Evidence map›Paper›PMID 35253921›Full record

ArticleMagnetic resonance in medicine2022

The interaction between iodinated X-ray contrast agents and macrocyclic GBCAs provides a signal enhancement in T

Enza Di Gregorio, Francesca Arena, Eliana Gianolio, Giuseppe Ferrauto, Silvio Aime

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. 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
0.3field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  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

5 authors at 2 institutions in 1 country.

Enza Di GregorioMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.ORCID 0000-0002-1950-3957
Francesca ArenaMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.
Eliana GianolioMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.ORCID 0000-0002-7130-4445
Giuseppe FerrautoMolecular Imaging Center, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.ORCID 0000-0003-4937-6140
Silvio AimeIstituto di ricovero e cura a carattere scientifico, Naples, Italy.
University of Turin · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis work aims to investigate the supramolecular binding interactions that occur between iodinated X-ray contrast agents (CAs) and macrocyclic gadolinium (Gd)-based MRI contrast agents (GBCAs). This study provides some new insights in the renal excretion pathways of the two types of imaging probes.

methodsThe water-proton relaxivities (r

resultsA significant increase in r

conclusionsThe reported results show that it is possible to detect the co-presence of iodinated agents and macrocyclic GBCAs in contrast-enhanced MR images. The new information may be useful in the design of novel experiments toward improved diagnostic outcomes.

Indexed as

Contrast MediaOrganometallic CompoundsAnimalsGadoliniumHeterocyclic CompoundsMagnetic Resonance ImagingMiceRenal EliminationTissue DistributionTriiodobenzoic AcidsX-RaysContrast MediaGadoliniumgadoteridolHeterocyclic CompoundsiodixanolOrganometallic CompoundsTriiodobenzoic Acidscontrast agentsGd-complexesiodinated X-raymagnetic resonance imagingX-ray CT

Identifiers

PMID35253921
PMCPMC9314041
OpenAlexW4220916417

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.