A comprehensive evaluation of the accuracy of cervical pre-cancer detection methods in a high-risk area in East Congo View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-03

AUTHORS

S Hovland, M Arbyn, A K Lie, W Ryd, B Borge, E J Berle, H Skomedal, T M Kadima, L Kyembwa, E M Billay, D Mukwege, R B Chirimwami, T M Mvula, P J Snijders, C J L M Meijer, F Karlsen

ABSTRACT

BACKGROUND: Given the high burden of cervical cancer in low-income settings, there is a need for a convenient and affordable method for detecting and treating pre-cancerous lesions. METHODS: Samples for comparing the accuracy of cytology, virology and histology were collected. Identification of HPV E6/E7 mRNA was performed using PreTect HPV-Proofer. HPV DNA detection was performed by GP5+/6+ PCR, followed by reverse line blot (RLB) for typing. RESULTS: A total of 343 women, aged 25-60 years, attending gynaecological polyclinics in DR Congo were included for sample enrolment. The test positivity rate was conventional and liquid-based cytology (LBC) at cutoff ASCUS+ of 6.9 and 6.6%, respectively; PreTect HPV-Proofer of 7.3%; and consensus DNA PCR for 14 HR types of 18.5%. Sixteen cases of CIN2+ lesions were identified. Of these, conventional cytology identified 66.7% with a specificity of 96.2%, LBC identified 73.3% with a specificity of 96.9%, all at cutoff ASCUS+. HR-HPV DNA detected all CIN2+ cases with a specificity of 85.9%, whereas PreTect HPV-Proofer gave a sensitivity of 81.3% and a specificity of 96.6%. CONCLUSION: Both HPV detection assays showed a higher sensitivity for CIN2+ than did cytological methods. Detecting E6/E7 mRNA from only a subset of HR HPVs, as is the case with PreTect HPV-Proofer, resulted in a similar specificity to cytology and a significantly higher specificity than consensus HR HPV DNA (P<0.0001). More... »

PAGES

957

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.bjc.6605594

DOI

http://dx.doi.org/10.1038/sj.bjc.6605594

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015763692

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20197765


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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RDF/XML is a standard XML format for linked data.

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