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Pap Smears have always been the gold standard technique
used in diagnosis of early cervical cancer, however, little progress
in this method has been made in the last 50 years, and the sensitivity
and false negatives still remain an issue.
Standard cytology has an element of human error, however, if
this is combined with identification of a carcinogenic Human Papilloma
Virus by DNA analysis, the sensitivity increases to 96% and has
a positive predictive value of 64% for detecting CIN. This could
provide definitive evidence of the development of cervical cancer.
A HPV DNA analysis determines the absolute viral load in a sample
for 13 viral types responsible for the pathogenesis of high-grade
cervical disease and invasive cancer. The test minimizes the risk
of misdiagnosis. Since it is DNA-based, the accuracy of results
are undisputed.
- HPV has been established as the major etiological (causative)
agent for cervical cancer
- When combined with a Pap Smear, follow up time may be increased
from 2 to 5
years depending upon the result, thus saving annual check up
costs.
- HPV detection is associated with a minimum 100-fold increased
risk of high-grade
CIN (cervical intraepithelial Neoplasia)
- Women with Normal Pap Smears but with High Risk HPV types
are at an
increased risk of subsequent CIN within few years.
- HPV Test predicts the risk of progression to a more severe
decease.
1. Fill in the Test Request form by clicking on the ‘Test
Request’ button next to a test.
2. A staff from Eastern Biotech will contact you and provide all
necessary information.
3. An appointment with the nearest medical test centre will be
arranged for you to deliver cervical sample.
4. Payment for each test can be made at the test centre
5. Your sample will be processed at our affiliate laboratory and
the report will be delivered to you by email and also by post.
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HPV DNA only (20 subtypes; High Risk
& Low Risk)
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PAP/Cervical Cytology (Liquid Based Cytology)
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HPV DNA and mRNA
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HPV DNA Genotyping (High Risk)
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HPV DNA Genotyping (High Risk + Low Risk)
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