Elasticity-based identification of tumor margins using Brillouin spectroscopy

Maria Troyanova-Wood; Zhaokai Meng; Vladislav V. Yakovlev

doi:10.1117/12.2213268

9 March 2016 Elasticity-based identification of tumor margins using Brillouin spectroscopy

Maria Troyanova-Wood, Zhaokai Meng, Vladislav V. Yakovlev

Proceedings Volume 9719, Biophysics, Biology, and Biophotonics: the Crossroads; 97190P (2016) https://doi.org/10.1117/12.2213268
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

The purpose of this study is to demonstrate the efficacy of using Brillouin spectroscopy for differentiation between healthy and cancerous tissues. Previous studies of various cancers indicate that elasticity of the tumor differs from that of the surrounding tissue. We hypothesize that it is possible to distinguish between normal and malignant areas based on their Brillouin measurements. Brillouin spectroscopy is an emerging spectroscopic technique capable of assessing the local elasticity of samples by measuring the Brillouin shift. In the present study, we have used malignant melanoma tissue samples from Sinclair miniature swine to demonstrate the validity of our proposed application. We performed Brillouin measurements on healthy tissue, normal tumor and regressing tumor (as indicated by depigmentation of tissue). Overall, the tumors were found to be stiffer than the surrounding healthy tissue. However, the regressing tumor displayed the elastic properties closer to that of the healthy tissue. Based on the Brillouin measurements, we have successfully differentiated between the tumor and healthy tissues with a high degree of confidence (p<10⁴ for normal tumor, p<0.05 for regressing tumor). Our results indicate that Brillouin spectroscopy is an appropriate tool to not only pinpoint tumor boundaries, but also to monitor tumor growth or evaluate its response to treatment.

Conference Presentation

Citation Download Citation

Maria Troyanova-Wood, Zhaokai Meng, and Vladislav V. Yakovlev "Elasticity-based identification of tumor margins using Brillouin spectroscopy", Proc. SPIE 9719, Biophysics, Biology, and Biophotonics: the Crossroads, 97190P (9 March 2016); https://doi.org/10.1117/12.2213268

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