KEYWORDS: Radiotherapy, Oxygen, Tumors, Photoacoustic spectroscopy, Photoacoustic imaging, Imaging spectroscopy, Tumor growth modeling, Signal generators, In vivo imaging, Chemical analysis
Presented here is an application of the new approach of chemical imaging, performing an in-vivo chemical analysis, to predict a given tumor’s response to radiation therapy. Cancer tumors’ oxygen distributions in PDX mice was imaged by photoacoustic imaging with tumor-targeted oxygen sensor nanoparticles. Following radiation therapy, we established a quantitatively significant correlation between the spatial distribution of the initial oxygen levels and the spatial distribution of the therapy’s efficacy: the higher the local oxygen, the higher the local radiation therapy efficacy. The presented cancer chemical imaging provides a non-invasive method to predict the efficacy of radiotherapy for a given tumor.
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