Evidence map›Paper›PMID 42154879›Full record

ArticleArquivos brasileiros de cardiologia2026

Interstitial Myocardial Fibrosis Analysis by Histology and Cardiac Magnetic Resonance in Severe Aortic Valve Disease.

Juliana Hiromi Silva Matsumoto Bello, Lea M M F Demarchi, Rafael Almeida Fonseca, Gabriele N Lima, Lucas José Tachotti Pires, Vitor E E Rosa, Roney Orismar Sampaio, Paulo S Gutierrez, Vera D Aiello, Flávio Tarasoutchi and 1 more

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2026. 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

11 authors.

Juliana Hiromi Silva Matsumoto BelloInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.ORCID http://orcid.org/0000-0003-3161-6396
Lea M M F DemarchiHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Rafael Almeida FonsecaInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Gabriele N LimaHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Lucas José Tachotti PiresInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Vitor E E RosaHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.ORCID http://orcid.org/0000-0001-6521-2870
Roney Orismar SampaioInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.ORCID http://orcid.org/0000-0002-7566-2426
Paulo S GutierrezHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Vera D AielloHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.
Flávio TarasoutchiInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.ORCID http://orcid.org/0000-0002-9964-3289
Carlos E RochitteInstituto do Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP - Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAortic valve disease may lead to the accumulation of myocardial fibrosis (MF). Cardiac magnetic resonance (CMR) with late gadolinium enhancement (LGE) evaluates regional fibrosis but does not detect interstitial fibrosis, which can be estimated by extracellular volume (ECV) using native (pre-contrast) and post-contrast T1 mapping.

objectivesTo compare MF measured by collagen volume fraction (CVF) in myocardial biopsy with LGE and ECV in patients with severe aortic valve disease.

methodsA total of 108 patients undergoing aortic valve replacement with myocardial biopsy and preoperative CMR were included. LGE and ECV were compared with CVF using Pearson or Spearman correlation coefficients, diagnostic performance analysis, and agreement testing. Statistical significance was set at p < 0.05.

resultsIncreased CVF was observed in 96% of patients (21.9 ± 5.5%), LGE in 44% (1.3 ± 3%), and increased ECV in 33.3% (29.0 ± 4.0%). Moderate correlations were found between LGE and CVF and between ECV and CVF (r = 0.44 and r = 0.36, respectively; p = 0.001). LGE and ECV demonstrated sensitivities of 64.8% and 40.7%, specificities of 77.8% and 74.1%, and accuracies of 71% and 57%, respectively, using CVF above the median as the reference for MF. Agreement between CVF and ECV revealed a mean difference of -0.167 and a Cohen's kappa value of 0.171.

conclusionsCMR detects MF in patients with severe aortic valve disease confirmed by biopsy. LGE and ECV show moderate correlation with CVF. Combined analysis of LGE and ECV may provide complementary information; however, additional studies are needed to determine their prognostic impact.

Indexed as

Aortic ValveAortic Valve DiseaseMagnetic Resonance ImagingMyocardiumAgedAortic Valve StenosisBiopsyCollagenContrast MediaFemaleFibrosisHumansMaleMiddle AgedReference ValuesReproducibility of ResultsCollagenContrast Media

Identifiers

PMID42154879
PMCPMC13148856

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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.