Evidence map›Paper›PMID 30686945›Full record

ArticleContrast media & molecular imaging2018

A Library of Potential Nanoparticle Contrast Agents for X-Ray Fluorescence Tomography Bioimaging.

Yuyang Li, Kian Shaker, Jakob C Larsson, Carmen Vogt, Hans M Hertz, Muhammet S Toprak

Abstract read
In one paragraph

Article in Contrast media & molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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.

Yuyang LiDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.
Kian ShakerDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.
Jakob C LarssonDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.
Carmen VogtDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.
Hans M HertzDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.
Muhammet S ToprakDepartment of Applied Physics, Biomedical and X-ray Physics, KTH Royal Institute of Technology/Albanova, SE 106 91 Stockholm, Sweden.ORCID 0000-0001-5678-5298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles (NPs) have been used as contrast agents for several bioimaging modalities. X-ray fluorescence (XRF) tomography can provide sensitive and quantitative 3D detection of NPs. With spectrally matched NPs as contrast agents, we demonstrated earlier in a laboratory system that XRF tomography could achieve high-spatial-resolution tumor imaging in mice. Here, we present the synthesis, characterization, and evaluation of a library of NPs containing Y, Zr, Nb, Rh, and Ru that have spectrally matched K-shell absorption for the laboratory scale X-ray source. The K-shell emissions of these NPs are spectrally well separated from the X-ray probe and the Compton background, making them suitable for the lab-scale XRF tomography system. Their potential as XRF contrast agents is demonstrated successfully in a small-animal equivalent phantom, confirming the simulation results. The diversity in the NP composition provides a flexible platform for a better design and biological optimization of XRF tomography nanoprobes.

Indexed as

Contrast MediaMetals, HeavySpectrometry, X-Ray EmissionTomography, X-Ray ComputedAnimalsMetal NanoparticlesMiceNeoplasms, ExperimentalPhantoms, ImagingContrast MediaMetals, Heavy

Identifiers

PMID30686945
PMCPMC6327276

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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.