Optical coefficients as tools for increasing the optical coherence tomography contrast for normal brain visualization and glioblastoma detection

Kiseleva, Elena B.; Yashin, Konstantin; Moiseev, Alexander A.; Timofeeva, Lidia B.; Kudelkina, V. V.; Алексеева, А. Ю.; Meshkova, Svetlana V.; Polozova, Anastasia V.; Gelikonov, Grigory V.; Zagaynova, Elena V.; Gladkova, Natalia D.

doi:10.1117/1.nph.6.3.035003

Cited by 18 publications

(17 citation statements)

References 38 publications

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“…Demonstrations on human and rat brain tissues have indicated the potential for differentiation of cancer and normal tissue. 94,137 We finally observe that, as well as optical properties, parametric OCT imaging can also be used to observe mechanical properties of tissue. 138,139 All such properties, optical and otherwise, show great potential to be combined with OCT attenuation imaging to provide a more comprehensive assessment of tissues.…”

Section: Complementary Optical Propertiesmentioning

confidence: 80%

Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation

et al. 2020

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Significance: Optical coherence tomography (OCT) provides cross-sectional and volumetric images of backscattering from biological tissue that reveal the tissue morphology. The strength of the scattering, characterized by an attenuation coefficient, represents an alternative and complementary tissue optical property, which can be characterized by parametric imaging of the OCT attenuation coefficient. Over the last 15 years, a multitude of studies have been reported seeking to advance methods to determine the OCT attenuation coefficient and developing them toward clinical applications. Aim: Our review provides an overview of the main models and methods, their assumptions and applicability, together with a survey of preclinical and clinical demonstrations and their translation potential. Results: The use of the attenuation coefficient, particularly when presented in the form of parametric en face images, is shown to be applicable in various medical fields. Most studies show the promise of the OCT attenuation coefficient in differentiating between tissues of clinical interest but vary widely in approach. Conclusions: As a future step, a consensus on the model and method used for the determination of the attenuation coefficient is an important precursor to large-scale studies. With our review, we hope to provide a basis for discussion toward establishing this consensus.

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Section: Complementary Optical Propertiesmentioning

confidence: 80%

Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation

et al. 2020

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“…Certainly, the OCE method may be also useful in combination with subsequent conventional histology to facilitate the recognition of areas in the tissue with changes that may be missed during routine microscopic examination. A more complete assessment of the tumor response and thereby the effectiveness of treatment can be achieved by combining OCE with other modalities based on the same OCT setup (angiography 67,68 , polarization-sensitive OCT 5 , estimation of the optical-signal decay 69 , etc.). www.nature.com/scientificreports/ Knowing both the advantages and the limitations of the OCE method (first of all, limited depth of scanning typical of OCT), it can be concluded that the method can be valuable in the study of surface structures (skin and mucous, where a biopsy is limited or not advisable) and the effects of various destructive or therapeutic/cosmetic agents on them.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography

Plekhanov

Sirotkina

Sovetsky

et al. 2020

Sci Rep

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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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“…60 Therefore, there is a need for accurate, intraoperative visualization of cancerous regions in the brain. AC studies have been conducted on ex vivo mouse brains 61 and ex vivo human brains for brain cancer detection, 62,63 as well as in vivo mouse models to demonstrate the feasibility of intraoperative visualization of cancerous tissue with AC mapping. 62 In 2015, Kut et al 62 extracted AC from various regions (cancer core, infiltrative zone, and surrounding noncancerous tissue) of low-grade and high-grade cancer tissues of ex vivo human brains.…”

Section: Brain Cancer Detectionmentioning

confidence: 99%

Review of methods and applications of attenuation coefficient measurements with optical coherence tomography

Chang

Bowden

2019

J. Biomed. Opt.

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The optical attenuation coefficient (AC), an important tissue parameter that measures how quickly incident light is attenuated when passing through a medium, has been shown to enable quantitative analysis of tissue properties from optical coherence tomography (OCT) signals. Successful extraction of this parameter would facilitate tissue differentiation and enhance the diagnostic value of OCT. In this review, we discuss the physical and mathematical basis of AC extraction from OCT data, including current approaches used in modeling light scattering in tissue and in AC estimation. We also report on demonstrated clinical applications of the AC, such as for atherosclerotic tissue characterization, malignant lesion detection, and brain injury visualization. With current studies showing AC analysis as a promising technique, further efforts in the development of methods to accurately extract the AC and to explore its potential use for more extensive clinical applications are desired.

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Optical coefficients as tools for increasing the optical coherence tomography contrast for normal brain visualization and glioblastoma detection

Abstract: Optical coefficients as tools for increasing the optical coherence tomography contrast for normal brain visualization and glioblastoma detection," Neurophoton. 6(3), 035003 (2019),

Cited by 18 publications

References 38 publications

Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation

Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation

Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography

Review of methods and applications of attenuation coefficient measurements with optical coherence tomography

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