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Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography

Identifying the precise topography of cancer for targeted biopsy in colonoscopic examination is a challenge in current diagnostic practice. For the first time we demonstrate the use of compression optical coherence elastography (C-OCE) technology as a new functional OCT modality for differentiating...

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Autores principales: Plekhanov, Anton A., Sirotkina, Marina A., Gubarkova, Ekaterina V., Kiseleva, Elena B., Sovetsky, Alexander A., Karabut, Maria M., Zagainov, Vladimir E., Kuznetsov, Sergey S., Maslennikova, Anna V., Zagaynova, Elena V., Zaitsev, Vladimir Y., Gladkova, Natalia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100073/
https://www.ncbi.nlm.nih.gov/pubmed/37064146
http://dx.doi.org/10.3389/fonc.2023.1121838
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author Plekhanov, Anton A.
Sirotkina, Marina A.
Gubarkova, Ekaterina V.
Kiseleva, Elena B.
Sovetsky, Alexander A.
Karabut, Maria M.
Zagainov, Vladimir E.
Kuznetsov, Sergey S.
Maslennikova, Anna V.
Zagaynova, Elena V.
Zaitsev, Vladimir Y.
Gladkova, Natalia D.
author_facet Plekhanov, Anton A.
Sirotkina, Marina A.
Gubarkova, Ekaterina V.
Kiseleva, Elena B.
Sovetsky, Alexander A.
Karabut, Maria M.
Zagainov, Vladimir E.
Kuznetsov, Sergey S.
Maslennikova, Anna V.
Zagaynova, Elena V.
Zaitsev, Vladimir Y.
Gladkova, Natalia D.
author_sort Plekhanov, Anton A.
collection PubMed
description Identifying the precise topography of cancer for targeted biopsy in colonoscopic examination is a challenge in current diagnostic practice. For the first time we demonstrate the use of compression optical coherence elastography (C-OCE) technology as a new functional OCT modality for differentiating between cancerous and non-cancerous tissues in colon and detecting their morphological features on the basis of measurement of tissue elastic properties. The method uses pre-determined stiffness values (Young’s modulus) to distinguish between different morphological structures of normal (mucosa and submucosa), benign tumor (adenoma) and malignant tumor tissue (including cancer cells, gland-like structures, cribriform gland-like structures, stromal fibers, extracellular mucin). After analyzing in excess of fifty tissue samples, a threshold stiffness value of 520 kPa was suggested above which areas of colorectal cancer were detected invariably. A high Pearson correlation (r =0.98; p <0.05), and a negligible bias (0.22) by good agreement of the segmentation results of C-OCE and histological (reference standard) images was demonstrated, indicating the efficiency of C-OCE to identify the precise localization of colorectal cancer and the possibility to perform targeted biopsy. Furthermore, we demonstrated the ability of C-OCE to differentiate morphological subtypes of colorectal cancer – low-grade and high-grade colorectal adenocarcinomas, mucinous adenocarcinoma, and cribriform patterns. The obtained ex vivo results highlight prospects of C-OCE for high-level colon malignancy detection. The future endoscopic use of C-OCE will allow targeted biopsy sampling and simultaneous rapid analysis of the heterogeneous morphology of colon tumors.
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spelling pubmed-101000732023-04-14 Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography Plekhanov, Anton A. Sirotkina, Marina A. Gubarkova, Ekaterina V. Kiseleva, Elena B. Sovetsky, Alexander A. Karabut, Maria M. Zagainov, Vladimir E. Kuznetsov, Sergey S. Maslennikova, Anna V. Zagaynova, Elena V. Zaitsev, Vladimir Y. Gladkova, Natalia D. Front Oncol Oncology Identifying the precise topography of cancer for targeted biopsy in colonoscopic examination is a challenge in current diagnostic practice. For the first time we demonstrate the use of compression optical coherence elastography (C-OCE) technology as a new functional OCT modality for differentiating between cancerous and non-cancerous tissues in colon and detecting their morphological features on the basis of measurement of tissue elastic properties. The method uses pre-determined stiffness values (Young’s modulus) to distinguish between different morphological structures of normal (mucosa and submucosa), benign tumor (adenoma) and malignant tumor tissue (including cancer cells, gland-like structures, cribriform gland-like structures, stromal fibers, extracellular mucin). After analyzing in excess of fifty tissue samples, a threshold stiffness value of 520 kPa was suggested above which areas of colorectal cancer were detected invariably. A high Pearson correlation (r =0.98; p <0.05), and a negligible bias (0.22) by good agreement of the segmentation results of C-OCE and histological (reference standard) images was demonstrated, indicating the efficiency of C-OCE to identify the precise localization of colorectal cancer and the possibility to perform targeted biopsy. Furthermore, we demonstrated the ability of C-OCE to differentiate morphological subtypes of colorectal cancer – low-grade and high-grade colorectal adenocarcinomas, mucinous adenocarcinoma, and cribriform patterns. The obtained ex vivo results highlight prospects of C-OCE for high-level colon malignancy detection. The future endoscopic use of C-OCE will allow targeted biopsy sampling and simultaneous rapid analysis of the heterogeneous morphology of colon tumors. Frontiers Media S.A. 2023-03-27 /pmc/articles/PMC10100073/ /pubmed/37064146 http://dx.doi.org/10.3389/fonc.2023.1121838 Text en Copyright © 2023 Plekhanov, Sirotkina, Gubarkova, Kiseleva, Sovetsky, Karabut, Zagainov, Kuznetsov, Maslennikova, Zagaynova, Zaitsev and Gladkova https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Plekhanov, Anton A.
Sirotkina, Marina A.
Gubarkova, Ekaterina V.
Kiseleva, Elena B.
Sovetsky, Alexander A.
Karabut, Maria M.
Zagainov, Vladimir E.
Kuznetsov, Sergey S.
Maslennikova, Anna V.
Zagaynova, Elena V.
Zaitsev, Vladimir Y.
Gladkova, Natalia D.
Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title_full Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title_fullStr Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title_full_unstemmed Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title_short Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
title_sort towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100073/
https://www.ncbi.nlm.nih.gov/pubmed/37064146
http://dx.doi.org/10.3389/fonc.2023.1121838
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