Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
| Autor: | Angel A Zeitoune, Johana SJ Luna, Kynthia Sanchez Salas, Luciana Erbes, Carlos L Cesar, Liliana ALA Andrade, Hernades F Carvahlo, Fátima Bottcher-Luiz, Victor H Casco, Javier Adur |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Cancer Informatics, Vol 16 (2017) |
| Druh dokumentu: | article |
| ISSN: | 1176-9351 11769351 |
| DOI: | 10.1177/1176935117690162 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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