ReviewMolecular imaging and biology2013
Pharmacokinetic issues of imaging with nanoparticles: focusing on carbon nanotubes and quantum dots.
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.
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.
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.
Who cites it
9 citing papers in PubMed.
- Bridging the Resolution Gap in Recurrent Prostate Cancer Imaging: Quantum Dots as PSMA-Targeted Optical Probes.ACS omega · 2026Review
- Clinical translation of quantum dots.Nanomedicine (London, England) · 2024Article
- Centimeter-Deep NIR-II Fluorescence Imaging with Nontoxic AIE Probes in Nonhuman Primates.Research (Washington, D.C.) · 2020Article
- Recent advances in the preparation and application of multifunctional iron oxide and liposome-based nanosystems for multimodal diagnosis and therapy.Interface focus · 2016Review
- Quantification of Carbon Nanotubes in Environmental Matrices: Current Capabilities, Case Studies, and Future Prospects.Environmental science & technology · 2016Review
- Composites of Polymer Hydrogels and Nanoparticulate Systems for Biomedical and Pharmaceutical Applications.Nanomaterials (Basel, Switzerland) · 2015Review
- In Vivo Integrity and Biological Fate of Chelator-Free Zirconium-89-Labeled Mesoporous Silica Nanoparticles.ACS nano · 2015Article
- Inhalation treatment of lung cancer: the influence of composition, size and shape of nanocarriers on their lung accumulation and retention.Cancer biology & medicine · 2014Article
- Dawn of advanced molecular medicine: nanotechnological advancements in cancer imaging and therapy.Critical reviews in oncogenesis · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
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.