ReviewJournal of functional biomaterials2022
The Role of Optical Imaging in Translational Nanomedicine.
Review in Journal of functional biomaterials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- Cell Membrane-Coated Biomimetic Nanocarriers for Plaque-Targeted Atherosclerosis Therapy: Molecular Mechanisms, Inflammatory Microenvironments, and Translational Challenges.International journal of molecular sciences · 2026Review
- Advances in Metal-based Nanotechnology-based Optical Therapy for the Targeted Treatment of Colorectal Cancer.Anti-cancer agents in medicinal chemistry · 2026Review
- Curcumin as theranostics: imaging-guided therapeutics in oncology and neurodegenerative diseases.Frontiers in nutrition · 2026Review
- Nanoparticle Detection in Biology and Medicine: A Review.Biosensors · 2025Review
- Advancements in nanotechnology for diagnostics: a literature review, part II: advanced techniques in nuclear and optical imaging.Nanomedicine (London, England) · 2025Review
- Revealing tumor cells and tissues with high selectivity through folic acid-targeted nanofluorescence probes responsive to acidic microenvironments.Frontiers in oncology · 2024Article
- Tumor-tropic Trojan horses: Using mesenchymal stem cells as cellular nanotheranostics.Theranostics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Nanomedicines have been a major research focus in the past two decades and are increasingly emerging in a broad range of clinical applications. However, a proper understanding of their biodistribution is required to further progress the field of nanomedicine. For this, imaging methods to monitor the delivery and therapeutic efficacy of nanoparticles are urgently needed. At present, optical imaging is the most common method used to study the biodistribution of nanomaterials, where the unique properties of nanomaterials and advances in optical imaging can jointly result in novel methods for optimal monitoring of nanomaterials in preclinical animal models. This review article aims to give an introduction to nanomedicines and their translational impact to highlight the potential of optical imaging to study the biodistribution of nanoparticles and to monitor the delivery and therapeutic efficacy at the preclinical level. After introducing both domains, the review focuses on different techniques that can be used to overcome some intrinsic limitations of optical imaging and how this can specifically benefit nanoparticle studies. Finally, we point out some important key features of nanoparticles that currently hinder their full potential in the clinic and how the advances in optical imaging can help to provide us with the information needed to further boost the clinical translation and expand the field of nanomedicines.
Indexed as
Identifiers
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.