Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327354
Type: Artigo
Title: Epithelial Ovarian Cancer Diagnosis Of Second-harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
Epithelial ovarian cancer diagnosis of second-harmonic generation images: a semiautomatic collagen fibers quantification protocol
Author: Zeitoune, A. A.
Luna, S. J. S.
Sanchez Salas, K.
Erbes, L.
Cesar, C. L.
Andrade, L. A. L. A.
Carvalho, H. F.
Bottcher-Luiz, F.
Casco, V. H.
Adur, J.
Abstract: A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging biological tissues with anisotropic hyperpolarized structures, such as collagen. During the past years, several quantification methods to analyze and evaluate these images have been developed. However, automated or semiautomated solutions are necessary to ensure objectivity and reproducibility of such analysis. This work describes automation and improvement methods for calculating the anisotropy (using fast Fourier transform analysis and the gray-level co-occurrence matrix). These were applied to analyze biopsy samples of human ovarian epithelial cancer at different stages of malignancy (mucinous, serous, mixed, and endometrial subtypes). The semiautomation procedure enabled us to design a diagnostic protocol that recognizes between healthy and pathologic tissues, as well as between different tumor types.
Subject: Fft
Glcm
Shg Microscopy
Human Cancer Ovary
Diagnostic Protocol
Fourier, Transformadas de
Matriz de coocorrência de nível de cinza
Microscopia de geração de segundo harmônico
Country: Reino Unido
Editor: Sage Publications
Citation: Cancer Informatics. Sage Publications Ltd, v. 16, p. , 2017.
Rights: aberto
Identifier DOI: 10.1177/1176935117690162
Address: http://journals.sagepub.com/doi/abs/10.1177/1176935117690162
Date Issue: 2017
Appears in Collections:IFGW - Artigos e Outros Documentos
IB - Artigos e Outros Documentos
FCM - Artigos e Outros Documentos

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