A Computational Model for Predicting Nanoparticle Accumulation in Tumor Vasculature

  title={A Computational Model for Predicting Nanoparticle Accumulation in Tumor Vasculature},
  author={Hermann B. Frieboes and Min Wu and John Lowengrub and Paolo Decuzzi and Vittorio Cristini},
  booktitle={PloS one},
Vascular targeting of malignant tissues with systemically injected nanoparticles (NPs) holds promise in molecular imaging and anti-angiogenic therapies. Here, a computational model is presented to predict the development of tumor neovasculature over time and the specific, vascular accumulation of blood-borne NPs. A multidimensional tumor-growth model is integrated with a mesoscale formulation for the NP adhesion to blood vessel walls. The fraction of injected NPs depositing within the diseased… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 3 times. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 23 extracted citations

Nanoparticle Optimization for Enhanced Targeted Anticancer Drug Delivery.

Journal of biomechanical engineering • 2018
View 10 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 40 references

Rapid tumoritropic accumulation of systemically injected plateloid particles and their biodistribution.

Journal of controlled release : official journal of the Controlled Release Society • 2012
View 1 Excerpt

Physical oncology : a benchtobedside quantitative and predictive approach

HB Frieboes, MA Chaplain, AM Thompson, EL Bearer, JS Lowengrub
Cancer Res • 2011

Delivering nanomedicine to solid tumors

Nature Reviews Clinical Oncology • 2010
View 2 Excerpts

Similar Papers

Loading similar papers…