Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas

González González, Rogelio - Molina Frechero, Nelly - Carreón Burciaga, Ramón Gil - López Verdínnell Bologna-Molina4, Sandra5 - Robles Bonilla, Carlos - Pereira-Prado, Vanesa - Bologna-Molina, Ronell

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.


Detalles Bibliográficos
2016
AMELOBLASTOMA
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/31444
Acceso abierto
Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
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author González González, Rogelio
author2 Molina Frechero, Nelly
Carreón Burciaga, Ramón Gil
López Verdínnell Bologna-Molina4, Sandra5
Robles Bonilla, Carlos
Pereira-Prado, Vanesa
Bologna-Molina, Ronell
author2_role author
author
author
author
author
author
author_facet González González, Rogelio
Molina Frechero, Nelly
Carreón Burciaga, Ramón Gil
López Verdínnell Bologna-Molina4, Sandra5
Robles Bonilla, Carlos
Pereira-Prado, Vanesa
Bologna-Molina, Ronell
author_role author
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collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv González González Rogelio, Department of Research, School of Dentistry, Universidad Ju´arez del Estado de Durango, Durango, DGO, Mexico
Molina Frechero Nelly, 2Department of Health Care, Universidad Autónoma Metropolitana, Unidad Xochimilco,Mexico City, Mexico
Carreón Burciaga Ramon Gil, Department of Research, School of Dentistry, Universidad Ju´arez del Estado de Durango, Durango, DGO, Mexico
López Verdínnell Bologna-Molina4 Sandra5, Microbiology and Pathology Department, Dentistry Research Institute, Health Sciences University Center, Universidad de Guadalajara, Guadalajara, JAL, Mexico
Robles Bonilla Carlos, 4School of Health Sciences, Universidad Anahuac Norte, Lomas An´ahuac, Huixquilucan, MEX, Mexico
Pereira-Prado Vanesa, Department of Molecular Pathology, School of Dentistry, Universidad de la Rep´ublica, Uruguay, Montevideo, Uruguay
Bologna-Molina Ronell, School of Health Sciences, Universidad Anahuac Norte, Lomas An´ahuac, Huixquilucan, MEX, Mexico 5Department of Molecular Pathology, School of Dentistry, Universidad de la Rep´ublica, Uruguay, Montevideo, Uruguay
dc.creator.none.fl_str_mv González González, Rogelio
Molina Frechero, Nelly
Carreón Burciaga, Ramón Gil
López Verdínnell Bologna-Molina4, Sandra5
Robles Bonilla, Carlos
Pereira-Prado, Vanesa
Bologna-Molina, Ronell
dc.date.accessioned.none.fl_str_mv 2022-05-05T15:25:55Z
dc.date.available.none.fl_str_mv 2022-05-05T15:25:55Z
dc.date.issued.none.fl_str_mv 2016
dc.description.abstract.none.fl_txt_mv 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.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv 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
dc.identifier.doi.none.fl_str_mv dx.doi.org/10.1155/2016/7486989
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/31444
dc.language.iso.none.fl_str_mv en
eng
dc.relation.ispartof.es.fl_str_mv Analytical Cellular Pathology Volume 2016
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.other.es.fl_str_mv AMELOBLASTOMA
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
dc.title.none.fl_str_mv Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description 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.
eu_rights_str_mv openAccess
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identifier_str_mv 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
dx.doi.org/10.1155/2016/7486989
instacron_str Universidad de la República
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publishDate 2016
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)
