Evidence map›Paper›PMID 31882712›Full record

ArticleScientific reports2019

Magnetic resonance microscopy and correlative histopathology of the infarcted heart.

Itziar Perez-Terol, Cesar Rios-Navarro, Elena de Dios, Jose M Morales, Jose Gavara, Nerea Perez-Sole, Ana Diaz, Gema Minana, Remedios Segura-Sabater, Clara Bonanad and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

19 authors at 6 institutions in 2 countries.

Itziar Perez-TerolLaboratory of Metabolomics, Institute of Health Research-INCLIVA, Valencia, Spain.
Cesar Rios-NavarroDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Elena de DiosDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Jose M MoralesLaboratory of Metabolomics, Institute of Health Research-INCLIVA, Valencia, Spain.ORCID http://orcid.org/0000-0002-4404-6735
Jose GavaraDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Nerea Perez-SoleDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Ana DiazUnidad Central de Investigación Biomédica, University of Valencia, Valencia, Spain.
Gema MinanaDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Remedios Segura-SabaterLaboratory of Metabolomics, Institute of Health Research-INCLIVA, Valencia, Spain.
Clara BonanadDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Antoni Bayés-GenisCentro de Investigación Biomédica en Red - Cardiovascular (CIBER-CV), Madrid, Spain.
Oliver HusserDepartment of Cardiology, St.-Johannes-Hospital, Dortmund, Germany.
Jose V MonmeneuCardiovascular Magnetic Resonance Unit, ERESA, Valencia, Spain.
Maria P Lopez-LereuCardiovascular Magnetic Resonance Unit, ERESA, Valencia, Spain.
Julio NunezDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Francisco J ChorroDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain.
Amparo Ruiz-SauriPathology Department, School of Medicine, University of Valencia, Valencia, Spain.
Vicente BodiDepartment of Cardiology, Hospital Clínico Universitario, INCLIVA, Valencia, Spain. vicente.bodi@uv.es.
Daniel MonleonLaboratory of Metabolomics, Institute of Health Research-INCLIVA, Valencia, Spain. daniel.monleon@uv.es.ORCID http://orcid.org/0000-0002-4803-1573
Universitat de València · ESHospital Clínico Universitario de Valencia · ESEndesa (Spain) · ESINCLIVA Health Research Institute · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESSt.-Johannes-Hospital Dortmund · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delayed enhancement cardiovascular magnetic resonance (MR) is the gold-standard for non-invasive assessment after myocardial infarction (MI). MR microscopy (MRM) provides a level of detail comparable to the macro objective of light microscopy. We used MRM and correlative histopathology to identify infarct and remote tissue in contrast agent-free multi-sequence MRM in swine MI hearts. One control group (n = 3 swine) and two experimental MI groups were formed: 90 min of ischemia followed by 1 week (acute MI = 6 swine) or 1 month (chronic MI = 5 swine) reperfusion. Representative samples of each heart were analysed by contrast agent-free multi-sequence (T1-weighting, T2-weighting, T2*-weighting, T2-mapping, and T2*-mapping). MRM was performed in a 14-Tesla vertical axis imager (Bruker-AVANCE 600 system). Images from MRM and the corresponding histopathological stained samples revealed differences in signal intensities between infarct and remote areas in both MI groups (p-value < 0.001). The multivariable models allowed us to precisely classify regions of interest (acute MI: specificity 92% and sensitivity 80%; chronic MI: specificity 100% and sensitivity 98%). Probabilistic maps based on MRM images clearly delineated the infarcted regions. As a proof of concept, these results illustrate the potential of MRM with correlative histopathology as a platform for exploring novel contrast agent-free MR biomarkers after MI.

Indexed as

AnimalsDisease Models, AnimalHumansMagnetic Resonance ImagingMicroscopyMyocardial InfarctionSwine

Identifiers

PMID31882712
PMCPMC6934559
OpenAlexW2997868339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.