OBJECTIVE: To correlate visual cytologic grade with automated nuclear morph
ometry of carcinoma of the breast.
STUDY DESIGN: We randomly selected 24 histologically proven infiltrating du
ctal carcinomas of the breast and 10 benign breast lesions (fibroadenoma).
Hematoxylin-eosin-stained fine needle aspiration cytology (FNAC) smears wer
e selected for both cytologic grade and automated image morphometry. The sa
me hematoxylin-eosin-stained FNAC smears were studied for area, convex area
, standard deviation of nuclear area, diameter, perimeter and convex perime
ters of nucleus. At least 100 cells from each case were measured with an im
age cytometer.
RESULTS: Mean nuclear area, standard deviation of nuclear area, nuclear dia
meter, convex area, convex perimeter and perimeter were significantly incre
ased from benign versus grade 1 carcinomas and grade 2 versus grade 2 and 3
carcinomas tone way ANOVA test). However, there was no significant differe
nce in grade 2 versus grade 3 carcinomas.
CONCLUSION: Automated image cytometry rapidly and successfully measures var
ious nuclear parameters. The measurement of various nuclear parameters woul
d be helpful in future applications of automated diagnosis and grading of b
reast carcinomas from cytologic material.