Evidence map›Paper›PMID 39354972›Full record

ReviewFrontiers in nuclear medicine2022

Recent advances in PET-MRI for cardiac sarcoidosis.

Camila Munoz, Alina Schneider, René M Botnar, Claudia Prieto

Abstract readReview
In one paragraph

Review in Frontiers in nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. World journal of nuclear medicine · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Exploring the latest advances inAmerican journal of nuclear medicine and molecular imaging · 2024
    Review
  7. Review
  8. Utility ofIndian heart journal
    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.

Camila MunozSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Alina SchneiderSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
René M BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of cardiac sarcoidosis (CS) remains challenging. While only a small fraction of patients with systemic sarcoidosis present with clinically symptomatic CS, cardiac involvement has been associated with adverse outcomes, such as ventricular arrhythmia, heart block, heart failure and sudden cardiac death. Despite the clinical relevance of having an early and accurate diagnosis of CS, there is no gold-standard technique available for the assessment of CS. Non-invasive PET and MR imaging have shown promise in the detection of different histopathological features of CS. More recently, the introduction of hybrid PET-MR scanners has enabled the acquisition of these hallmarks in a single scan, demonstrating higher sensitivity and specificity for CS detection and risk stratification than with either imaging modality alone. This article describes recent developments in hybrid PET-MR imaging for improving the diagnosis of CS and discusses areas of future development that could make cardiac PET-MRI the preferred diagnostic tool for the comprehensive assessment of CS.

Indexed as

cardiac sarcoidosishybrid PET-MRquantitative MRIT1/T2 mappingwhole-heart imaging

Identifiers

PMID39354972
PMCPMC11440945

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.