Literature DB >> 8482164

Morphometric analysis of colorectal cancer.

G T Deans1, P W Hamilton, P C Watt, M Heatley, K Williamson, C C Patterson, B J Rowlands, G Parks, R Spence.   

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.

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Year:  1993        PMID: 8482164     DOI: 10.1007/bf02050010

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  3 in total

1.  Quantitative pathology: historical background, clinical research and application of nuclear morphometry and DNA image cytometry.

Authors:  Abdelbaset Buhmeida
Journal:  Libyan J Med       Date:  2006-09-20       Impact factor: 1.657

2.  Development of on-chip multi-imaging flow cytometry for identification of imaging biomarkers of clustered circulating tumor cells.

Authors:  Hyonchol Kim; Hideyuki Terazono; Yoshiyasu Nakamura; Kazuko Sakai; Akihiro Hattori; Masao Odaka; Mathias Girault; Tokuzo Arao; Kazuto Nishio; Yohei Miyagi; Kenji Yasuda
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

3.  Utility of nuclear morphometry in predicting grades of diffusely infiltrating gliomas.

Authors:  Dibyajyoti Boruah; Prabal Deb
Journal:  ISRN Oncol       Date:  2013-08-26
  3 in total

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