Terahertz imaging of freshly excised breast cancer using mouse model

Bowman, Tyler; Alhallak, Kinan; Chavez, Tanny; Khan, Kamrul Hasan; Lee, Dakory; Rajaram, Narasimhan; Wu, Jingxian; Chakraborty, Avishek; Bailey, Keith; El-Shenawee, Magda

doi:10.1109/irmmw-thz.2017.8067153

Cited by 3 publications

(1 citation statement)

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“…29,30 Preliminary results using the methods in this work on a frozen tissue sample have been published in conference proceedings. 31,32 To the authors' knowledge, this is the first time the Bayesian mixture model has been applied to THz imaging applications, and it is also the first time that the E0771 breast adenocarcinoma cells have been used in THz imaging.…”

Section: Introductionmentioning

confidence: 99%

Pulsed terahertz imaging of breast cancer in freshly excised murine tumors

et al. 2018

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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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Section: Introductionmentioning

confidence: 99%