Publications by authors named "Ksenia A Achkasova"

Article Synopsis
  • The research investigates how different types of glial tumors in rats affect the attenuation coefficient of white matter in the brain, showing varied impacts based on tumor type and malignancy.
  • Some tumors lead to a significant drop in this coefficient due to cell infiltration and damage to myelinated fibers, while others compress fibers without major destruction.
  • The study also highlights the potential of using the attenuation coefficient, derived from OCT data, to identify late radiation damage in white matter, suggesting its usefulness for evaluating tissue health around tumors during surgeries.
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Introduction: To improve the quality of brain tumor resections, it is important to differentiate zones with myelinated fibers destruction from tumor tissue and normal white matter. Optical coherence tomography (OCT) is a promising tool for brain tissue visualization and in the present study, we demonstrate the ability of cross-polarization (CP) OCT to detect damaged white matter and differentiate it from normal and tumor tissues.

Materials And Methods: The study was performed on 215 samples of brain tissue obtained from 57 patients with brain tumors.

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A pilot post-mortem study identifies a strong correlation between the attenuation coefficient estimated from the OCT data and some morphological features of the sample, namely the number of nuclei in the field of view of the histological image and the fiber structural parameter introduced in the study to quantify the difference in the myelinated fibers arrangements. The morphological features were identified from the histopathological images of the sample taken from the same locations as the OCT images and stained with the immunohistochemical (IHC) staining specific to the myelin. It was shown that the linear regression of the IHC quantitative characteristics allows adequate prediction of the attenuation coefficient of the sample.

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The possibility to assess molecular-biological and morphological features of particular breast cancer types can improve the precision of resection margin detection and enable accurate determining of the tumor aggressiveness, which is important for treatment selection. To enable reliable differentiation of breast-cancer subtypes and evaluation of resection margin, without performing conventional histological procedures, here we apply cross-polarization optical coherence tomography (CP-OCT) and compare it with a novel variant of compressional optical coherence elastography (C-OCE) in terms of the diagnostic accuracy (Ac) with histological verification. The study used 70 excised breast cancer specimens with different morphological structure and molecular status (Luminal A, Luminal B, Her2/Neo+, non-luminal and triple-negative cancer).

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