ArticleScientific reports2020
Non-invasive imaging of Young's modulus and Poisson's ratio in cancers in vivo.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Mechanical fingerprints in breast cancer research: A multimodal experimental approach.Bioengineering & translational medicine · 2026Article
- A multi-modal approach for decision making in bladder cancer.Nature reviews. Urology · 2026Review
- Material-Induced Nuclear Deformation Controls Chromatin Architecture in Adipose Stem Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Design and Implementation of an Electromagnetic-Capacitive Coupling Mechanism-Based Material Young's Modulus Measurement System.Materials (Basel, Switzerland) · 2026Article
- Development of breast-mimicking phantoms for use in optical coherence elastography.Journal of biomedical optics · 2025Article
- Vascular hydraulic conductivity imaging in cancers in vivo based on spatiotemporal ultrasound elastography.PNAS nexus · 2025Article
- Cell spheroid micromechanics under large deformations.Scientific reports · 2025Article
- Identifying Heterogeneous Micromechanical Properties of Biological Tissues via Physics-Informed Neural Networks.Small methods · 2025Article
- Near-infrared spectroscopy-enabled electromechanical systems for fast mapping of biomechanics and subcutaneous diagnosis.Science advances · 2024Article
- MixTURE: L1-Norm-Based Mixed Second-Order Continuity in Strain Tensor Ultrasound Elastography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Article
- Enhancing Surgical Precision in Autonomous Robotic Incisions via Physics-Based Tissue Cutting Simulation.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2024Article
- Mathematical Models for Ultrasound Elastography: Recent Advances to Improve Accuracy and Clinical Utility.Bioengineering (Basel, Switzerland) · 2024Review
- Non-Invasive Imaging of Mechanical Properties of Cancers In Vivo Based on Transformations of the Eshelby's Tensor Using Compression Elastography.IEEE transactions on medical imaging · 2024Article
- Article
- Mechanical models and measurement methods of solid stress in tumors.Applied microbiology and biotechnology · 2024Review
- Mechanical Perspective on Increasing Brush Cytology Yield.ACS biomaterials science & engineering · 2024Article
- Bladder Cancer and Artificial Intelligence: Emerging Applications.The Urologic clinics of North America · 2024Review
- Physics-informed UNets for discovering hidden elasticity in heterogeneous materials.Journal of the mechanical behavior of biomedical materials · 2024Article
- Mechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting Machine.Micromachines · 2024Article
- Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities.Frontiers in oncology · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alterations of Young's modulus (YM) and Poisson's ratio (PR) in biological tissues are often early indicators of the onset of pathological conditions. Knowledge of these parameters has been proven to be of great clinical significance for the diagnosis, prognosis and treatment of cancers. Currently, however, there are no non-invasive modalities that can be used to image and quantify these parameters in vivo without assuming incompressibility of the tissue, an assumption that is rarely justified in human tissues. In this paper, we developed a new method to simultaneously reconstruct YM and PR of a tumor and of its surrounding tissues based on the assumptions of axisymmetry and ellipsoidal-shape inclusion. This new, non-invasive method allows the generation of high spatial resolution YM and PR maps from axial and lateral strain data obtained via ultrasound elastography. The method was validated using finite element (FE) simulations and controlled experiments performed on phantoms with known mechanical properties. The clinical feasibility of the developed method was demonstrated in an orthotopic mouse model of breast cancer. Our results demonstrate that the proposed technique can estimate the YM and PR of spherical inclusions with accuracy higher than 99% and with accuracy higher than 90% in inclusions of different geometries and under various clinically relevant boundary conditions.
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