Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging

Oleksii Sieryi; Yuriy Ushenko; Volodimir Ushenko; Olexander Dubolazov; Anastasia V. Syvokorovskaya; Oleh Vanchulyak; Alexander G. Ushenko; Mykhailo Gorsky; Yuriy Tomka; Alexander Bykov; Wenjun Yan; Igor Meglinski

doi:10.1364/BOE.464420

Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging

Oleksii Sieryi, Yuriy Ushenko, Volodimir Ushenko, Olexander Dubolazov, Anastasia V. Syvokorovskaya, Oleh Vanchulyak, Alexander G. Ushenko, Mykhailo Gorsky, Yuriy Tomka, Alexander Bykov, Wenjun Yan, Igor Meglinski

Mechanical, Biomedical & Design Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.

Original language	English
Article number	6019
Pages (from-to)	6019-6034
Number of pages	16
Journal	Biomedical Optics Express
Volume	13
Issue number	11
Early online date	25 Oct 2022
DOIs	https://doi.org/10.1364/BOE.464420
Publication status	Published - 1 Nov 2022

Bibliographical note

Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License [https://creativecommons.org/licenses/by/4.0/]. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Funding: Royal Society (APX111232); National Research Foundation of Ukraine (2020.02/0061); ATTRACT Horizon 2020 Framework Programme for Research and Innovation (1010004462); Academy of Finland (314639, 325097, 351068).

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10.1364/BOE.464420Licence: CC BY 4.0

Sieryi et al_Optical anisotrophy composition Mueller-matrix imaging_boe-13-11-6019
Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License [https://creativecommons.org/licenses/by/4.0/]. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Final published version, 4.88 MBLicence: CC BY 4.0

Cite this

Sieryi, O., Ushenko, Y., Ushenko, V., Dubolazov, O., Syvokorovskaya, A. V., Vanchulyak, O., Ushenko, A. G., Gorsky, M., Tomka, Y., Bykov, A., Yan, W., & Meglinski, I. (2022). Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging. Biomedical Optics Express, 13(11), 6019-6034. Article 6019. https://doi.org/10.1364/BOE.464420

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abstract = "A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.",

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note = "Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License [https://creativecommons.org/licenses/by/4.0/]. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funding: Royal Society (APX111232); National Research Foundation of Ukraine (2020.02/0061); ATTRACT Horizon 2020 Framework Programme for Research and Innovation (1010004462); Academy of Finland (314639, 325097, 351068).",

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AU - Sieryi, Oleksii

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AU - Vanchulyak, Oleh

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AU - Gorsky, Mykhailo

AU - Tomka, Yuriy

AU - Bykov, Alexander

AU - Yan, Wenjun

AU - Meglinski, Igor

N1 - Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License [https://creativecommons.org/licenses/by/4.0/]. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funding: Royal Society (APX111232); National Research Foundation of Ukraine (2020.02/0061); ATTRACT Horizon 2020 Framework Programme for Research and Innovation (1010004462); Academy of Finland (314639, 325097, 351068).

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N2 - A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.

AB - A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.

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Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging

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