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HPV Detection Methods: Towards Personalized Prevention
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Author(s): Aris Spathis (University of Athens, Greece), Christine Kottaridi (University of Athens, Greece), Abraham Pouliakis (University of Athens, Greece), Stavros Archondakis (401 Army General Hospital, Greece)and Petros Karakitsos (University of Athens, Greece)
Copyright: 2017
Pages: 35
Source title:
Oncology: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-0549-5.ch008
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Abstract
Human papilloma viruses (HPVs) have been acknowledged to be the leading risk factor of cervical intra-epithelial lesion creation (CIN) and cervical cancer development (CxCa). Many different techniques have been created and utilized in HPV detection and monitoring with a vast amount of them being commercialized and few of them integrated in official screening strategies. A growing trend for DNA typing of the 14 most commonly accepted high risk HPV types has been introduced, supporting that in many cases molecular testing could replace classic morphologic diagnostic routines, even though DNA detection has lower specificity than other molecular and morphology tests. However, there have been limited attempts in combining data from all different techniques to provide efficient patient triaging schemes, since, apart from the obvious increase of patient cost, the amount of data and its interpretation in patient management has been impossible. Complex computer based clinical support decision systems, many of which are based on artificial intelligence may abolish these limitations.
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