Evidence map›Paper›PMID 38807360›Full record

ArticleInorganic chemistry2024

Nanoparticulated Bimodal Contrast Agent for Ultra-High-Field Magnetic Resonance Imaging and Spectral X-ray Computed Tomography.

Daniel González-Mancebo, Ana Isabel Becerro, Carlos Caro, Elisabet Gómez-González, María Luisa García-Martín, Manuel Ocaña

Abstract read
In one paragraph

Article in Inorganic chemistry, 2024. 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. 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

6 authors.

Daniel González-ManceboInstituto de Ciencia de Materiales de Sevilla (CSIC-US), c/Américo Vespucio, 49, Seville 41092, Spain.
Ana Isabel BecerroInstituto de Ciencia de Materiales de Sevilla (CSIC-US), c/Américo Vespucio, 49, Seville 41092, Spain.ORCID 0000-0003-2243-5438
Carlos CaroBiomedical Magnetic Resonance Laboratory-BMRL, Andalusian Public Foundation Progress and Health-FPS, Seville 41092, Spain.
Elisabet Gómez-GonzálezInstituto de Ciencia de Materiales de Sevilla (CSIC-US), c/Américo Vespucio, 49, Seville 41092, Spain.
María Luisa García-MartínBiomedical Magnetic Resonance Laboratory-BMRL, Andalusian Public Foundation Progress and Health-FPS, Seville 41092, Spain.ORCID 0000-0002-2257-7682
Manuel OcañaInstituto de Ciencia de Materiales de Sevilla (CSIC-US), c/Américo Vespucio, 49, Seville 41092, Spain.ORCID 0000-0001-9989-606X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bimodal medical imaging based on magnetic resonance imaging (MRI) and computed tomography (CT) is a well-known strategy to increase the diagnostic accuracy. The most recent advances in MRI and CT instrumentation are related to the use of ultra-high magnetic fields (UHF-MRI) and different working voltages (spectral CT), respectively. Such advances require the parallel development of bimodal contrast agents (CAs) that are efficient under new instrumental conditions. In this work, we have synthesized, through a precipitation reaction from a glycerol solution of the precursors, uniform barium dysprosium fluoride nanospheres with a cubic fluorite structure, whose size was found to depend on the Ba/(Ba + Dy) ratio of the starting solution. Moreover, irrespective of the starting Ba/(Ba + Dy) ratio, the experimental Ba/(Ba + Dy) values were always lower than those used in the starting solutions. This result was assigned to lower precipitation kinetics of barium fluoride compared to dysprosium fluoride, as inferred from the detailed analysis of the effect of reaction time on the chemical composition of the precipitates. A sample composed of 34 nm nanospheres with a Ba

Identifiers

PMID38807360
PMCPMC11167642

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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.