Presentation
9 March 2023 Photoacoustic oxygen imaging for prediction of radiation therapy efficacy
Author Affiliations +
Abstract
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.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Janggun Jo, Jeff Folz, Raoul Kopelman, Celina Kleer, and Xueding Wang "Photoacoustic oxygen imaging for prediction of radiation therapy efficacy", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC123790N (9 March 2023); https://doi.org/10.1117/12.2649303
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KEYWORDS
Oxygen

Radiotherapy

Tumors

Photoacoustic spectroscopy

Photoacoustic imaging

Imaging spectroscopy

Chemical analysis

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