A preliminary study of the potential of tree classifiers in triage of high-grade squamous intraepithelial lesions
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Karakitsos, P.
Pouliakis, A.
Meristoudis, C.
Margari, N.
Kassanos, D.
Kyrgiou, M.
Panayiotides, J. G.
Paraskevaidis, E.
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peer-reviewed
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Anal Quant Cytol Histol
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OBJECTIVE: To investigate the potential value of tree classifiers for the triage of high-grade squamous intraepithelial lesions. STUDY DESIGN: The dataset comprised 808 histologically confirmed cases having a complete range of the cytologic sample assessments--liquid-based cytology, reflex human papillomavirus (HPV) DNA test, E6/E7 HPV mRNA test, and p16 immunocytochemical examinations. Data include 488 histologically negative (cervical intraepithelial neoplasia [CIN] 1 and below) or clinically negative cases and 320 with histologic diagnosis of CIN 2 or worse. Cytologic diagnosis was made according to the criteria of the Bethesda System. Cases were classified in two groups according to histology: those with CIN 2 or worse and those with CIN 1 and below. Fifty percent were randomly selected as a training set and the remaining were as a test set. RESULTS: Application of tree classifier on the test set gave correct classification of 66.9% for CIN 2 and above cases and 97.3% for CIN 1 and below, producing overall accuracy of 91.5%, outperforming cytologic diagnosis alone. CONCLUSION: Application of tree classifiers, based on standard cytologic diagnosis and expression of studied biomarkers, produces improved classification results for cervical precancerous lesions and cancer diagnosis and
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*Algorithms, Cervical Intraepithelial Neoplasia/*diagnosis/etiology/pathology, Epithelial Cells/*pathology, Female, Humans, Neoplasms, Squamous Cell/*diagnosis/etiology/pathology, Papillomavirus Infections/complications/pathology/virology, Uterine Cervical Neoplasms/*diagnosis/etiology/pathology
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http://www.ncbi.nlm.nih.gov/pubmed/21980616
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en
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Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής