Cited by 164Radiopharmaceutical Chemistry and ApplicationsNanoparticle-Based Drug DeliveryNanoplatforms for cancer theranostics

Liposome imaging agents in personalized medicine

Petersen, Anncatrine L., Hansen, Anders E., Gabizon, Alberto, Andresen, Thomas L.·2012·Advanced Drug Delivery Reviews

Abstract

In recent years the importance of molecular and diagnostic imaging has increased dramatically in the treatment planning of many diseases and in particular in cancer therapy. Within nanomedicine there are particularly interesting possibilities for combining imaging and therapy. Engineered liposomes that selectively localize in tumor tissue can transport both drugs and imaging agents, which allows for a theranostic approach with great potential in personalized medicine. Radiolabeling of liposomes have for many years been used in preclinical studies for evaluating liposome in vivo performance and has been an important tool in the development of liposomal drugs. However, advanced imaging systems now provide new possibilities for non-invasive monitoring of liposome biodistribution in humans. Thus, advances in imaging and developments in liposome radiolabeling techniques allow us to enter a new arena where we start to consider how to use imaging for patient selection and treatment monitoring in connection to nanocarrier based medicines. Nanocarrier imaging agents could furthermore have interesting properties for disease diagnostics and staging. Here, we review the major advances in the development of radiolabeled liposomes for imaging as a tool in personalized medicine.

Integrity signals

Registry

Crossref · 10.1016/j.addr.2012.09.003

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Radiolabeled liposomes can be used to both identify the tumor and treat it while also determining the bio-distribution of liposomes in the body.

    “Radiolabeled liposomes can be used to both identify the tumor and treat it while also determining the bio-distribution of liposomes in the body.52”

    From Smart nanoparticles for cancer therapy (2023) · cites this paper as [52]

The citation lists haven’t been fetched yet

References 202 · Cited by 164

Authors
Petersen, A. L., Hansen, A. E., Gabizon, A., & Andresen, T. L.
Affiliations
  • Technical University of Denmark (DK)
  • Copenhagen University Hospital (DK)
Corresponding author
Andresen, Thomas L.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2012-10
Volume
64
Issue
13
Pages
1417-1435
ISSN
0169-409X (ISSN-L)
OpenAlex
W1978069569
Cited by
164
References
202
Citations by year
2026: 3 · 2025: 8 · 2024: 5 · 2023: 11 · 2022: 10 · 2021: 12 · 2020: 12 · 2019: 13 · 2018: 14 · 2017: 15 · 2016: 13 · 2015: 13 · 2014: 24 · 2013: 10 · 2012: 1
FWCI
2.08
Type
journal article
Language
en
Open access
closed
Locations
  • Advanced Drug Delivery Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
Funders
Lundbeckfonden (R105-2011-9829)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiopharmaceutical Chemistry and Applications
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
Keywords
radiolabeled liposomes, theranostics, personalized medicine, nanomedicine, molecular imaging, cancer diagnosis, liposome biodistribution, patient selection, treatment monitoring, nanocarriers, disease staging
MeSH terms
Animals, Diagnostic Imaging, Humans, Liposomes, Neoplasms, Radiopharmaceuticals, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review