Predicting Treatment Outcome in Cervical Diseases Using Liquid-based Cytology, Dynamic HPV Genotyping and DNA Cytometry
Background: In this study, our prospective experience with a multimodal follow-up protocol is summarized, with special emphasis on predicting the treatment outcome of cervical diseases. Materials and Methods: Liquid-based cytology samples (ThinPrep) from 209 women exhibiting the whole spectrum of hu...
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Published in: | Anticancer research Vol. 26; no. 2B; pp. 1439 - 1446 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Attiki
International Institute of Anticancer Research
01-03-2006
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Subjects: | |
Online Access: | Get full text |
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Summary: | Background: In this study, our prospective experience with a multimodal follow-up protocol is summarized, with special emphasis
on predicting the treatment outcome of cervical diseases. Materials and Methods: Liquid-based cytology samples (ThinPrep)
from 209 women exhibiting the whole spectrum of human papilloma virus (HPV)-related cervical diseases were investigated by
cytology, PCR-based HPV genotyping and DNA cytometry pre-surgery. The first control cytology and type-specific HPV tests were
performed at 3 months post-surgery. Results: The success rate of surgery was 95% in eradicating high-grade cervical disease
and 90% in eliminating the baseline HPV genotype. Treatment failure was significantly correlated with baseline cytology (p=0.011),
resection margin status (p=0.016) and HPV positivity at 3 months post-surgery (p=0.04). Multivariate logistic regression analysis
showed that type-specific persistent HPV infection (p=0.028), baseline cytology (p=0.039) and histology (p=0.065) were independent
predictors of residual cervical neoplasias. Conclusion: Our results showed that our multimodal surveillance protocol may help
to individually assess the anticipated clinical outcome of cervical diseases post-surgery. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0250-7005 1791-7530 |