Evidence map›Paper›PMID 24039540›Full record

ArticleNew journal of physics2013

Modeling of nanotherapeutics delivery based on tumor perfusion.

Anne L van de Ven, Behnaz Abdollahi, Carlos J Martinez, Lacey A Burey, Melissa D Landis, Jenny C Chang, Mauro Ferrari, Hermann B Frieboes

Abstract read
In one paragraph

Article in New journal of physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. The Role of Optical Imaging in Translational Nanomedicine.Journal of functional biomaterials · 2022
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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  12. Molecular Imaging in Nanotechnology and Theranostics.Molecular imaging and biology · 2017
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

8 authors.

Anne L van de VenDepartment of Nanomedicine, The Methodist Hospital Research Institute, 6670 Bertner Avenue, Houston, TX 77030.
Behnaz Abdollahi
Carlos J Martinez
Lacey A Burey
Melissa D Landis
Jenny C Chang
Mauro Ferrari
Hermann B Frieboes

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GROSS, MITCHELL E · 2009 to 2013
$15.2M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DECUZZI, PAOLO · 2010 to 2014
$12.4M
TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PEPPAS, NICHOLAS A · 2009 to 2014
$10.8M
The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
Targeting Notch, PI3K-AKT and Other Novel Pathways in Breast Cancer Stem CellsR01CA138197 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CHANG, JENNY C-N, LEWIS, MICHAEL T. · 2008 to 2012
$2.3M
NCI NIH HHS R01 CA138197NCI NIH HHS U54 CA143837NCI NIH HHS U54 CA143907NCI NIH HHS U54 CA149196NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

Heterogeneities in the perfusion of solid tumors prevent optimal delivery of nanotherapeutics. Clinical imaging protocols to obtain patient-specific data have proven difficult to implement. It is challenging to determine which perfusion features hold greater prognostic value and to relate measurements to vessel structure and function. With the advent of systemically administered nanotherapeutics, whose delivery is dependent on overcoming diffusive and convective barriers to transport, such knowledge is increasingly important. We describe a framework for the automated evaluation of vascular perfusion curves measured at the single vessel level. Primary tumor fragments, collected from triple-negative breast cancer patients and grown as xenografts in mice, were injected with fluorescence contrast and monitored using intravital microscopy. The time to arterial peak and venous delay, two features whose probability distributions were measured directly from time-series curves, were analyzed using a Fuzzy C-mean (FCM) supervised classifier in order to rank individual tumors according to their perfusion characteristics. The resulting rankings correlated inversely with experimental nanoparticle accumulation measurements, enabling modeling of nanotherapeutics delivery without requiring any underlying assumptions about tissue structure or function, or heterogeneities contained within. With additional calibration, these methodologies may enable the study of nanotherapeutics delivery strategies in a variety of tumor models.

Indexed as

cancerdata classifierintravital microscopynanoparticlesvasculature

Identifiers

PMID24039540
PMCPMC3770306

What OpenQuestion holds

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Registered trials

None linked

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.