagnosis and risk stratification of various cardiac disorders. In this review, we aim to elucidate the underlying physical principles of CMR parametric mapping, explore its current clinical applications, address potential pitfalls, and outline future directions for research and development in this field.

Indexed as

cardiovascular magnetic resonancemyocardial tissue characterizationparametric mappingT1 mappingT2 mapping

Identifiers

PMID39202304
PMCPMC11353869

What OpenQuestion holds

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Registered trials

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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.