Bowman, Tyler, Tanny Chavez, Kamrul Khan, Jingxian Wu, Avishek Chakraborty, Narasimhan Rajaram, Keith Bailey, and Magda El-Shenawee. "Pulsed terahertz imaging of breast cancer in freshly excised murine tumors." Journal of Biomedical Optics 23, no. 2 (2018): 026004.
Abstract
This paper investigates
terahertz (THz) imaging and classification of freshly excised murine xenograft
breast cancer tumors. These tumors are grown via injection of E0771 breast
adenocarcinoma cells into the flank of mice maintained on high-fat diet. Within
1 h of excision, the tumor and adjacent tissues are imaged using a pulsed
THz system in the reflection mode. The THz images are classified using a
statistical Bayesian mixture model with unsupervised and supervised approaches.
Correlation with digitized pathology images is conducted using classification
images assigned by a modal class decision rule. The corresponding receiver
operating characteristic curves are obtained based on the classification
results. A total of 13 tumor samples obtained from 9 tumors are investigated.
The results show good correlation of THz images with pathology results in all
samples of cancer and fat tissues. For tumor samples of cancer, fat, and muscle
tissues, THz images show reasonable correlation with pathology where the
primary challenge lies in the overlapping dielectric properties of cancer and
muscle tissues. The use of a supervised regression approach shows improvement
in the classification images although not consistently in all tissue regions.
Advancing THz imaging of breast tumors from mice and the development of
accurate statistical models will ultimately progress the technique for the
assessment of human breast tumor margins
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For full paper see https://www.spiedigitallibrary.org/journals/Journal-of-Biomedical-Optics/volume-23/issue-2/026004/Pulsed-terahertz-imaging-of-breast-cancer-in-freshly-excised-murine/10.1117/1.JBO.23.2.026004.short?SSO=1
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