Epithelial Ovarian Cancer Diagnosis Of Second-harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

dc.creatorZeitoune
dc.creatorAngel A.; Luna
dc.creatorJohana S. J.; Sanchez Salas
dc.creatorKynthia; Erbes
dc.creatorLuciana; Cesar
dc.creatorCarlos L.; Andrade
dc.creatorLiliana A. L. A.; Carvahlo
dc.creatorHernades F.; Bottcher-Luiz
dc.creatorFatima; Casco
dc.creatorVictor H.; Adur
dc.creatorJavier
dc.date2017
dc.datefev
dc.date2017-11-13T13:15:25Z
dc.date2017-11-13T13:15:25Z
dc.date.accessioned2018-03-29T05:52:57Z
dc.date.available2018-03-29T05:52:57Z
dc.identifierCancer Informatics. Sage Publications Ltd, v. 16, p. , 2017.
dc.identifier1176-9351
dc.identifierWOS:000397646200001
dc.identifier10.1177/1176935117690162
dc.identifierhttp://insights.sagepub.com.ez88.periodicos.capes.gov.br/epithelial-ovarian-cancer-diagnosis-of-second-harmonic-generation-imag-article-a6126
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/327354
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1364379
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionA 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.
dc.description16
dc.descriptionCEPOF (Optics and Photonics Research Center, FAPESP)
dc.descriptionINFABIC (National Institute of Photonics Applied to Cell Biology, FAPESP)
dc.descriptionINFABIC (National Institute of Photonics Applied to Cell Biology, CNPq)
dc.descriptionPIO CONICET-UNER [4337/15, 14620140100004 CO]
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageEnglish
dc.publisherSAGE Publications Ltd
dc.publisherLondon
dc.relationCancer Informatics
dc.rightsaberto
dc.sourceWOS
dc.subjectFft
dc.subjectGlcm
dc.subjectShg Microscopy
dc.subjectHuman Cancer Ovary
dc.subjectDiagnostic Protocol
dc.titleEpithelial Ovarian Cancer Diagnosis Of Second-harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
dc.typeArtículos de revistas


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