dc.creatorEynard, Hector G.
dc.creatorSoria, Elio Andres
dc.creatorCuestas, Eduardo
dc.creatorRovasio, Roberto Americo
dc.creatorEynard, Aldo Renato
dc.date.accessioned2022-01-24T20:12:22Z
dc.date.accessioned2022-10-15T13:15:02Z
dc.date.available2022-01-24T20:12:22Z
dc.date.available2022-10-15T13:15:02Z
dc.date.created2022-01-24T20:12:22Z
dc.date.issued2009-06
dc.identifierEynard, 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.identifier0022-4804
dc.identifierhttp://hdl.handle.net/11336/150571
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4390260
dc.description.abstractDue 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.languageeng
dc.publisherAcademic Press Inc Elsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jss.2008.06.022
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.journalofsurgicalresearch.com/article/S0022-4804(08)00414-9/fulltext
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCLINICAL EVOLUTION
dc.subjectCOLORECTAL CANCER
dc.subjectHISTOPATHOLOGY
dc.subjectIMAGE ANALYSIS
dc.subjectNUCLEAR MORPHOMETRY
dc.titleAssessment of colorectal cancer prognosis through nuclear morphometry
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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