The importance of quantifying molecular/cellular events cannot be overemphasized for molecular imaging. For example, the use of nanoparticles as delivery vehicles for diagnostic and therapeutic agents requires accurate counts of nanoparticles accumulated at the diseased tissue to make diagnostic decisions and gauge therapeutic dose. The measurement of drug dose at targeted sites is essential for monitoring therapy. Quantitative accuracy and reproducibility have to be established to standardize and cross-validate molecular MRI methods. So far there is a lack of effective tools to quantify molecular/cellular events. In this work we will use quantitative susceptibility mapping (QSM) to map the distribution of super-paramagnetic iron oxide (SPIO) particles loaded with Paclitaxel. The successful execution of this work will lead to a robust, quantitative and accurate method for mapping magnetic markers in MRI. The resulting technique can be used to map and measure local drug dose delivered by magnetic nanoparticle vehicles targeting diseased tissue cells

Public Health Relevance

A big barrier to effective cancer therapy using nanoparticles is the inability to confirm and quantify drug delivery at the target. This project will investigate th use of quantitative susceptibility mapping (QSM), a novel magnetic resonance imaging (MRI) technique, to map the whole body distribution of super paramagnetic iron oxide (SPIO) particles loaded with Paclitaxel in a mouse.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31EB019883-02
Application #
8966554
Study Section
Special Emphasis Panel (ZRG1-F15-P (20))
Program Officer
Erim, Zeynep
Project Start
2014-11-16
Project End
2016-11-15
Budget Start
2015-11-16
Budget End
2016-11-15
Support Year
2
Fiscal Year
2016
Total Cost
$40,482
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Administration
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
Gorman, Andrew W; Deh, Kofi M; Schwiedrzik, Caspar M et al. (2018) Brain Iron Distribution after Multiple Doses of Ultra-small Superparamagnetic Iron Oxide Particles in Rats. Comp Med 68:139-147
Deh, Kofi; Nguyen, Thanh D; Eskreis-Winkler, Sarah et al. (2015) Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors. J Magn Reson Imaging 42:1592-600