Evidence map›Paper›PMID 38347280›Full record

ArticleAnnals of nuclear medicine2024

Radiolabeled florescent-magnetic graphene oxide nanosheets: probing the biodistribution of a potential PET-MRI hybrid imaging agent for detection of fibrosarcoma tumor.

Ahad Amiri, Yousef Fazaeli, Hakimeh Zare, Mohammad Eslami-Kalantari, Shahzad Feizi, Zahra Shahedi, Mohammadreza Afrasyabi

Abstract read
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In one paragraph

Article in Annals of nuclear medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Radiolabeled AgScientific reports · 2026
    Article
  4. Review
  5. Article
  6. 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

7 authors.

Ahad AmiriDepartment of Physics, Yazd University, P.O. Box 89195-714, Yazd, Iran.
Yousef FazaeliRadiation Application Research School, Nuclear Science and Technology Research Institute (NSTRI), Moazzen Blvd., Rajaeeshahr, P.O. Box 31485-498, Karaj, Iran. yfazaeli@aeoi.org.ir.ORCID http://orcid.org/0000-0002-3952-2987
Hakimeh ZareDepartment of Physics, Yazd University, P.O. Box 89195-714, Yazd, Iran.
Mohammad Eslami-KalantariDepartment of Physics, Yazd University, P.O. Box 89195-714, Yazd, Iran.
Shahzad FeiziRadiation Application Research School, Nuclear Science and Technology Research Institute (NSTRI), Moazzen Blvd., Rajaeeshahr, P.O. Box 31485-498, Karaj, Iran.
Zahra ShahediDepartment of Physics, Yazd University, P.O. Box 89195-714, Yazd, Iran.
Mohammadreza AfrasyabiRadiation Application Research School, Nuclear Science and Technology Research Institute (NSTRI), Moazzen Blvd., Rajaeeshahr, P.O. Box 31485-498, Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRadiolabeled graphene oxide (GO) nanosheets has been one of the most extensively studied nanoplatform for in vivo radioisotope delivery. Herein, we describe the functionalization of the surface of GO nanosheets with Fe MATERIALS AND

methodsTo enable In vivo PET imaging, the GO@Fe

resultsLiver, blood and tumor were the most accumulated sites at 1 h after the injection, and the radiolabeled nanocomposite as a PET/MRI imaging agent showed fast depletion from body and acceptable tumor uptake.

conclusionMagnetic (Fe

Indexed as

Cadmium CompoundsFibrosarcomaGraphiteQuantum DotsAnimalsGallium RadioisotopesMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyRadioisotopesRatsTelluriumTissue DistributionCadmium Compoundscadmium tellurideGallium Radioisotopesgraphene oxideGraphiteRadioisotopesTellurium68GaFibrosarcoma tumorPET-MRI imagingRadiolabeled graphene oxide

Identifiers

PMID38347280

What OpenQuestion holds

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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.