Back to Search Start Over

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

Authors :
Ekaterina V. Gubarkova
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
Natalia D. Gladkova
Vladimir Y. Zaitsev
Source :
Materials, Vol 15, Iss 9, p 3308 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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.

Details

Language :
English
ISSN :
19961944
Volume :
15
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.6e52dec515f440d8a0f325fa660923e
Document Type :
article
Full Text :
https://doi.org/10.3390/ma15093308