Assessment of colorectal cancer prognosis through nuclear morphometry

Autores
Eynard, Hector G.; Soria, Elio Andres; Cuestas, Eduardo; Rovasio, Roberto Americo; Eynard, Aldo Renato
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Due to the fact that different biological parameters play a key role in colonic malignant behavior, with nuclear morphometry being a prognostic marker in many malignancies, then predictive approaches in colorectal cancer (CRC) carried out on histologically well-defined groups may prevent interpretative errors. Subsequently, in the present study, CRC patients were screened according to the morphometric features of tumor cell nuclei, using an achúrate histotechnical approach, to analyze their clinical evolution according to Dukes? stratification. Materials and methods. A total of 66 cases were grouped according to Dukes? classification (5 y of follow-up). The perimeter, nuclear area, and shape factor of 50 interphase carcinoma nuclei were recorded through microphotographs obtained from each subject. Nuclei boundaries were drawn by an electronic pencil and examined by a computerized system. Data were submitted to a variance analysis, and a multiregression model compared results. Results. The sample was made up of 44 males (66.67%) and 22 females (33.33%) aged 59.7 +- 6 y old. Forty-nine patients (74.24%) were classified as stage B, and 17 (25.76%) as stage C. Nuclear homogeneity was confirmed by analysis of variance. The nuclear parameters were (mean +- SD): area (3.17 +- 1.74), perimeter (6.72 +- 1.83), and shape factor (0.82 +- 0.03). A multiple logistic regression model showed that stage C subjects had a higher risk of developing a worse clinical evolution than those at stage B (P < 0.02), independent of sex and age. Conclusions. Dukes' classification remains the best predictor of evolution. Although nucleomorphometric suitability is still controversial, this technique has become an additional tool to establish CRC prognosis.
Fil: Eynard, Hector G.. Hospital Privado Centro Médico de Córdoba; Argentina
Fil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Rovasio, Roberto Americo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Eynard, Aldo Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Materia
CLINICAL EVOLUTION
COLORECTAL CANCER
HISTOPATHOLOGY
IMAGE ANALYSIS
NUCLEAR MORPHOMETRY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/150571
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/150571
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Assessment of colorectal cancer prognosis through nuclear morphometryEynard, Hector G.Soria, Elio AndresCuestas, EduardoRovasio, Roberto AmericoEynard, Aldo RenatoCLINICAL EVOLUTIONCOLORECTAL CANCERHISTOPATHOLOGYIMAGE ANALYSISNUCLEAR MORPHOMETRYhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Due to the fact that different biological parameters play a key role in colonic malignant behavior, with nuclear morphometry being a prognostic marker in many malignancies, then predictive approaches in colorectal cancer (CRC) carried out on histologically well-defined groups may prevent interpretative errors. Subsequently, in the present study, CRC patients were screened according to the morphometric features of tumor cell nuclei, using an achúrate histotechnical approach, to analyze their clinical evolution according to Dukes? stratification. Materials and methods. A total of 66 cases were grouped according to Dukes? classification (5 y of follow-up). The perimeter, nuclear area, and shape factor of 50 interphase carcinoma nuclei were recorded through microphotographs obtained from each subject. Nuclei boundaries were drawn by an electronic pencil and examined by a computerized system. Data were submitted to a variance analysis, and a multiregression model compared results. Results. The sample was made up of 44 males (66.67%) and 22 females (33.33%) aged 59.7 +- 6 y old. Forty-nine patients (74.24%) were classified as stage B, and 17 (25.76%) as stage C. Nuclear homogeneity was confirmed by analysis of variance. The nuclear parameters were (mean +- SD): area (3.17 +- 1.74), perimeter (6.72 +- 1.83), and shape factor (0.82 +- 0.03). A multiple logistic regression model showed that stage C subjects had a higher risk of developing a worse clinical evolution than those at stage B (P < 0.02), independent of sex and age. Conclusions. Dukes' classification remains the best predictor of evolution. Although nucleomorphometric suitability is still controversial, this technique has become an additional tool to establish CRC prognosis.Fil: Eynard, Hector G.. Hospital Privado Centro Médico de Córdoba; ArgentinaFil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Rovasio, Roberto Americo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Eynard, Aldo Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaAcademic Press Inc Elsevier Science2009-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150571Eynard, Hector G.; Soria, Elio Andres; Cuestas, Eduardo; Rovasio, Roberto Americo; Eynard, Aldo Renato; Assessment of colorectal cancer prognosis through nuclear morphometry; Academic Press Inc Elsevier Science; Journal Of Surgical Research; 154; 2; 6-2009; 345-3480022-4804CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jss.2008.06.022info:eu-repo/semantics/altIdentifier/url/https://www.journalofsurgicalresearch.com/article/S0022-4804(08)00414-9/fulltextinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:07Zoai:ri.conicet.gov.ar:11336/150571instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:06:07.704CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessment of colorectal cancer prognosis through nuclear morphometry
title Assessment of colorectal cancer prognosis through nuclear morphometry
spellingShingle Assessment of colorectal cancer prognosis through nuclear morphometry
Eynard, Hector G.
CLINICAL EVOLUTION
COLORECTAL CANCER
HISTOPATHOLOGY
IMAGE ANALYSIS
NUCLEAR MORPHOMETRY
title_short Assessment of colorectal cancer prognosis through nuclear morphometry
title_full Assessment of colorectal cancer prognosis through nuclear morphometry
title_fullStr Assessment of colorectal cancer prognosis through nuclear morphometry
title_full_unstemmed Assessment of colorectal cancer prognosis through nuclear morphometry
title_sort Assessment of colorectal cancer prognosis through nuclear morphometry
dc.creator.none.fl_str_mv Eynard, Hector G.
