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

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 nonli...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099511/
https://www.ncbi.nlm.nih.gov/pubmed/35591642
http://dx.doi.org/10.3390/ma15093308
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author 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.
author_facet 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.
author_sort Gubarkova, Ekaterina V.
collection PubMed
description 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.
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spelling pubmed-90995112022-05-14 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. Materials (Basel) Article 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. MDPI 2022-05-05 /pmc/articles/PMC9099511/ /pubmed/35591642 http://dx.doi.org/10.3390/ma15093308 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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.
Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title_full Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title_fullStr Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title_full_unstemmed Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title_short Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues
title_sort nonlinear elasticity assessment with optical coherence elastography for high-selectivity differentiation of breast cancer tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099511/
https://www.ncbi.nlm.nih.gov/pubmed/35591642
http://dx.doi.org/10.3390/ma15093308
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