scholarly journals Distribution of 14 high risk HPV types in cervical intraepithelial neoplasia detected by a non-radioactive general primer PCR mediated enzyme immunoassay

1999 ◽  
Vol 52 (1) ◽  
pp. 17-22 ◽  
Author(s):  
I. Nindl ◽  
B. Lotz ◽  
R. Kuhne-Heid ◽  
U. Endisch ◽  
A. Schneider
Keyword(s):  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Enzyme Immunoassay ◽  
Intraepithelial Neoplasia ◽  
Hpv Types ◽  
High Risk Hpv

Relationship of Up-Regulation of 67-kd Laminin Receptor to Grade of Cervical Intraepithelial Neoplasia and to High-Risk HPV Types and Prognosis in Cervical Cancer

2006 ◽  
Vol 50 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Margherita Branca ◽  
Colomba Giorgi ◽  
Marco Ciotti ◽  
Donatella Santini ◽  
Luigi Di Bonito ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Intraepithelial Neoplasia ◽  
Laminin Receptor ◽  
Hpv Types ◽  
High Risk Hpv ◽  
Relationship Of

Presence of koilocytosis in low-grade smears of high-risk HPV-positive women is a negative predictor for cervical intraepithelial neoplasia grade 3 or more

Cytopathology ◽  
2018 ◽  
Vol 29 (3) ◽  
pp. 275-280 ◽  
Author(s):  
A. G. Siebers ◽  
H. van der Linden ◽  
J. E. M. Vedder ◽  
R. L. M. Bekkers ◽  
W. L. G. Melchers ◽  
...  
Keyword(s):  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Intraepithelial Neoplasia ◽  
Low Grade ◽  
Cervical Intraepithelial Neoplasia Grade ◽  
Grade 3 ◽  
High Risk Hpv ◽  
Negative Predictor

High risk HPV and p53 protein expression in cervical intraepithelial neoplasia

2000 ◽  
Vol 71 (1) ◽  
pp. 45-48 ◽  
Author(s):  
J. Vassallo ◽  
S.F.M. Derchain ◽  
G.A. Pinto ◽  
E.Z. Martinez ◽  
K.J. Syrjänen ◽  
...  
Keyword(s):  
High Risk ◽  
Protein Expression ◽  
Cervical Intraepithelial Neoplasia ◽  
P53 Protein ◽  
Intraepithelial Neoplasia ◽  
P53 Protein Expression ◽  
High Risk Hpv

scholarly journals Addition of high-risk HPV testing improves the current guidelines on follow-up after treatment for cervical intraepithelial neoplasia

2001 ◽  
Vol 84 (6) ◽  
pp. 796-801 ◽  
Author(s):  
M A E Nobbenhuis ◽  
C J L M Meijer ◽  
A J C van den Brule ◽  
L Rozendaal ◽  
F J Voorhorst ◽  
...  
Keyword(s):  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Intraepithelial Neoplasia ◽  
Hpv Testing ◽  
High Risk Hpv ◽  
Current Guidelines

scholarly journals Credentialing of DNA methylation assays for human genes as diagnostic biomarkers of cervical intraepithelial neoplasia in high-risk HPV positive women

2014 ◽  
Vol 132 (3) ◽  
pp. 709-714 ◽  
Author(s):  
Nataša Vasiljević ◽  
Dorota Scibior-Bentkowska ◽  
Adam R. Brentnall ◽  
Jack Cuzick ◽  
Attila T. Lorincz
Keyword(s):  
Dna Methylation ◽  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Intraepithelial Neoplasia ◽  
Diagnostic Biomarkers ◽  
Human Genes ◽  
High Risk Hpv

scholarly journals The Relationship between Syntactic Structure Analysis Features, Histological Grade and High-Risk HPV DNA in Cervical Intraepithelial Neoplasia

2004 ◽  
Vol 26 (3) ◽  
pp. 135-141
Author(s):  
Arnold‐Jan Kruse ◽  
Susanne Buhr‐Wildhagen ◽  
Emiel A. Janssen ◽  
Jan P.A. Baak
Keyword(s):  
High Risk ◽  
Cervical Intraepithelial Neoplasia ◽  
Structure Analysis ◽  
Syntactic Structure ◽  
Surrogate Marker ◽  
Intraepithelial Neoplasia ◽  
Stepwise Discriminant Analysis ◽  
Hpv Dna ◽  
High Risk Hpv ◽  
Syntactic Structure Analysis

Aim: To assess the correlation between syntactic structure analysis (SSA) features, revised dysplasia grade and the presence of high‐risk human papillomavirus DNA in cervical intraepithelial neoplasia (CIN). Materials and methods: HPV polymerase chain reaction (PCR) was assessed in 101 consecutive biopsies and consensus in CIN grade between the experts occurred in 88 cases (CIN1=16, CIN2=27, CIN3=45). SSA was performed in the diagnostic histological section of the CIN lesions in these patients and SSA features were compared with the blind review CIN grade, and presence/absence of high‐risk HPV DNA. Results: One of the SSA features (points from which the surrounding surfaces has 4 edges, PECO‐4) was significantly different between all three consensus CIN grades. Many more features revealed significant differences between CIN1 and CIN2 or between CIN2 and CIN3 cases. With stepwise discriminant analysis, the best multivariate combination of features to distinguish the different CIN grades were the Maximum MST Line Length (MML) and the Area Disorder. Crude overall classification of the consensus grades with these features was 69%. The MML and the Area Disorder is also the best combination to distinguish cases with and without high‐risk HPV DNA (77% correct classifications). Conclusions: SSA features are correlated with both CIN grade and presence of high‐risk HPV DNA, but the discrimination power is not good enough to be used as a routine method for quality control of subjective grade or as a surrogate marker for high‐risk HPV DNA presence.

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