Soria, Elio Andres
Cuestas, Eduardo
Rovasio, Roberto Americo
Eynard, Aldo Renato
author Eynard, Hector G.
author_facet Eynard, Hector G.
Soria, Elio Andres
Cuestas, Eduardo
Rovasio, Roberto Americo
Eynard, Aldo Renato
author_role author
author2 Soria, Elio Andres
Cuestas, Eduardo
Rovasio, Roberto Americo
Eynard, Aldo Renato
author2_role author
author
author
author
dc.subject.none.fl_str_mv CLINICAL EVOLUTION
COLORECTAL CANCER
HISTOPATHOLOGY
IMAGE ANALYSIS
NUCLEAR MORPHOMETRY
topic CLINICAL EVOLUTION
COLORECTAL CANCER
HISTOPATHOLOGY
IMAGE ANALYSIS
NUCLEAR MORPHOMETRY
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Due to the fact that different biological parameters play a key role in colonic malignant behavior, with nuclear morphometry being a prognostic marker in many malignancies, then predictive approaches in colorectal cancer (CRC) carried out on histologically well-defined groups may prevent interpretative errors. Subsequently, in the present study, CRC patients were screened according to the morphometric features of tumor cell nuclei, using an achúrate histotechnical approach, to analyze their clinical evolution according to Dukes? stratification. Materials and methods. A total of 66 cases were grouped according to Dukes? classification (5 y of follow-up). The perimeter, nuclear area, and shape factor of 50 interphase carcinoma nuclei were recorded through microphotographs obtained from each subject. Nuclei boundaries were drawn by an electronic pencil and examined by a computerized system. Data were submitted to a variance analysis, and a multiregression model compared results. Results. The sample was made up of 44 males (66.67%) and 22 females (33.33%) aged 59.7 +- 6 y old. Forty-nine patients (74.24%) were classified as stage B, and 17 (25.76%) as stage C. Nuclear homogeneity was confirmed by analysis of variance. The nuclear parameters were (mean +- SD): area (3.17 +- 1.74), perimeter (6.72 +- 1.83), and shape factor (0.82 +- 0.03). A multiple logistic regression model showed that stage C subjects had a higher risk of developing a worse clinical evolution than those at stage B (P < 0.02), independent of sex and age. Conclusions. Dukes' classification remains the best predictor of evolution. Although nucleomorphometric suitability is still controversial, this technique has become an additional tool to establish CRC prognosis.
Fil: Eynard, Hector G.. Hospital Privado Centro Médico de Córdoba; Argentina
Fil: Soria, Elio Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Cuestas, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
Fil: Rovasio, Roberto Americo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Eynard, Aldo Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina
description Due to the fact that different biological parameters play a key role in colonic malignant behavior, with nuclear morphometry being a prognostic marker in many malignancies, then predictive approaches in colorectal cancer (CRC) carried out on histologically well-defined groups may prevent interpretative errors. Subsequently, in the present study, CRC patients were screened according to the morphometric features of tumor cell nuclei, using an achúrate histotechnical approach, to analyze their clinical evolution according to Dukes? stratification. Materials and methods. A total of 66 cases were grouped according to Dukes? classification (5 y of follow-up). The perimeter, nuclear area, and shape factor of 50 interphase carcinoma nuclei were recorded through microphotographs obtained from each subject. Nuclei boundaries were drawn by an electronic pencil and examined by a computerized system. Data were submitted to a variance analysis, and a multiregression model compared results. Results. The sample was made up of 44 males (66.67%) and 22 females (33.33%) aged 59.7 +- 6 y old. Forty-nine patients (74.24%) were classified as stage B, and 17 (25.76%) as stage C. Nuclear homogeneity was confirmed by analysis of variance. The nuclear parameters were (mean +- SD): area (3.17 +- 1.74), perimeter (6.72 +- 1.83), and shape factor (0.82 +- 0.03). A multiple logistic regression model showed that stage C subjects had a higher risk of developing a worse clinical evolution than those at stage B (P < 0.02), independent of sex and age. Conclusions. Dukes' classification remains the best predictor of evolution. Although nucleomorphometric suitability is still controversial, this technique has become an additional tool to establish CRC prognosis.
publishDate 2009
dc.date.none.fl_str_mv 2009-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/150571
Eynard, Hector G.; Soria, Elio Andres; Cuestas, Eduardo; Rovasio, Roberto Americo; Eynard, Aldo Renato; Assessment of colorectal cancer prognosis through nuclear morphometry; Academic Press Inc Elsevier Science; Journal Of Surgical Research; 154; 2; 6-2009; 345-348
0022-4804
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150571
identifier_str_mv Eynard, Hector G.; Soria, Elio Andres; Cuestas, Eduardo; Rovasio, Roberto Americo; Eynard, Aldo Renato; Assessment of colorectal cancer prognosis through nuclear morphometry; Academic Press Inc Elsevier Science; Journal Of Surgical Research; 154; 2; 6-2009; 345-348
0022-4804
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jss.2008.06.022
info:eu-repo/semantics/altIdentifier/url/https://www.journalofsurgicalresearch.com/article/S0022-4804(08)00414-9/fulltext
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Inc Elsevier Science
publisher.none.fl_str_mv Academic Press Inc Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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