SIMPLIFIED NUCLEAR GRADING OF FINE-NEEDLE ASPIRATES OF BREAST-CARCINOMA - CONCORDANCE WITH CORRESPONDING HISTOLOGIC NUCLEAR GRADING AND FLOW CYTOMETRIC DATA

Citation
Rs. Cajulis et al., SIMPLIFIED NUCLEAR GRADING OF FINE-NEEDLE ASPIRATES OF BREAST-CARCINOMA - CONCORDANCE WITH CORRESPONDING HISTOLOGIC NUCLEAR GRADING AND FLOW CYTOMETRIC DATA, Diagnostic cytopathology, 11(2), 1994, pp. 124-130
Citations number
NO
Categorie Soggetti
Medical Laboratory Technology",Pathology
Journal title
ISSN journal
87551039
Volume
11
Issue
2
Year of publication
1994
Pages
124 - 130
Database
ISI
SICI code
8755-1039(1994)11:2<124:SNGOFA>2.0.ZU;2-W
Abstract
Although histologic grading of breast carcinoma is widely practiced by most pathologists, cytologic grading of fine-needle aspirates (FNA) o f this neoplasm is not commonly done. This study addresses the issue o f the accuracy of a new classification system, a simplified Nuclear Gr ading (NG) system based on the criteria proposed by Black et al. (Surg Gynecol Obstet 1955;100;543) in FNA of breast carcinoma. We reviewed 100 cases of breast carcinoma, initially diagnosed by fine-needle aspi ration biopsy (FNAB) with subsequent histologic confirmation, consisti ng of 94 ductal, five lobular, and one medullary carcinoma. NG of Papa nicolaou's stained materials were reviewed twice independently by two pathologists and then were compared to the original histologic NG. The concordance rate with histology ranged from 80-90%. Intraobserver rep roducibility was 86 and 88%, while interobserver reproducibility range d from 84-88%. Of the 88 cases with corresponding flow cytometic (FCM) data, there were 35 diploid and 53 aneuploid cases. Fifty-nine (95%) of histologic high NG were aneuploid or diploid with high S-phase frac tion (SPF), while 20 (77%) of histologic low NG were diploid with low SPF. This study confirms that nuclear grading of FNA of breast carcino ma using a simplified NG system has a high concordance with histology, has high intraobserver and interobserver reproducibility, and that th is grading system correlates well with FCM analysis when tumors are si mply divided based on NG as high or low grade. (C) 1994 Wiley-Liss, In c.