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Semiautomatic PAPNET analysis of proliferating (MIB‐1‐positive) cells in cervical cytology and histology
Author(s) -
Boon Mathilde E.,
Beck Samuel,
Kok L. P.
Publication year - 1995
Publication title -
diagnostic cytopathology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.417
H-Index - 65
eISSN - 1097-0339
pISSN - 8755-1039
DOI - 10.1002/dc.2840130510
Subject(s) - pathology , staining , carcinoma in situ , dysplasia , cytology , medicine , histology , cytopathology , in situ , carcinoma , endocervix , cervical carcinoma , epithelium , cervical cancer , uterine cervix , chemistry , cancer , organic chemistry
With the event of microwave‐antigen retrieval it has become possible to detect proliferating cells (staining positive for MiB‐1) in cervical smears containing epithelial fragments and in paraffin sections containing cancerous cervical epithelium. The PAPNET system, using neural network computing, is able to collect from the slides epithelial fragments with positive‐staining nuclei. The nuclei in epithelial fragments are semiautomatically quantitated using the PAPNET‐digitized images. The parameter PPN (proportion‐positive nuclei), in which the nuclear area of the positive nuclei is taken into account, prove to be superior to the proliferation index for distinguishing moderate dysplasia from carcinoma in situ. In repair cells, all four quantitative parameters are close to those of moderate dysplasias, indicating that this method is unfit for distinguishing these two entities. However, we show that MiB‐1 staining is valuable for the analysis of “false‐negative” and “false‐positive” smears, and for quantifying proliferation in sections of carcinoma in situ. © 1995 Wiley‐Liss, Inc.