Epithelial Ovarian Cancer Diagnosis of Second-Harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol

Autor: Victor Hugo Casco, Fátima Böttcher-Luiz, Carlos L. Cesar, Johana Sj Luna, Liliana Ala Andrade, Hernades F Carvahlo, Luciana Ariadna Erbes, Kynthia Sanchez Salas, Javier Adur, Angel A. Zeitoune
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Cancer Research
Pathology
medicine.medical_specialty
SHG MICROSCOPY
HUMAN CANCER OVARY
Otras Ciencias Biológicas
Malignancy
01 natural sciences
lcsh:RC254-282
FFT
010309 optics
purl.org/becyt/ford/1 [https]
Microscopia
Ciencias Biológicas
03 medical and health sciences
Ovarian epithelial cancer
0103 physical sciences
Biopsy
Medicine
DIAGNOSTIC PROTOCOL
Epithelial ovarian cancer
purl.org/becyt/ford/1.6 [https]
Original Research
diagnostic protocol
medicine.diagnostic_test
Neoplasias ovarianas
business.industry
human cancer ovary
Second-harmonic generation
Anisotropia
GLCM
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Nonlinear optical microscopy
Serous fluid
030104 developmental biology
Oncology
SHG microscopy
Improvement methods
Colágeno
business
CIENCIAS NATURALES Y EXACTAS
Zdroj: Cancer Informatics
Repositório Institucional da Universidade Federal do Ceará (UFC)
Universidade Federal do Ceará (UFC)
instacron:UFC
Cancer Informatics, Vol 16 (2017)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
ISSN: 1176-9351
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. Fil: Zeitoune, Angel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina Fil: Luna, Johana S. J.. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina Fil: Sanchez Salas, Kynthia. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina Fil: Erbes, Luciana Ariadna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina Fil: Cesar, Carlos L.. Universidade Federal do Ceará; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil Fil: Andrade, Liliana A. L. A.. Universidade Estadual de Campinas; Brasil Fil: Carvahlo, Hernades F.. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil Fil: Bottcher Luiz, Fátima. Universidade Estadual de Campinas; Brasil. National Institute of Science and Technology on Photonics Applied to Cell Biology; Brasil Fil: Casco, Victor Hugo. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina Fil: Adur, Javier Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Databáze: OpenAIRE