Cited by 74Nanoparticle-Based Drug DeliveryNanoplatforms for cancer theranosticsNanotechnology research and applications

Imaging-assisted anticancer nanotherapy

Open access
Dasgupta, Anshuman, Biancacci, Ilaria, Kiessling, Fabian, Lammers, Twan·2020·Theranostics

Abstract

Cancer nanomedicines are submicrometer-sized formulations designed to improve the biodistribution of anticancer drugs, resulting in less off-target localization, altered toxicity profiles, improved target site accumulation and enhanced efficacy. Together, these beneficial features have resulted in the regulatory approval of about a dozen nanomedicines for the treatment of solid and hematological malignancies. In recent years, significant progress has been made in combining nanomedicines with imaging, to better understand key aspects of the tumor-targeted drug delivery process, and to address the high inter- and intra-individual heterogeneity in the Enhanced Permeability and Retention (EPR) effect. Strategies explored in this regard have included the use of traditional imaging techniques, companion diagnostics and nanotheranostics. Preclinically, integrating imaging in nanomedicine and drug delivery research has enabled the non-invasive and quantitative assessment of nanocarrier biodistribution, target site accumulation and (triggered) drug release. Clinically, imaging has been emerging as a promising tool for patient stratification, which is urgently needed to improve the translation of cancer nanomedicines. We here summarize recent progress in imaging-assisted anticancer nanotherapy and we discuss future strategies to improve the performance of cancer nanomedicines in patients.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.7150/thno.38288

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Imaging assists in determining nanodrug distribution, target tumor site accumulation, and drug release.

    “Imaging assists in determining nanodrug distribution, target tumor site accumulation, and drug release [126].”
  • Upon intravenous injection, the FRET/Cy5.5 intensity ratio was determined to evaluate NP-drug association demonstrating Cy7-X with the polymeric matrix had the highest NP association and inhibited early drug release.

    “Upon intravenous (i.v.) injection, the FRET/Cy5.5 intensity ratio was determined to evaluate NP-drug association demonstrating Cy7-X with the polymeric matrix had the highest NP association and inhibited early drug release [126].”
  • Cy5.5-PLGA NPs and an encapsulated Cy7X model drug were utilized to investigate NP-drug association and release kinetics with in vivo optical imaging in a mouse model of the TNBC cell line MDA-MB-231.

    “Cy5.5-PLGA NPs and an encapsulated Cy7X model drug was utilized to investigate the NP–drug association and release kinetics with in vivo optical imaging in a mouse model of the TNBC cell line MDA-MB-231.”
  • Combination of nanodrugs with imaging modalities is crucial for visualizing tumor-targeted drug delivery processes, and inter- and intraindividual heterogeneity in EPR-based drug delivery.

    “The combination of nanodrugs with imaging modalities is crucial for visualizing tumor-targeted drug delivery processes, and inter- and intraindividual heterogeneity in EPR-based drug delivery [126].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 69 · Cited by 74

Authors
Dasgupta, A., Biancacci, I., Kiessling, F., & Lammers, T.
Affiliations
  • Universitätsklinikum Aachen (DE)
  • Utrecht University (NL)
Corresponding author
  • Dasgupta, Anshuman
  • Biancacci, Ilaria
Venue
Theranostics
Published
2020
Volume
10
Issue
3
Pages
956-967
ISSN
1838-7640 (ISSN-L)
OpenAlex
W2992581850
Cited by
74
References
69
Citations by year
2026: 8 · 2025: 12 · 2024: 12 · 2023: 10 · 2022: 6 · 2021: 14 · 2020: 12
FWCI
0.51
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Theranostics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Twente Research Information (publishedVersion, cc-by)
  • RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
  • University of Twente Research Information (submittedVersion, cc-by)
Funders
  • European Commission (NSC4DIPG, EuroNanoMed-III: NSC4DIPG)
  • National Science Council
  • FP7 Ideas: European Research Council (309495)
Topics
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
  • Physical Sciences › Engineering › Biomedical Engineering › Nanotechnology research and applications
Keywords
cancer nanomedicine, nanotheranostics, enhanced permeability and retention effect, tumor heterogeneity, triggered drug release, companion diagnostics, patient stratification
MeSH terms
Theranostic Nanomedicine, Animals, Antineoplastic Agents, Humans, Neoplasms, Drug Delivery Systems, Nanoparticles

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