Evidence map›Paper›PMID 23715931›Full record

ReviewMolecular imaging and biology2013

Pharmacokinetic issues of imaging with nanoparticles: focusing on carbon nanotubes and quantum dots.

Hao Hong, Feng Chen, Weibo Cai

Abstract readReview
In one paragraph

Review in Molecular imaging and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Clinical translation of quantum dots.Nanomedicine (London, England) · 2024
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
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

3 authors.

Hao HongDepartment of Radiology, University of Wisconsin, Room 7137, 1111 Highland Avenue, Madison, WI, USA.
Feng Chen
Weibo Cai

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
Novel Combination Therapy for Prostate CancerR01CA169365 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAI, WEIBO · 2013 to 2015
$903k
NCI NIH HHS 1R01CA169365-01A1NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA169365
6 · The paper itself

Abstract

With many desirable properties, nanoparticles hold tremendous potential for in vivo molecular imaging and improving the efficacy of small-molecule drugs. The pharmacokinetics (PK) and tissue distribution of nanoparticles largely define their in vivo performance and potential toxicity, which are fundamental issues that need to be elucidated. In this review article, we summarized how molecular imaging techniques (e.g., positron emission tomography, fluorescence imaging, etc.) can facilitate the investigation of PK profiles of nanoparticles using carbon nanotubes (CNTs) and quantum dots (QDs) as representative examples. Different imaging techniques can provide useful insights in monitoring the in vivo behavior and tissue distribution of these nanoparticles, and a number of strategies were utilized to optimize the PK profiles of CNTs and QDs. Based on the available literature reports, it can be concluded that chemical/physical properties of the nanoparticles (e.g., surface functionalization, hydrodynamic size, shape, surface charge, etc.), along with the administration routes/doses, can play critical roles in determining the PK and biodistribution pattern of nanoparticles. Robust chemistry for surface modification of nanoparticles is a prerequisite for successful future biomedical/clinical applications.

Indexed as

Diagnostic ImagingMolecular ImagingNanoparticlesPharmacokineticsQuantum DotsAnimalsHumansNanotubes, CarbonNanotubes, Carbon

Identifiers

PMID23715931
PMCPMC3773279

What OpenQuestion holds

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Registered trials

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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.