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  • 1
    ISSN: 1432-2307
    Keywords: Key words Renal parenchymal carcinoma ; Renal cell carcinoma ; Classification ; Staging ; Grading
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  The epithelial tumours of the adult kidney, in particular renal cell carcinoma (RCC), are a variety of neoplasms that can be classified by morphology and genotype. Although most are well characterised, typical and less typical tumour variants are recognised. There is evidence to indicate that stage is one of the most important prognostic factors, irrespective of tumour subtype. However, the appropriate handling of nephrectomy specimens is essential for accurate evaluation of diagnostic and prognostic factors in RCC. The problem of how to achieve more objective nuclear grading is still unresolved. The use of diagnostic decision support systems offers the possibility of a flexible approach to this problem, while still utilising morphological criteria. The histopathological analysis remains important, but new techniques of molecular and cell biology will be providing new tools of extraordinary power to sharpen the diagnosis and give it a biological interpretation.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1530-0358
    Keywords: Image analysis ; Colorectal neoplasms ; Survival analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Thirteen nuclear and cellular morphometric variables were measured in 312 cases of colorectal adenocarcinoma. All variables, except nuclear shape factors, differed significantly (P〈0.001) between normal colorectal and tumor tissue. In adenocarcinomas, epithelial nuclei in well-differentiated mucosa tended to be elliptic, while those in poorly differentiated mucosa were more spheric. Increasing values of maximum nuclear and elliptic diameter were associated with progression from none to simple tubule configuration (P〈0.001), none to easily discerned nuclear polarity (P〈0.001), and expanding growth pattern (P〈0.001). Univariate survival analysis revealed that none of the morphometric variables was significantly related to patient survival. Multivariate regression analysis showed that no morphometric variable could add significantly to a model containing the variables of patient age, Dukes stage, and tumor differentiation. Morphometry may be useful in distinguishing malignant from normal tissue and degrees of differentiation, but it is of little prognostic value in colorectal adenocarcinoma.
    Type of Medium: Electronic Resource
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