bioRxivCancer Biology
Non-Invasive monitoring of normal tissue radiation damage using quantitative ultrasound spectroscopy
M. Rafat, A. El Kaffas, A. Swarnakar, A. Shostak, E. E. Graves
Abstract
BackgroundWhile radiation therapy (RT) is an critical component of breast cancer therapy and is known to decrease overall local recurrence rates, recent studies have shown that normal tissue radiation damage may increase recurrence risk. Fibrosis is a well-known consequence of RT, but the specific sequence of molecular and mechanical changes induced by RT remains poorly understood. PurposeThere is currently a need to understand the contribution of the irradiated tissue microenvironment to recurrence to improve cancer therapy outcomes. This study seeks to evaluate the use of quantitative ultrasound spectroscopy (QUS) for real time determination of the normal tissue characteristic radiation response and to correlate these results to molecular features in irradiated tissues. MethodsMurine mammary fat pads (MFPs) were irradiated to 20 Gy, and QUS was used to analyze tissue physical properties pre-irradiation as well as at 1, 5, and 10 days post-irradiation. Tissues were processed for scanning electron microscopy imaging as well as histological and immunohistochemical staining to evaluate morphology and structure. ResultsTissue morphological and structural changes were observed non-invasively following radiation using mid-band fit (MBF), spectral slope (SS), and spectral intercept (SI) measurements obtained from QUS. Statistically significant shifts in MBF and SI indicate structural tissue changes in real time, which matched histological observations. Radiation damage was indicated by increased adipose tissue density and extracellular matrix (ECM) deposition. ConclusionsOur findings demonstrate the potential of using QUS to non-invasively evaluate normal tissue changes resulting from radiation damage. This supports further pre-clinical studies to determine how the tissue microenvironment and physical properties change in response to therapy, which may be important for improving treatment strategies.
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: spatial domain detection
- approach: experimental assay
- approach: microscopy & imaging analysis
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