Evidence map›Paper›PMID 42516944›Full record

ArticleEuropean heart journal. Case reports2026

Multiparametric cardiovascular magnetic resonance for differentiating cardiac masses: clinical impact from a case series.

Mauricio Garcia-Cardenas, Ana Karen Nieto-Dolores, Jonathan Iram Valenzuela-Sanchez, Michelle Valle-Rodriguez, Alfonso Gonzalez-Trejo, Adriana Dominguez-Linares, Enrique Ruiz-Mori, Nilda Espinola-Zavaleta

Abstract readCase Reports
In one paragraph

Article in European heart journal. Case 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

8 authors.

Mauricio Garcia-CardenasDepartment of Cardiology, National Institute of Neoplastic Diseases, Av. Angamos Este 2520, Surquillo, Lima 15038, Peru.
Ana Karen Nieto-DoloresFaculty of Medicine, Popular Autonomous University of Puebla, 21 sur 1103, Barrio Santiago 72410, Puebla, Mexico.
Jonathan Iram Valenzuela-SanchezFaculty of Medicine, Autonomous University of Ciudad Juárez, Av. Plutarco Elias Calles 1210, Foviste Chamizal 32310, Ciudad Juarez, Mexico.
Michelle Valle-RodriguezFaculty of Medicine, National Autonomous University of Mexico, Av. Universidad 3000, C.U., Coyoacan, Mexico City 04510, Mexico.ORCID https://orcid.org/0009-0002-0960-6925
Alfonso Gonzalez-TrejoFaculty of Medicine, National Autonomous University of Mexico, Av. Universidad 3000, C.U., Coyoacan, Mexico City 04510, Mexico.
Adriana Dominguez-LinaresDepartment of Cardiology, National Institute of Neoplastic Diseases, Av. Angamos Este 2520, Surquillo, Lima 15038, Peru.
Enrique Ruiz-MoriDepartment of Cardiology, National Institute of Neoplastic Diseases, Av. Angamos Este 2520, Surquillo, Lima 15038, Peru.
Nilda Espinola-ZavaletaDepartment of Nuclear Cardiology, National Institute of Cardiology Ignacio Chavez, Juan Badiano 1, Colonia Seccion XVI, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-4820-1325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac masses represent a rare but clinically significant diagnostic entity. Morphological assessment alone is often insufficient for definitive diagnosis. Cardiovascular magnetic resonance (CMR) provides comprehensive tissue characterization. Case summary: We present a case series illustrating the heterogeneous spectrum of cardiac masses encountered in both oncologic and non-oncologic patients. Clinical scenarios included intracardiac metastases, tumour-related thrombus, bland thrombi, and benign primary tumours, such as rhabdomyoma and myxoma. In all cases, CMR was pivotal for tissue characterization using multiparametric assessment. Discussion: This series highlights the limitations of morphology-based assessment and emphasizes the value of a structured multiparametric CMR approach. Key features, such as perfusion, enhancement pattern, tissue heterogeneity, and infiltrative behaviour, allow reliable differentiation between thrombi and neoplastic lesions. Beyond illustrating individual cases, this series proposes a structured multiparametric CMR algorithm applicable across diverse clinical scenarios, emphasizing its role in medical practice and diagnostic decision-making.

Indexed as

Cardiac massesCardiac metastasisCardiac tumoursCardiovascular magnetic resonanceCase reportIntracardiac thrombusTissue characterization and cardio-oncologyTumour-related thrombus

Identifiers

PMID42516944
PMCPMC13402570

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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.