Nuclear image morphometry and cytologic grade of breast carcinoma

被引:0
作者
Dey, P [1 ]
Ghoshal, S
Pattari, SK
机构
[1] Postgrad Inst Med Educ & Res, Dept Cytol, Chandigarh 160012, Pin, India
[2] Postgrad Inst Med Educ & Res, Dept Radiotherapy, Chandigarh 160012, Pin, India
[3] Postgrad Inst Med Educ & Res, Dept Pathol, Chandigarh 160012, Pin, India
来源
ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY | 2000年 / 22卷 / 06期
关键词
breast neoplasms; aspiration biopsy; image cytometry;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
OBJECTIVE: To correlate visual cytologic grade with automated nuclear morphometry of carcinoma of the breast. STUDY DESIGN: We randomly selected 24 histologically proven infiltrating ductal carcinomas of the breast and 10 benign breast lesions (fibroadenoma). Hematoxylin-eosin-stained fine needle aspiration cytology (FNAC) smears were selected for both cytologic grade and automated image morphometry. The same hematoxylin-eosin-stained FNAC smears were studied for area, convex area, standard deviation of nuclear area, diameter, perimeter and convex perimeters of nucleus. At least 100 cells from each case were measured with an image cytometer. RESULTS: Mean nuclear area, standard deviation of nuclear area, nuclear diameter, convex area, convex perimeter and perimeter were significantly increased from benign versus grade 1 carcinomas and grade 2 versus grade 2 and 3 carcinomas tone way ANOVA test). However, there was no significant difference in grade 2 versus grade 3 carcinomas. CONCLUSION: Automated image cytometry rapidly and successfully measures various nuclear parameters. The measurement of various nuclear parameters would be helpful in future applications of automated diagnosis and grading of breast carcinomas from cytologic material.
引用
收藏
页码:483 / 485
页数:3
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