Multimodal optical coherence tomography for quantitative diagnosis of breast cancer subtypes

Ekaterina V. Gubarkova; Alexander A. Sovetsky; Vladimir Y. Zaitsev; Dmitriy A. Vorontsov; Lev A. Matveev; Alexander L. Matveyev; Alexander A. Moiseev; Sergey S. Kuznetsov; Marina A. Sirotkina; Alexey Yu. Vorontsov; Gregory V. Gelikonov; Elena V. Zagaynova; Natalia D. Gladkova

doi:10.1117/12.2545695

21 February 2020 Multimodal optical coherence tomography for quantitative diagnosis of breast cancer subtypes

Ekaterina V. Gubarkova, Alexander A. Sovetsky, Vladimir Y. Zaitsev, Dmitriy A. Vorontsov, Lev A. Matveev, Alexander L. Matveyev, Alexander A. Moiseev, Sergey S. Kuznetsov, Marina A. Sirotkina, Alexey Yu. Vorontsov, Gregory V. Gelikonov, Elena V. Zagaynova, Natalia D. Gladkova

Author Affiliations +

Proceedings Volume 11228, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV; 112282F (2020) https://doi.org/10.1117/12.2545695
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

A multimodal optical coherence tomography (MM OCT) combining microstructural cross-polarization (CP) imaging and compression OCT-elastography (OCE) was employed in this study. The research was carried out on the noninvasive and invasive subtypes of human breast cancer. This study demonstrates how CP OCT combined with OCTelastography identifies an example of DCIS cancer that progresses into invasive breast cancer. OCE images more clearly show the cross sections of the ducts filled with tumor cells for DCIS (high-contrast structures with clear boundaries and high stiffness values) surrounded by areas with lower stiffness corresponding to fibrous stroma regions. The regions of invasive breast cancer in OCE-scans look as zones with strongly increased stiffness, which well agrees with the histology. Percentage of pixels with different characteristic stiffness ("stiffness spectrum") in the OCTelastography images was assessed to quantitatively visualize stiffness of tumor. The demonstrated ability of MM OCT imaging for breast cancer subtypes differentiation and breast cancer margin assessment is important for improved managements of patients.

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Ekaterina V. Gubarkova, Alexander A. Sovetsky, Vladimir Y. Zaitsev, Dmitriy A. Vorontsov, Lev A. Matveev, Alexander L. Matveyev, Alexander A. Moiseev, Sergey S. Kuznetsov, Marina A. Sirotkina, Alexey Yu. Vorontsov, Gregory V. Gelikonov, Elena V. Zagaynova, and Natalia D. Gladkova "Multimodal optical coherence tomography for quantitative diagnosis of breast cancer subtypes", Proc. SPIE 11228, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV, 112282F (21 February 2020); https://doi.org/10.1117/12.2545695

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