Iskanje po repozitoriju

A+ | A- | | SLO | ENG

Povzetek: Background: The aim of the study was to evaluate if artificial neural networks can predict high-grade histopathology results after conisation from risk factors and their combinations in patients undergoing conisation because of pathological changes on uterine cervix. Patients and methods: We analysed 1475 patients who had conisation surgery at the University Clinic for Gynaecology and Obstetrics of University Clinical Centre Maribor from 1993-2005. The database in different datasets was arranged to deal with unbalance data and enhance classification performance. Weka open-source software was used for analysis with artificial neural networks. Last Papanicolaou smear (PAP) and risk factors for development of cervical dysplasia and carcinoma were used as input and high-grade dysplasia Yes/No as output result. 10-fold cross validation was used for defining training and holdout set for analysis. Results: Baseline classification and multiple runs of artificial neural network on various risk factors settings were performed. We achieved 84.19% correct classifications, area under the curve 0.87, kappa 0.64, F-measure 0.884 and Matthews correlation coefficient (MCC) 0.640 in model, where baseline prediction was 69.79%. Conclusions: With artificial neural networks we were able to identify more patients who developed high-grade squamous intraepithelial lesion on final histopathology result of conisation as with baseline prediction. But, characteristics of 1475 patients who had conisation in years 1993-2005 at the University Clinical Centre Maribor did not allow reliable prediction with artificial neural networks for every-day clinical practice.
Ključne besede: artificial neural networks, conisation, uterine cervical cancer, uterine cervical dysplasia, displazija materničnega vratu, rak materničnega vratu, konizacija, umetne nevronske mreže
Objavljeno v DiRROS: 24.07.2024; Ogledov: 202; Prenosov: 119
Celotno besedilo (663,31 KB)
Gradivo ima več datotek! Več...

Ključne besede: papiloma virusi, infekcije, prevalenca, vakcinacija, presejanje, endometrij, adenokarcinom, konizacija, citodiagnostika, predrakave spremembe, kolposkopija, program ZORA, zborniki
Objavljeno v DiRROS: 02.06.2020; Ogledov: 2186; Prenosov: 745
Celotno besedilo (9,40 MB)

Ključne besede: konizacija, ekscizijski rob, histopatološki izvid
Objavljeno v DiRROS: 09.04.2020; Ogledov: 1957; Prenosov: 518
Celotno besedilo (59,13 KB)

Ključne besede: kolposkopija, rak materničnega vratu, konizacija, laserska vaporizacija, obsevanje
Objavljeno v DiRROS: 09.04.2020; Ogledov: 2007; Prenosov: 540
Celotno besedilo (60,58 KB)