Semiautomatic PAPNET analysis of proliferating (MIB-1-positive) cells in cervical cytology and histology

✍ Scribed by Mathilde E. Boon; Samuel Beck; L. P. Kok

• Publisher: John Wiley and Sons
• Year: 1995
• Tongue: English
• Weight: 596 KB
• Volume: 13
• Category: Article
• ISSN: 8755-1039
• DOI: 10.1002/dc.2840130510

✦ Synopsis

With the event of microwave-antigen retrieval it has becomepossible to detect proliferating cells (staining positive for MiB-I) in cervical smears containing epithelial fmgments and in parafin 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 theproliferation index for distinguishing moderate dysplasia from carcinoma in situ. In repair cells, aN 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 '~alse-negative"and ' ffalse-positive" smears, and for quantifying proliferation in sections of carcinoma in situ.