An MRI-based classification scheme to predict passive access of 5 to 50-nm large nanoparticles to tumors.

Volume: 6, Issue: 21417, Pages: 21417 - 21417
Published: Feb 19, 2016
Abstract
Nanoparticles are useful tools in oncology because of their capacity to passively accumulate in tumors in particular via the enhanced permeability and retention (EPR) effect. However, the importance and reliability of this effect remains controversial and quite often unpredictable. In this preclinical study, we used optical imaging to detect the accumulation of three types of fluorescent nanoparticles in eight different subcutaneous and...
Paper Details
Title
An MRI-based classification scheme to predict passive access of 5 to 50-nm large nanoparticles to tumors.
Published Date
Feb 19, 2016
Volume
6
Issue
21417
Pages
21417 - 21417
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