Paper
28 February 2014 In-vivo measurements of oxy- and deoxyhemoglobin levels in breast cancer xenografts in a mammary window chamber model
Author Affiliations +
Proceedings Volume 8937, Multimodal Biomedical Imaging IX; 89370C (2014) https://doi.org/10.1117/12.2037835
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
Cancer cells are characterized by adaptive features that allow them to evade apoptosis and proliferate in an unchecked manner in the host tissue. Therapeutic strategies often involve targeting those adaptive molecular pathways leading to downstream effects such as changes in perfusion, metabolic rate, and/or oxygen utilization in the malignant tissue. Such surrogate biomarkers can be used to monitor therapeutic response, optimize treatment protocols, or assist in development of new therapeutic approaches. In this study, we present an optical methodology to make in vivo measurements of oxygen saturation as a surrogate biomarker in breast cancer xenografts within a mouse mammary window chamber (MWC) model. By using multi-spectral measurements of the reflectance off the tissue under the coverslip of the window chamber, we are able to obtain high resolution maps of the variation of oxygenation levels of the tissue, which allow continuous tracking of the level of tissue oxygenation during tumor growth and following treatment. The MWC, which was designed and fabricated in-house, is compatible with multiple imaging modalities such as MRI and high resolution intravital microscopy, providing the capability for cross validation of oxygenation measurements on multiple imaging platforms.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Min Leung, Rachel Schafer, and Arthur F. Gmitro "In-vivo measurements of oxy- and deoxyhemoglobin levels in breast cancer xenografts in a mammary window chamber model", Proc. SPIE 8937, Multimodal Biomedical Imaging IX, 89370C (28 February 2014); https://doi.org/10.1117/12.2037835
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KEYWORDS
Tumors

Tissues

Breast cancer

Blood

Oxygen

In vivo imaging

Magnetic resonance imaging

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