Evidence map›Paper›PMID 39075299›Full record

ArticleEuropean radiology2025

Cardiovascular magnetic resonance parametric mapping in the risk stratification of patients affected by chronic myocarditis.

Davide Vignale, Elisa Bruno, Anna Palmisano, Simone Barbieri, Axel Bartoli, Giovanni Peretto, Andrea Villatore, Giacomo De Luca, Antonio Esposito

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

9 authors.

Davide VignaleExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Elisa BrunoExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Anna PalmisanoExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Simone BarbieriExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Axel BartoliExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giovanni PerettoSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Andrea VillatoreSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Giacomo De LucaSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Antonio EspositoExperimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy. esposito.antonio@hsr.it.ORCID http://orcid.org/0000-0002-1170-6266

Funding

Ministero della Salute Giovani Ricercatori-Ricerca Finalizzata, GR-2013-02356832
6 · The paper itself

Abstract

objectivesChronic myocardial inflammation is the substrate for arrhythmias and dilated cardiomyopathy onset, causing morbidity and mortality. Cardiovascular magnetic resonance (CMR) is the noninvasive gold standard for myocardial inflammation detection, due to the high sensitivity of the parametric mapping techniques. However, the potential prognostic capabilities of CMR mapping have not been studied in the setting of chronic myocarditis.

methodsThis is a retrospective study on consecutive patients undergoing CMR with suspicion of chronic myocarditis from September 2017 to November 2021. CMR was acquired according to 2018 Lake Louise Criteria recommendations. The outcome (chronic heart failure, recurrent chronic myocarditic chest pain, ICD/PM implantation, arrhythmias [Lown class ≥ 2]) was collected at follow-up. The extent and degree of native T1, T2, and extracellular volume fraction alterations were used to create multivariate binary logistic regression models for outcome prediction, with or without left ventricle ejection fraction; their AUCs were compared with DeLong test. Differences between other parameters were assessed using Chi-square test, Fisher's exact test, or Mann-Whitney U-test.

resultsThe population included 88 patients (age 43 [32-52] yo), mostly male (53/88, 60%). After a median follow-up of 21 (17-34) months, 31/88 (35%) patients experienced the outcome. The model based on the extension of mapping alterations and LV dysfunction reached a good predictability (AUC 0.71). The model based on the intensity of mapping alterations and LV dysfunction had a very good performance (AUC 0.80).

conclusionThe quantitative analysis of CMR mapping parameters indicative of myocardial damage severity may improve risk stratification in patients with chronic myocarditis. CLINICAL RELEVANCE STATEMENT: The intensity of myocardial damage, assessed as the degree of native T1, T2, and ECV alteration, together with left ventricle dysfunction, improved patient risk stratification. Further prospective studies will be necessary for validation before clinical application. KEY POINTS: Risk stratification of patients affected by chronic myocarditis is an unmet clinical need. Cardiovascular MRI (CMR) can role in risk stratification thanks to its multiparametric capabilities of tissue characterization. A model based on CMR parametric mapping and left ventricle ejection fraction can predict arrhythmia, heart failure, and recurrent symptoms.

Indexed as

Magnetic Resonance ImagingMagnetic Resonance Imaging, CineMyocarditisAdultChronic DiseaseFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentMagnetic resonance imagingMyocarditisPrognosis

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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.