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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.
Afiliação
  • Plekhanov AA; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Sirotkina MA; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Gubarkova EV; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Kiseleva EB; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Sovetsky AA; Laboratory of Wave Methods for Studying Structurally Inhomogeneous Media, Institute of Applied Physics Russian Academy of Sciences, Nizhny Novgorod, Russia.
  • Karabut MM; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Zagainov VE; Department of Faculty Surgery and Transplantation, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Kuznetsov SS; Department of Pathology, Nizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
  • Maslennikova AV; Department of Pathology, Nizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
  • Zagaynova EV; Department of Oncology, Radiation Therapy and Radiation Diagnostics, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Zaitsev VY; Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
  • Gladkova ND; Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.
Front Oncol ; 13: 1121838, 2023.
Article em En | MEDLINE | ID: mdl-37064146
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article