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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Karakitsos, P. | en |
| dc.contributor.author | Pouliakis, A. | en |
| dc.contributor.author | Meristoudis, C. | en |
| dc.contributor.author | Margari, N. | en |
| dc.contributor.author | Kassanos, D. | en |
| dc.contributor.author | Kyrgiou, M. | en |
| dc.contributor.author | Panayiotides, J. G. | en |
| dc.contributor.author | Paraskevaidis, E. | en |
| dc.date.accessioned | 2015-11-24T19:39:42Z | - |
| dc.date.available | 2015-11-24T19:39:42Z | - |
| dc.identifier.issn | 0884-6812 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/24268 | - |
| dc.rights | Default Licence | - |
| dc.subject | *Algorithms | en |
| dc.subject | Cervical Intraepithelial Neoplasia/*diagnosis/etiology/pathology | en |
| dc.subject | Epithelial Cells/*pathology | en |
| dc.subject | Female | en |
| dc.subject | Humans | en |
| dc.subject | Neoplasms, Squamous Cell/*diagnosis/etiology/pathology | en |
| dc.subject | Papillomavirus Infections/complications/pathology/virology | en |
| dc.subject | Uterine Cervical Neoplasms/*diagnosis/etiology/pathology | en |
| dc.title | A preliminary study of the potential of tree classifiers in triage of high-grade squamous intraepithelial lesions | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/21980616 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.publicationDate | 2011 | - |
| heal.abstract | 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 | en |
| heal.journalName | Anal Quant Cytol Histol | en |
| heal.journalType | peer-reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ | |
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