ArticleScientific reports2020
Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography.
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 41 papers.
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Who cites it
41 citing papers in PubMed.
- Identifying intact and fibrotic parenchyma in pancreatic ductal adenocarcinomas using compression optical coherence elastography.Scientific reports · 2026Article
- Diagnostic value of high-frequency ultrasound in preoperative evaluation of benign and malignant skin tumors.Frontiers in oncology · 2026Article
- ViT-Stain: Vision transformer-driven virtual staining for skin histopathology via global contextual learning.PloS one · 2026Article
- Brillouin microscopy in cancer research: a review.Journal of biomedical optics · 2025Review
- Exploring the biomechanical complexity of glioblastoma spheroids and organoids with co-localized Brillouin and Raman microspectroscopy.Biochemistry and biophysics reports · 2025Article
- Preliminary Establishment of a Method and System for Detecting Neural Tumor Boundaries Based on Optical Coherence Tomography.MedComm · 2025Article
- VISGAB: Virtual staining-driven GAN benchmarking for optimizing skin tissue histology.Scientific reports · 2025Article
- Understanding and measuring mechanical signals in the tumor stroma.FEBS open bio · 2025Review
- Four-modal device comprising optical coherence tomography, photoacoustic tomography, ultrasound, and Raman spectroscopy developed for in vivo skin lesion assessment.Biomedical optics express · 2025Article
- Evaluation of Ex Vivo Shear Wave Elastography of Axillary Sentinel Lymph Nodes in Patients with Early Breast Cancer.Cancers · 2024Article
- A Novel Rat Model to Simulate Positive Margins in the Wound Bed of a Resected Sarcoma.Plastic and reconstructive surgery. Global open · 2024Article
- Geophysics-Inspired Nonlinear Stress-Strain Law for Biological Tissues and Its Applications in Compression Optical Coherence Elastography.Materials (Basel, Switzerland) · 2024Article
- Quantitative Assessment of Polarization and Elastic Properties of Endometrial Tissue for Precancer/Cancer Diagnostics Using Multimodal Optical Coherence Tomography.Diagnostics (Basel, Switzerland) · 2024Article
- A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography.APL bioengineering · 2024Article
- Shear-wave elastography as a supplementary tool for axillary staging in patients undergoing breast cancer diagnosis.Insights into imaging · 2024Article
- Tissue Elasticity as a Diagnostic Marker of Molecular Mutations in Morphologically Heterogeneous Colorectal Cancer.International journal of molecular sciences · 2024Article
- Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging.Communications biology · 2024Review
- Label-free visualization and quantification of the drug-type-dependent response of tumor spheroids by dynamic optical coherence tomography.Scientific reports · 2024Article
- Post-Operational Photodynamic Therapy of the Tumor Bed: Comparative Analysis for Cold Knife and Laser Scalpel Resection.Biomedicines · 2024Article
- Oxygen Assessment in Tumors In Vivo Using Phosphorescence Lifetime Imaging Microscopy.Methods in molecular biology (Clifton, N.J.) · 2024Article
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10 authors.
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Abstract
We present a non-invasive (albeit contact) method based on Optical Coherence Elastography (OCE) enabling the in vivo segmentation of morphological tissue constituents, in particular, monitoring of morphological alterations during both tumor development and its response to therapies. The method uses compressional OCE to reconstruct tissue stiffness map as the first step. Then the OCE-image is divided into regions, for which the Young's modulus (stiffness) falls in specific ranges corresponding to the morphological constituents to be discriminated. These stiffness ranges (characteristic "stiffness spectra") are initially determined by careful comparison of the "gold-standard" histological data and the OCE-based stiffness map for the corresponding tissue regions. After such pre-calibration, the results of morphological segmentation of OCE-images demonstrate a striking similarity with the histological results in terms of percentage of the segmented zones. To validate the sensitivity of the OCE-method and demonstrate its high correlation with conventional histological segmentation we present results obtained in vivo on a murine model of breast cancer in comparative experimental study of the efficacy of two antitumor chemotherapeutic drugs with different mechanisms of action. The new technique allowed in vivo monitoring and quantitative segmentation of (1) viable, (2) dystrophic, (3) necrotic tumor cells and (4) edema zones very similar to morphological segmentation of histological images. Numerous applications in other experimental/clinical areas requiring rapid, nearly real-time, quantitative assessment of tissue structure can be foreseen.
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