Literature DB >> 2302308

DNA ploidy in breast lesions. A comparative study using two commercial image analysis systems and flow cytometry.

D C Wilbur1, M F Zakowski, C M Kosciol, D F Sojda, W T Pastuszak.   

Abstract

DNA ploidy determinations on a series of 24 breast specimens were performed independently utilizing flow cytometry (FCM) and two separate commercially available computerized image analysis systems for image cytometry (ICM). The tissues analyzed were obtained from 20 carcinomas, 2 benign neoplasms and 2 benign reductive procedures. The results showed a close correlation between the DNA indices (DIs) obtained by all methods in 14 of the 24 cases. In four cases, all methods showed aneuploid peaks, but with differing DIs. In six cases (two benign and four malignant) FCM showed diploidy while ICM showed peridiploid cell populations. The results obtained with the two image analysis systems were in agreement for 20 of the 24 cases. ICM is an acceptable alternative to FCM for reproducible ploidy analysis. ICM-based measurements have the advantage of the visual discrimination of abnormal cells and therefore may have a greater sensitivity in identifying small aneuploid populations. Populations with DIs in the range of 1.0 to 1.3 need to be assessed carefully in ICM-based determinations due to the potential that these "aneuploid" peaks may represent shifted diploid populations.

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Year:  1990        PMID: 2302308

Source DB:  PubMed          Journal:  Anal Quant Cytol Histol        ISSN: 0884-6812            Impact factor:   0.302


  5 in total

1.  Determination of the early time of death by computerized image analysis of DNA degradation: which is the best quantitative indicator of DNA degradation?

Authors:  Lijiang Liu; Xiji Shu; Liang Ren; Hongyan Zhou; Yan Li; Wei Liu; Cheng Zhu; Liang Liu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2007-08

2.  Interphase cytogenetic and AgNOR analyses of hydatidiform moles.

Authors:  M Watanabe; M Ghazizadeh; H Konishi; T Araki
Journal:  J Clin Pathol       Date:  1998-06       Impact factor: 3.411

Review 3.  The study of endocrine tumors by flow and image cytometry.

Authors:  Ingrid Zbieranowski; David Murray
Journal:  Endocr Pathol       Date:  1992-06       Impact factor: 3.943

4.  High levels of p53 protein expression do not correlate with p53 gene mutations in anaplastic large cell lymphoma.

Authors:  E Cesarman; G Inghirami; A Chadburn; D M Knowles
Journal:  Am J Pathol       Date:  1993-09       Impact factor: 4.307

5.  Comparison of flow and static image cytometry in the determination of ploidy.

Authors:  D Lanigan; P A McLean; B Curran; M Leader
Journal:  J Clin Pathol       Date:  1993-02       Impact factor: 3.411

  5 in total

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