1. Identification of women with high grade histopathology results after conisation by artificial neural networksMarko Mlinarič, Miljenko Križmarić, Iztok Takač, Alenka Repše-Fokter, 2022, original scientific article Abstract: 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.
Keywords: artificial neural networks, conisation, uterine cervical cancer, uterine cervical dysplasia, displazija materničnega vratu, rak materničnega vratu, konizacija, umetne nevronske mreže
Published in DiRROS: 24.07.2024; Views: 485; Downloads: 343
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2. Diagnostic performance of p16/Ki-67 dual immunostaining at different number of positive cells in cervical smears in women referred for colposcopyUršula Salobir Gajšek, Andraž Dovnik, Iztok Takač, Urška Ivanuš, Tine Jerman, Simona Šramek Zatler, Alenka Repše-Fokter, 2021, original scientific article Abstract: . The aim of the study was to evaluate the diagnostic accuracy of p16/Ki-67 dual immunostaining (p16/ Ki-67 DS) in cervical cytology and the number of positive p16/Ki-67 cells to diagnose high grade cervical intraepithelial neoplasia (CIN2+) in colposcopy population. Subjects and methods. We performed an analysis on a subset cohort of 174 women enrolled within a large-scale randomised controlled human papillomavirus (HPV) self-sampling project organised as part of the population-based Cervical Cancer Screening Programme ZORA in Slovenia. This subset cohort of patients was invited to the colposcopy clinic, underwent p16/Ki-67 DS cervical cytology and had the number of p16/Ki-67 positive cells determined. Results. Among analysed women, 42/174 (24.1%) had histologically confirmed CIN2+. The risk for CIN2+ was increasing with the number of positive cells (p < 0.001). The sensitivity of p16/Ki-67 DS for detection of CIN2+ was 88.1%, specificity was 65.2%, positive predictive value was 44.6% and negative predictive value was 94.5%. Conclusions. Dual p16/Ki-67 immunostaining for the detection of CIN2+ has shown high sensitivity and high negative predictive value in our study, which is comparable to available published data. The number of p16/Ki-67 positive cells was significantly associated with the probability of CIN2+ detection. We observed a statistically significant and clinically relevant increase in specificity if the cut-off for a positive test was shifted from one cell to three cells.
Keywords: cervical cytology, high-grade dysplasia, p16/Ki-67 immunostaining
Published in DiRROS: 22.07.2024; Views: 547; Downloads: 170
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3. Randomised trial of HPV self-sampling among non-attenders in the Slovenian cervical screening programme ZORA : comparing three different screening approachesUrška Ivanuš, Tine Jerman, Alenka Repše-Fokter, Iztok Takač, Veronika Kloboves-Prevodnik, Mateja Marčec, Uršula Salobir Gajšek, Maja Pakiž, Jakob Koren, Simona Hutter-Čelik, Kristina Gornik-Kramberger, Ulrika Klopčič, Rajko Kavalar, Simona Šramek Zatler, Biljana Grčar-Kuzmanov, Mojca Florjančič, Nataša Nolde, Srdjan Novaković, Mario Poljak, Maja Primic-Žakelj, 2018, original scientific article Published in DiRROS: 11.06.2024; Views: 626; Downloads: 473
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4. Navodila za citološke izvide brisov materničnega vratu : klasifikacija po BethesdiAna Pogačnik, Margareta Strojan Fležar, Alenka Repše-Fokter, Vivijana Snoj, Irena Srebotnik-Kirbiš, Maja Primic-Žakelj, 2020, dictionary, encyclopaedia, lexicon, manual, atlas, map Abstract: V Sloveniji poteka državni presejalni program za zgodnje odkrivanje predrakavih sprememb (ZORA) materničnega vratu od leta 2003. Od leta 2003 do 2008 smo znižali obolevnost za rakom materničnega vratu za skoraj 40 %, vendar pa uspešnost programa lahko še izboljšamo, tudi z rednim preverjanjem kakovosti dela ginekologov in citoloških laboratorijev, saj je spremljanje in nadziranje kakovosti vseh postopkov bistveni sestavni del vseh organiziranih presejalnih programov. Register ZORA zbira izvide brisov materničnega vratu (BMV) iz vseh desetih slovenskih laboratorijev, ki ustrezajo pogojem, določenim v Uradnem listu RS. Z registracijo vseh izvidov BMV smo vzpostavili učinkovit sistem spremljanja kakovosti vseh presejalnih postopkov.
Keywords: bris, citopatologija, klasifikacija, terminologija, elektronske knjige
Published in DiRROS: 10.03.2022; Views: 1410; Downloads: 717
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5. Programske smernice Državnega programa ZORAUrška Ivanuš, Edita Arh, Sonja Bebar, Branko Cvjetičanin, Dušan Deisinger, Mojca Florjančič, Aljoša Frelih, Urška Gašper, Biljana Grčar-Kuzmanov, Nina Jančar, Tine Jerman, Kaja Kališnik, Silvestra Kašnik-Čas, Veronika Kloboves-Prevodnik, Borut Kobal, Amela Duratović Konjević, Jerneja Kos, Gabrijela Kupljen, Mateja Lasič Pecev, Mateja Marčec, Leon Meglič, Sebastjan Merlo, Marko Mlinarič, Nataša Nolde, Irena Oblak, Maja Pakiž, Boštjan Pirš, Ana Pogačnik, Maja Primic-Žakelj, Alenka Repše-Fokter, Luka Roškar, Uršula Salobir Gajšek, Špela Sitar, Špela Smrkolj, Vivijana Snoj, Margareta Strojan Fležar, Tadeja Štrumbelj, Iztok Takač, Renata Toff-Jovan, Tomaž Tušek, Andreja Uštar, 2022, professional monograph Keywords: predrakave spremembe, zgodnja diagnostika, presejanje, presejalni programi, nacionalni programi, postopki, elektronske knjige
Published in DiRROS: 10.03.2022; Views: 1602; Downloads: 792
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6. Zbornikproceedings of professional or unreviewed scientific conference contributions Published in DiRROS: 09.06.2020; Views: 2576; Downloads: 878
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8. Navodila za poenotenje izvidov brisov materničnega vratuAna Pogačnik, Irena Srebotnik-Kirbiš, Alenka Repše-Fokter, Živa Pohar-Marinšek, Vivijana Snoj, Irena Kirar-Fazarinc, Maja Primic-Žakelj, 2005, dictionary, encyclopaedia, lexicon, manual, atlas, map Keywords: bris, citopatologija
Published in DiRROS: 04.06.2020; Views: 2546; Downloads: 750
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9. Navodila za citološke izvide brisov materničnega vratu - klasifikacija po BethesdiAna Pogačnik, Margareta Strojan Fležar, Alenka Repše-Fokter, Vivijana Snoj, Irena Srebotnik-Kirbiš, Maja Primic-Žakelj, 2011, dictionary, encyclopaedia, lexicon, manual, atlas, map Published in DiRROS: 04.06.2020; Views: 2670; Downloads: 661
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