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dc.contributor.author
Eynard, Hector G.
dc.contributor.author
Soria, Elio Andres
dc.contributor.author
Cuestas, Eduardo
dc.contributor.author
Rovasio, Roberto Americo
dc.contributor.author
Eynard, Aldo Renato
dc.date.available
2022-01-24T20:12:22Z
dc.date.issued
2009-06
dc.identifier.citation
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
dc.identifier.issn
0022-4804
dc.identifier.uri
http://hdl.handle.net/11336/150571
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CLINICAL EVOLUTION
dc.subject
COLORECTAL CANCER
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HISTOPATHOLOGY
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IMAGE ANALYSIS
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NUCLEAR MORPHOMETRY
dc.subject.classification
Oncología
dc.subject.classification
Medicina Clínica
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Assessment of colorectal cancer prognosis through nuclear morphometry
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-12-03T19:26:49Z
dc.journal.volume
154
dc.journal.number
2
dc.journal.pagination
345-348
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Eynard, Hector G.. Hospital Privado Centro Médico de Córdoba; Argentina
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Journal Of Surgical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jss.2008.06.022
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.journalofsurgicalresearch.com/article/S0022-4804(08)00414-9/fulltext
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