Título:
Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
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Autor:
González González, Rogelio
Molina-Frechero, Nelly
Carreón Burciaga, Ramón Gil
Robles Bonilla, Carlos
Pereira-Prado, Vanesa
Bologna-Molina, Ronell
Molina-Frechero, Nelly
Carreón Burciaga, Ramón Gil
Robles Bonilla, Carlos
Pereira-Prado, Vanesa
Bologna-Molina, Ronell
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AMELOBLASTOMA
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
Año de publicación:
2016
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Resumen:
Ameloblastoma is a common and unpredictable odontogenic tumor with high relapse rates. Several studies assessing the proliferative capacity of these neoplasms have been published, mainly using the protein Ki-67. Cell counts must be completed to determine the cell proliferation rate. Multiple methods have been developed for this purpose.The most widely used method is the labeling index, which has undergone changes over time to better facilitate cell counting. Here, we compared manual cell counting methods with automated cell counting (ImmunoRatio) to determine the relative effectiveness of thesemethods.The results suggest that ImmunoRatio, a free software tool, may be highly advantageous and provide results similar to manual cell counting methods
when used with the appropriate calibration. However, ImmunoRatio has flaws that may affect the labeling index results.Therefore, this automated cell counting method must be supplemented with manual cell counting methods.
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Analytical Cellular Pathology Volume 2016
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González González, R, Molina-Frechero, N, Carreón Burciaga, R. "Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas"Analytical Cellular Pathology Volume 2016 [en línea] 2016. dx.doi.org/10.1155/2016/7486989
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Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| Comparision between manual and automated methods for ki-67 immunoexpression quantification in ameloblastomas.pdf | — | 4.96 MB | Adobe PDF |