Evaluation of agreement between conventional and liquid-based cytology in cervical cancer early detection based on analysis of 2,091 smears: Experience at the Brazilian National Cancer Institute
Article first published online: 15 AUG 2007
Copyright © 2007 Wiley-Liss, Inc.
Volume 35, Issue 9, pages 545–549, September 2007
How to Cite
Girianelli, V. R. and Thuler, L. C. S. (2007), Evaluation of agreement between conventional and liquid-based cytology in cervical cancer early detection based on analysis of 2,091 smears: Experience at the Brazilian National Cancer Institute. Diagn. Cytopathol., 35: 545–549. doi: 10.1002/dc.20699
- Issue published online: 15 AUG 2007
- Article first published online: 15 AUG 2007
- Manuscript Accepted: 19 JUN 2007
- Manuscript Received: 11 JUL 2006
- Brazilian National Cancer Institute (INCa)
- Ary Frauzino Foundation for Cancer Research and Control
- Digene Brazil
- evaluation studies;
- kappa coefficient;
- cervical cancer;
- Pap smear;
- liquid-based cytology
The aim of this work was to evaluate the agreement between conventional cytology (CC) and liquid-based cytology (LBC) in cervical cancer early detection.
The results of CC and LBC (DNACitoliq®) in 2,059 women aged 25–59 years were compared. The percent agreement, kappa coefficient, prevalence-adjusted bias-adjusted kappa coefficient (PABAK), and Chamberlain's percent positive agreement (PPA) were calculated.
The percent agreement between the two methods was very good (80% and 79%, respectively, for normal versus ASCUS+; and normal versus ASCUS, AGUS and LSIL+ vs. HSIL+). The kappa coefficient indicates slight agreement (0.26 and 0.23, respectively), but when PABAK was used the agreement was good (0.61 and 0.68, respectively). PPA was high for normal results (79.2%) and low for the remaining categories.
To conclude, in this study, agreement between LBC and CC was only good for normal results, which involves the majority of cases and positively influences the overall agreement rate. Diagn. Cytopathol. 2007;35:545-549. © 2007 Wiley-Liss, Inc.