Evidence map›Paper›PMID 42126698›Full record

ReviewCurrent cardiology reports2026

Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.

Dany Debs, Parker Rushworth, Jonathan Liu, Christopher Lee, Javid Moslehi, Michael Salerno

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Dany DebsDepartment of Medicine, Cardiology Division, UCSF, San Francisco, CA, USA.
Parker RushworthDepartment of Medicine, Cardiology Division, UCSF, San Francisco, CA, USA.
Jonathan LiuDepartment of Radiology and Medical Imaging, UCSF, San Francisco, CA, USA.
Christopher LeeDepartment of Medicine, Cardiology Division, UCSF, San Francisco, CA, USA.
Javid MoslehiDepartment of Medicine, Cardiology Division, UCSF, San Francisco, CA, USA.
Michael SalernoDepartment of Medicine, Cardiology Division, UCSF, San Francisco, CA, USA. michael.salerno@ucsf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMyocarditis presents with heterogenous clinical manifestations and remains diagnostically challenging due to nonspecific biomarkers and limitations of endomyocardial biopsy. This review evaluates the role of multimodality cardiac imaging in the diagnosis, phenotyping, and longitudinal management of myocarditis, and proposes a practical clinical integration pathway. RECENT

findingsCardiac magnetic resonance has emerged as the reference noninvasive modality, with parametric mapping and updated Lake Louise Criteria improving diagnostic sensitivity and prognostic stratification. Echocardiographic strain imaging enhances detection of subclinical dysfunction. Positron emission tomography enables assessment of active inflammation, particularly in sarcoidosis and immune checkpoint inhibitor-associated myocarditis. Advances in photon-counting CT, hybrid PET/MR, and artificial intelligence are expanding tissue characterization and risk prediction capabilities. A stepwise imaging strategy integrating echocardiography, CMR, PET, and CT improves diagnostic confidence and guides tailored management. Ongoing research focused on imaging biomarker standardization, validation, and outcome prediction will further refine precision care in myocarditis.

Indexed as

Multimodal ImagingMyocarditisEchocardiographyHumansMagnetic Resonance ImagingPositron-Emission TomographyPrognosisRisk AssessmentTomography, X-Ray ComputedCardiac CTCardiac MRICardiac PETEchoMyocarditisParametric Mapping

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.