Kwikkel H J, Timmers T, Boon M E, van Rijswijk M M, Stolk J G
Department of Obstetrics and Gynecology, Academic Hospital, Free University, Amsterdam, The Netherlands.
Anal Quant Cytol Histol. 1987 Oct;9(5):405-10.
The relationship between the quantitative features extracted from digitized images of visually normal intermediate cells in cervical intraepithelial neoplasia (CIN) I and II smears and the subsequent follow-up diagnosis was studied. Using the ISPAHAN interactive system of pattern recognition, the average rate of correct classification of progressive or nonprogressive lesions was 80% at the specimen level. It is concluded that additional diagnostic information regarding the probability of progression of CIN I and II lesions may be obtained by studying the microphotometric features of visually normal intermediate cells in the cervical smears. Significant differences were found between intermediate cells close to obviously dysplastic cells and those at a distance. The implication of this finding and the problems involved in the selection of the cells are briefly discussed.
研究了从宫颈上皮内瘤变(CIN)I级和II级涂片的视觉正常中间细胞的数字化图像中提取的定量特征与后续随访诊断之间的关系。使用ISPAHAN模式识别交互系统,在标本水平上,进展性或非进展性病变的正确分类平均率为80%。结论是,通过研究宫颈涂片中视觉正常中间细胞的显微光度特征,可能获得有关CIN I级和II级病变进展概率的额外诊断信息。发现靠近明显发育异常细胞的中间细胞与远处的中间细胞之间存在显著差异。简要讨论了这一发现的意义以及细胞选择中涉及的问题。