Athanassiadou P, Kavantzas N, Gonidi M, Athanassiades P, Liossi A, Nakopoulou L, Petrakakou E, Davaris P
Depts of Pathology and Clinical Therapeutic Alexandra Hospital, Medical School, National University of Athens, Greece.
J Exp Clin Cancer Res. 2001 Dec;20(4):481-6.
The aim of this study was to assess the nuclear/cytoplasmic (N/C) ratio using computerized image analysis of cervical smears with intraepithelial neoplasia (CIN) grade I to III associated or not with cellular changes of human papillomavirus (HPV) in an attempt to determine if this method is more sensitive for the estimation of the grade of CIN. One hundred and ten cervical smears from women with a mean age 35.03 years were studied. The cytological diagnosis was as follows: CIN I + HPV (11), CIN II + HPV (11), CIN II + HPV (8), CIN I (7), CIN II (6), CIN III (8), Ca (22), HPV (32), CIN I-II + HPV (2) and CIN II-III + HPV (3). All cases were histologically examined: 93 cases were in agreement and 17 were under- or overestimated cytologically. The morphometric study of cervical smears was carried out by image analysis. Data were analysed by one way analysis of variance followed by Bonferroni test of multiple comparisons. Statistically significant differences were detected between the three grades of CIN or CIN HPV or only HPV (p<0.0001). The results demonstrated that the N/C ratio measured by image analysis on precancerous lesions of cervical smears could be considered as an additional tool for the classification of cervical smears, especially in determining the discrepancies between cytological and histological diagnoses.
本研究的目的是通过对伴有或不伴有人类乳头瘤病毒（HPV）细胞改变的宫颈涂片进行计算机图像分析来评估核/质（N/C）比率，以确定该方法在估计宫颈上皮内瘤变（CIN）分级方面是否更敏感。对110名平均年龄为35.03岁的女性的宫颈涂片进行了研究。细胞学诊断结果如下：CIN I + HPV（11例），CIN II + HPV（11例），CIN II + HPV（8例），CIN I（7例），CIN II（6例），CIN III（8例），癌（22例），HPV（32例），CIN I-II + HPV（2例）和CIN II-III + HPV（3例）。所有病例均进行了组织学检查：93例诊断相符，17例在细胞学检查中被低估或高估。通过图像分析对宫颈涂片进行形态计量学研究。数据采用单因素方差分析，随后进行Bonferroni多重比较检验。在CIN的三个级别、CIN合并HPV或仅HPV之间检测到统计学上的显著差异（p<0.0001）。结果表明，通过图像分析测量宫颈涂片癌前病变的N/C比率可被视为宫颈涂片分类的一种辅助工具，特别是在确定细胞学和组织学诊断之间的差异方面。
