Usefulness of Cytological Scoring Method by Breast Fine Needle Aspiration Cytology on Breast Duct Dilatation and Cystic Lesions

乳腺细针穿刺细胞学检查中细胞学评分方法在乳腺导管扩张和囊性病变中的应用价值

阅读:1

Abstract

AIM: The objective of this study was to apply a scoring method to fine needle aspiration cytology on breast duct dilatation and cystic lesions, to set an optimum cut-off value to differentiate between benign and malignant cases, and to identify features useful for cell judgment. MATERIALS AND METHODS: Samples were 23 preparations of specimens (12 benign and 11 malignant cases) suspected with intraductal lesions or cystic change by ultrasonography or mammography and cytology. The scoring system comprised the following 10 items, and each item was scored 1-3, with a total score of 10-30. Three items were concerning structural atypia: 1, scattered epithelial cells; 2, uneven irregular cluster edge; and 3, overlapping nuclei of epithelial cells, and seven items were concerning cellular atypia: 4, irregular nuclear size; 5, irregular nuclear morphology; 6, deep dyeing chromatin; 7, chromatin granularity; 8, chromatin distribution; 9, nucleolus; and 10, absence of myoepithelial cells. RESULTS: (1) Scoring cut-off value: malignancy is to be suspected when the score is 20.75 or higher (diagnostic accuracy: 95.7%). (2) Findings useful for cancer judgment: the sensitivity of the following four findings was high: uneven irregular cluster edge, irregular nuclear overlapping, chromatin granularity, and absence of myoepithelial cells. (3) Correlation among the findings: the findings correlated with malignancy were as follows: scattered epithelial cells versus uneven irregular cluster edge (rs = 0.8). CONCLUSION: Cytological evaluation by scoring lesions accompanied by intraductal dilatation and cystic change was a useful method capable of differentiating between benign and malignant cases at a high accuracy.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。