spelling González González Rogelio, Department of Research, School of Dentistry, Universidad Ju´arez del Estado de Durango, Durango, DGO, MexicoMolina Frechero Nelly, 2Department of Health Care, Universidad Autónoma Metropolitana, Unidad Xochimilco,Mexico City, MexicoCarreón Burciaga Ramon Gil, Department of Research, School of Dentistry, Universidad Ju´arez del Estado de Durango, Durango, DGO, MexicoLópez Verdínnell Bologna-Molina4 Sandra5, Microbiology and Pathology Department, Dentistry Research Institute, Health Sciences University Center, Universidad de Guadalajara, Guadalajara, JAL, MexicoRobles Bonilla Carlos, 4School of Health Sciences, Universidad Anahuac Norte, Lomas An´ahuac, Huixquilucan, MEX, MexicoPereira-Prado Vanesa, Department of Molecular Pathology, School of Dentistry, Universidad de la Rep´ublica, Uruguay, Montevideo, UruguayBologna-Molina Ronell, School of Health Sciences, Universidad Anahuac Norte, Lomas An´ahuac, Huixquilucan, MEX, Mexico 5Department of Molecular Pathology, School of Dentistry, Universidad de la Rep´ublica, Uruguay, Montevideo, Uruguay2022-05-05T15:25:55Z2022-05-05T15:25:55Z2016González 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/10.1155/2016/7486989https://hdl.handle.net/20.500.12008/31444dx.doi.org/10.1155/2016/7486989Ameloblastoma 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.Submitted by Pérez Verónica (verosil22@gmail.com) on 2022-05-05T15:24:13Z No. of bitstreams: 2 license_rdf: 21687 bytes, checksum: 749156fd3854beb422ddf543c77fb5b1 (MD5) Comparision between manual and automated methods for ki-67 immunoexpression quantification in ameloblastomas.pdf: 5196312 bytes, checksum: 8a15ce280873d0552497f2b4a879de7e (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-05-05T15:25:55Z (GMT). No. of bitstreams: 2 license_rdf: 21687 bytes, checksum: 749156fd3854beb422ddf543c77fb5b1 (MD5) Comparision between manual and automated methods for ki-67 immunoexpression quantification in ameloblastomas.pdf: 5196312 bytes, checksum: 8a15ce280873d0552497f2b4a879de7e (MD5) Previous issue date: 2016application/pdfenengAnalytical Cellular Pathology Volume 2016Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial (CC - By-NC 4.0)AMELOBLASTOMARECUENTO DE CELULASANTIGENO Ki-67AUTOMATIZACIONCOLORACION Y ETIQUETADOComparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in AmeloblastomasArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGonzález González, RogelioMolina Frechero, NellyCarreón Burciaga, Ramón GilLópez Verdínnell Bologna-Molina4, Sandra5Robles Bonilla, CarlosPereira-Prado, VanesaBologna-Molina, RonellLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/31444/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-847http://localhost:8080/xmlui/bitstream/20.500.12008/31444/2/license_url966d4a1cc97b2c4389b5142dd97d3c7fMD52license_textlicense_texttext/html; charset=utf-838397http://localhost:8080/xmlui/bitstream/20.500.12008/31444/3/license_text67766c36f7a6499ed8d632815eabc281MD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-821687http://localhost:8080/xmlui/bitstream/20.500.12008/31444/4/license_rdf749156fd3854beb422ddf543c77fb5b1MD54ORIGINALComparision between manual and automated methods for ki-67 immunoexpression quantification in ameloblastomas.pdfComparision between manual and automated methods for ki-67 immunoexpression quantification in ameloblastomas.pdfapplication/pdf5196312http://localhost:8080/xmlui/bitstream/20.500.12008/31444/1/Comparision+between+manual+and+automated+methods+for+ki-67+immunoexpression+quantification+in+ameloblastomas.pdf8a15ce280873d0552497f2b4a879de7eMD5120.500.12008/314442024-03-15 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- Universidad de la Repúblicafalse
spellingShingle Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
González González, Rogelio
AMELOBLASTOMA
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
status_str publishedVersion
title Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
title_full Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
title_fullStr Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
title_full_unstemmed Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
title_short Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
title_sort Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas
topic AMELOBLASTOMA
RECUENTO DE CELULAS
ANTIGENO Ki-67
AUTOMATIZACION
COLORACION Y ETIQUETADO
url https://hdl.handle.net/20.500.12008/31444