New Test Could Improve Cervical Cancer Screening

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Research published in the Journal of the National Cancer Institute suggests a new computer algorithm can detect cervical dysplasia, also called cervical intraepithelial neoplasia or CIN – a premalignant condition that can lead to cervical cancer – as good as or better than current screening methods, which typically involve conventional Pap tests combined with human papillomavirus (HPV) testing.

A computer-interpreted Pap test using this new algorithm could automate the cervical cancer screening process – which is currently labor intensive and not readily available in underserved areas. In a study conducted at Kaiser Permanente Northern California, researchers compared the computer algorithm to Pap test results in 1,839 women who tested positive for HPV in 2010, and 243,807 women who were screened for cervical cancer at Kaiser Permanente.

According to the researchers, the computer algorithm matched or exceeded Pap/HPV test performance in this study, suggesting it could help improve screening and provide better guidance for treatment decisions for women with or at high risk for cervical cancer.

Sourced from: Journal of the National Cancer Institute