Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues

Gubarkova, Ekaterina V.; Sovetsky, Aleksander A.; Matveev, Lev A.; Matveyev, Aleksander L.; Vorontsov, Dmitry A.; Plekhanov, Anton A.; Kuznetsov, Sergey S.; Gamayunov, Sergey V.; Vorontsov, Alexey Y.; Sirotkina, Marina A.; Gladkova, Natalia D.; Zaitsev, Vladimir Y.

doi:10.3390/ma15093308

Open AccessEditor’s ChoiceArticle

Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues

by

Ekaterina V. Gubarkova

^1,*

,

Aleksander A. Sovetsky

²,

Lev A. Matveev

²

,

Aleksander L. Matveyev

²

,

Dmitry A. Vorontsov

³,

Anton A. Plekhanov

¹

,

Sergey S. Kuznetsov

^3,4,

Sergey V. Gamayunov

³

,

Alexey Y. Vorontsov

³,

Marina A. Sirotkina

¹,

Natalia D. Gladkova

^1,† and

Vladimir Y. Zaitsev

^2,†

¹

Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia

²

Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia

³

Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia

⁴

Department of Pathology, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia

^*

Author to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Materials 2022, 15(9), 3308; https://doi.org/10.3390/ma15093308

Submission received: 24 February 2022 / Revised: 27 April 2022 / Accepted: 3 May 2022 / Published: 5 May 2022

(This article belongs to the Special Issue Advanced Materials for Biophotonics Applications)

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Abstract

Soft biological tissues, breast cancer tissues in particular, often manifest pronounced nonlinear elasticity, i.e., strong dependence of their Young’s modulus on the applied stress. We showed that compression optical coherence elastography (C-OCE) is a promising tool enabling the evaluation of nonlinear properties in addition to the conventionally discussed Young’s modulus in order to improve diagnostic accuracy of elastographic examination of tumorous tissues. The aim of this study was to reveal and quantify variations in stiffness for various breast tissue components depending on the applied pressure. We discussed nonlinear elastic properties of different breast cancer samples excised from 50 patients during breast-conserving surgery. Significant differences were found among various subtypes of tumorous and nontumorous breast tissues in terms of the initial Young’s modulus (estimated for stress < 1 kPa) and the nonlinearity parameter determining the rate of stiffness increase with increasing stress. However, Young’s modulus alone or the nonlinearity parameter alone may be insufficient to differentiate some malignant breast tissue subtypes from benign. For instance, benign fibrous stroma and fibrous stroma with isolated individual cancer cells or small agglomerates of cancer cells do not yet exhibit significant difference in the Young’s modulus. Nevertheless, they can be clearly singled out by their nonlinearity parameter, which is the main novelty of the proposed OCE-based discrimination of various breast tissue subtypes. This ability of OCE is very important for finding a clean resection boundary. Overall, morphological segmentation of OCE images accounting for both linear and nonlinear elastic parameters strongly enhances the correspondence with the histological slices and radically improves the diagnostic possibilities of C-OCE for a reliable clinical outcome.

Keywords: compression optical coherence elastography (C-OCE); nonlinear elasticity; breast cancer; breast tissues

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MDPI and ACS Style

Gubarkova, E.V.; Sovetsky, A.A.; Matveev, L.A.; Matveyev, A.L.; Vorontsov, D.A.; Plekhanov, A.A.; Kuznetsov, S.S.; Gamayunov, S.V.; Vorontsov, A.Y.; Sirotkina, M.A.; et al. Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues. Materials 2022, 15, 3308. https://doi.org/10.3390/ma15093308

AMA Style

Gubarkova EV, Sovetsky AA, Matveev LA, Matveyev AL, Vorontsov DA, Plekhanov AA, Kuznetsov SS, Gamayunov SV, Vorontsov AY, Sirotkina MA, et al. Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues. Materials. 2022; 15(9):3308. https://doi.org/10.3390/ma15093308

Chicago/Turabian Style

Gubarkova, Ekaterina V., Aleksander A. Sovetsky, Lev A. Matveev, Aleksander L. Matveyev, Dmitry A. Vorontsov, Anton A. Plekhanov, Sergey S. Kuznetsov, Sergey V. Gamayunov, Alexey Y. Vorontsov, Marina A. Sirotkina, and et al. 2022. "Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues" Materials 15, no. 9: 3308. https://doi.org/10.3390/ma15093308

APA Style

Gubarkova, E. V., Sovetsky, A. A., Matveev, L. A., Matveyev, A. L., Vorontsov, D. A., Plekhanov, A. A., Kuznetsov, S. S., Gamayunov, S. V., Vorontsov, A. Y., Sirotkina, M. A., Gladkova, N. D., & Zaitsev, V. Y. (2022). Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues. Materials, 15(9), 3308. https://doi.org/10.3390/ma15093308

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Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues

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