Please use this identifier to cite or link to this item: http://www.repositorio.ufc.br/handle/riufc/40808
Title in Portuguese: Epithelial ovarian cancer diagnosis of second-harmonic generation images: a semiautomatic collagen fibers quantification protocol
Author: Zeitoune, Angel Alberto
Luna, Johana S. J
Sanchez Salas, Kynthia
Erbes, Luciana Ariadna
Cesar, Carlos Lenz
Andrade, Liliana Aparecida Lucci de Angelo
Carvalho, Hernades Faustino de
Luiz, Fátima Aparecida Bottcher
Casco, Victor Hugo
Adur, Javier Fernando
Keywords: Anisotropia
GLCM
Microscopia
Neoplasias ovarianas
Colágeno
Issue Date: 2017
Publisher: Cancer informatics
Citation: ZEITOUNE, A. A.; LUNA, J. S. J.; SANCHEZ SALAS, K.; ERBES, L. A.; CESAR, C. L.; ANDRADE, L. A. L. A.; CARVALHO, H. F.; LUIZ, F. B.; CASCO, V. H.; ADUR, J. F. Epithelial ovarian cancer diagnosis of second-harmonic generation images: a semiautomatic collagen fibers quantification protocol. Cancer informatics, Thousand Oaks, v. 16, p. 1-12, 2017.
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.
URI: 1176-9351 (online)
http://www.repositorio.ufc.br/handle/riufc/40808
metadata.dc.type: Artigo de Periódico
ISSN: 1176-9351 (impresso)
Appears in Collections:DFI - Artigos publicados em revista científica

Files in This Item:
File Description SizeFormat 
2017_art_aazeitoune.pdf1,37 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.