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Decreased expression of Ki-67 in atrophic cervical epithelium of post-menopausal women

โœ Scribed by Bulten, Johan; de Wilde, Peter C. M.; Schijf, Charles; van der Laak, Jeroen A. W. M.; Wienk, Sandra; Poddighe, Pino J.; Hanselaar, Antonius G. J. M.


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
352 KB
Volume
190
Category
Article
ISSN
0022-3417

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โœฆ Synopsis


Papanicolaou-stained cervical smears (Pap smears) of post-menopausal women often present difficulties in distinguishing atrophic cervical epithelium from high-grade cervical intraepithelial neoplasia (CIN2-3). The aim of this study was to disclose differences in proliferative activity in normal cervical epithelium, cervical atrophy, and high-grade CIN lesions, in order to develop specific and sensitive classifiers to discriminate between cervical atrophy and high-grade CIN, both in cervical smears and in tissue sections. A case-control study was done on 83 patients. Proliferative activity was assessed in histological sections using the monoclonal antibody MIB1. An image analysis system was used to characterize different proliferation-associated features. Preceding Pap smears were restained with MIB1 and proliferative activity was measured by a point-counting procedure, carried out on a training set of 32 cases and a test set of 51 cases. In cervical atrophy, proliferative activity was significantly lower than in normal epithelium (p<0.001). Proliferative activity measured in both biopsies and cervical smears was considerably higher in high-grade CIN than in normal epithelium (p<0.001). Discriminant analyses resulted in four classifiers, based on proliferation parameters, to discriminate between cervical atrophy and high-grade CIN, and between CIN2 and CIN3, in biopsy specimens and cervical smears, respectively. The two classifiers for biopsy specimens resulted in 100% correct classification. Application of the classifier obtained from the training set of Pap smears resulted in 100% correct classification of the Pap smears in the test set. The classifier to discriminate between CIN2 and CIN3 in Pap smears, obtained from 36 patients, resulted in 87% and 90% correct classification, respectively.


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