Literature DB >> 1409075

Densitometric and morphometric study of immunocytochemical estrogen receptors detection in breast carcinomas.

G Santeusanio1, A Mauriello, S Schiaroli, L Anemona, L G Spagnoli, G Scambia, M Oberholzer.   

Abstract

Immunohistochemical quantitative evaluation of estrogen receptors (ER) detected in tissue sections from 30 breast tumors by monoclonal antibody was performed using a densitometric method. In particular, ER concentration was calculated by nuclear mean optical density (nMOD), while heterogeneity in ER content was calculated by the coefficient of variation (CV) of the nuclear optical density histogram. Tumors which showed more than 60% of positive cells had a mean value of ER-nMOD of 0.116 +/- 0.002 a.u. and of ER-CV of 33.74 +/- 0.68. Tumors which showed 30% to 60% of positive cells had a mean value of ER-nMOD of 0.082 +/- 0.006 a.u. (arbitrary units) and of ER-CV of 36.25 +/- 3.44. Tumors showing less than 30% of positive cells had ER-nMOD of 0.052 +/- 0.009 a.u. and ER-CV of 48.49 +/- 5.61. These results indicate that the greater the concentration the lower the ER heterogeneity within the tumor sample. No significant differences between ER-ICA results, nuclear size and form factors were found.

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Year:  1992        PMID: 1409075     DOI: 10.1016/S0344-0338(11)80041-5

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  2 in total

1.  Automation of immunohistochemical evaluation in breast cancer using image analysis.

Authors:  Keerthana Prasad; Avani Tiwari; Sandhya Ilanthodi; Gopalakrishna Prabhu; Muktha Pai
Journal:  World J Clin Oncol       Date:  2011-04-10

2.  Datamining approach for automation of diagnosis of breast cancer in immunohistochemically stained tissue microarray images.

Authors:  Keerthana Prasad; Bernhard Zimmermann; Gopalakrishna Prabhu; Muktha Pai
Journal:  Open Med Inform J       Date:  2010-05-28
  2 in total

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