Evidence map›Paper›PMID 34695296›Full record

ArticleIET nanobiotechnology2021

Observation of targeted gold nanoparticles in nasopharyngeal tumour nude mice model through dual-energy computed tomography.

Sara Khademi, Ali Shakeri-Zadeh, Razieh Solgi, Hosein Azimian, Hossein Ghadiri

Open access · goldAbstract read
In one paragraph

Article in IET nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 3 institutions in 1 country.

Sara KhademiDepartment of Radiology Technology, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0001-9823-8014
Ali Shakeri-ZadehMedical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Razieh SolgiDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.
Hosein AzimianMedical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hossein GhadiriDepartment of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-7903-6273
Mashhad University of Medical Sciences · IRTehran University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

Tehran University of Medical Sciences and Health Services 30853
6 · The paper itself

Abstract

This study was performed to specify the efficiency of imaging nanoparticle concentration as contrast media in dual-energy computed tomography (DECT). Gold nanoparticles (AuNPs) and gold nanoparticles-conjugated folic acid through cysteamine (FA-Cya-AuNPs) were both considered as contrast agents. Characterization of NPs was performed using Dynamic Light Scattering (DLS) and zeta potential. The hemocompatibility of NPs was confirmed by different blood parameters such as white blood cell, red cell distribution width, hemoglobin, lymphocytes counts and haemolysis assay. DECT algorithm was confirmed using calibration phantom at different concentrations of NPs and tube potentials (80 and 140 kVp). Then, DECT was used to quantify the concentration of both AuNPs and FA-Cys-AuNPs in human nasopharyngeal cancer cells. Mice were injected with non-targeted AuNPs and targeted AuNps at a concentration of 3 × 10

Indexed as

Metal NanoparticlesNasopharyngeal NeoplasmsAnimalsCell Line, TumorGoldMiceMice, NudeTomographyGold

Identifiers

PMID34695296
PMCPMC8675847
OpenAlexW3136513266

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.