ArticleMaterials (Basel, Switzerland)2022
Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues.
Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 31 citations in OpenAlex.
- Phantoms for use in optical coherence elastography.Journal of biomedical optics · 2026Review
- Identifying intact and fibrotic parenchyma in pancreatic ductal adenocarcinomas using compression optical coherence elastography.Scientific reports · 2026Article
- Prediction of Pancreatic Islet Yield After Pancreatectomy Using Optical Coherence Elastography.Diagnostics (Basel, Switzerland) · 2026Article
- Noninvasive quantitative assessment of oral submucosal fibrosisJournal of biomedical optics · 2025Article
- Mechanical Signaling: Molecular Mechanisms, Biological Functions, Diseases, and Therapeutic Targets.MedComm · 2025Review
- Quantitative assessment of biomechanical changes in oral lesions at different cancerous stages using optical coherence elastography.Quantitative imaging in medicine and surgery · 2025Article
- Geophysics-Inspired Nonlinear Stress-Strain Law for Biological Tissues and Its Applications in Compression Optical Coherence Elastography.Materials (Basel, Switzerland) · 2024Article
- A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.APL bioengineering · 2024Article
- A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization.IEEE transactions on bio-medical engineering · 2024Article
- Analysis of friction in quantitative micro-elastography.Biomedical optics express · 2023Article
- Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.Scientific reports · 2023Article
- Real-Time Nondestructive Viscosity Measurement of Soft Tissue Based on Viscoelastic Response Optical Coherence Elastography.Materials (Basel, Switzerland) · 2023Article
- Compression OCT-elastography combined with speckle-contrast analysis as an approach to the morphological assessment of breast cancer tissue.Biomedical optics express · 2023Article
- Spatio-Temporal Dynamics of Diffusion-Associated Deformations of Biological Tissues and Polyacrylamide Gels Observed with Optical Coherence Elastography.Materials (Basel, Switzerland) · 2023Article
- Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography.Frontiers in oncology · 2023Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
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.
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