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Quantitative imaging of light-triggered doxorubicin release
Jeremy Kress1, Daniel J Rohrbach1, Kevin A Carter2
1Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA ; Department of Biomedical, Industrial & Human Factors Engineering, Wright State University, Dayton, OH, USA.
Biomedical Optics Express
|September 30, 2015
Summary
This study shows how to track anti-cancer drug Doxorubicin (DOX) distribution non-invasively. Spatial frequency domain imaging quantifies drug release from novel liposomes, improving chemotherapy delivery.
Area of Science:
- Biomedical Engineering
- Optical Imaging
- Drug Delivery Systems
Background:
- Chemotherapy efficacy depends on drug concentration at tumor sites.
- Doxorubicin (DOX) is a widely used anti-cancer drug, available in liposomal formulations.
- Targeted drug delivery aims to improve bioavailability and reduce side effects.
Purpose of the Study:
- To develop and demonstrate a non-invasive method for quantifying Doxorubicin (DOX) distribution.
- To assess the feasibility of monitoring light-triggered drug release from a novel porphyrin-phospholipid (PoP)-liposome system.
- To enable real-time tracking of drug concentration and distribution in target areas.
Main Methods:
- Development of a porphyrin-phospholipid (PoP)-liposome system for on-demand DOX release via near-infrared irradiation.
- Utilized spatial frequency domain imaging (SFDI) for quantitative Doxorubicin (DOX) distribution mapping.
- Experiments conducted in phantoms and an animal carcass model.
Main Results:
- Successfully quantified Doxorubicin (DOX) distribution following light-triggered release.
- Demonstrated the feasibility of non-invasive mapping of DOX in phantoms and an animal carcass.
- Spatial frequency domain imaging provided quantitative insights into drug distribution.
Conclusions:
- The developed PoP-liposome system enables controlled, light-triggered release of DOX.
- Non-invasive quantitative mapping of DOX distribution using SFDI is feasible.
- This approach holds promise for improving chemotherapy monitoring and treatment efficacy.
