1. Poročilo o preskusu št.: LVG 2024-081 : vzorec št. 2024/00427Nikica Ogris, Špela Hočevar, Barbara Piškur, 2024, expertise, arbitration decision Keywords: varstvo gozdov, morfološke analize, program preiskav, Fusarium circinatum, Pinus, borov smolasti rak, PCR
Published in DiRROS: 05.08.2024; Views: 43; Downloads: 0
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2. Poročilo o preskusu št.: LVG 2024-080 : vzorec št. 2024/00409Barbara Piškur, Špela Hočevar, 2024, expertise, arbitration decision Keywords: varstvo gozdov, morfološke analize, program preiskav, Fusarium circinatum, Pinus, borov smolasti rak, PCR
Published in DiRROS: 05.08.2024; Views: 33; Downloads: 0
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3. Rak neznanega izvora : nas izvor bolezni še zanimaErika Matos, Snežana Pavlović Djokić, Srdjan Novaković, Marina Čakš, Rok Devjak, Nežka Hribernik, Kaja Cankar, 2024, professional article Abstract: Rak neznanega izvora (RNI) je opredeljen kot karcinom ali nediferencirana neoplazma, pri kateri z naborom standardnih diagnostičnih postopkov ni mogoče odkriti izvornega mesta bolezni. Tradicionalno RNI delimo v dve podskupini, pri čemer le približno 15 % primerov predstavlja prognostično ugodno skupino. Velika večina bolnikov spada v prognostično neugodno skupino in ima ob prvi prezentaciji obsežno breme bolezni. Možnosti zdravljenja so omejene, izidi bolnikov, zdravljenih z empirično kemoterapijo (KT) s platino ali taksani, pa so še vedno slabi, srednje celokupno preživetje je manj kot 10 mesecev. Za mnoge bolnike ostaja optimalna izbira najboljše možno podporno zdravljenje. Novi pristopi k obravnavi teh bolnikov se zdijo obetavni in so temeljit premik v paradigmi zdravljenja RNI; od zdravljenja, specifičnega za organ/tkivo, k zdravljenju, usmerjenemu na posameznega bolnika, ki temelji na genomskih spremembah njegovega tumorja. Prispevek povzema trenutne dokaze o uporabi vsakega od teh pristopov. Predstavljeno je tudi zdravljenje treh bolnikov z neugodnim RNI.
Keywords: rak neznanega izvora, molekularne značilnosti, biološki označevalci
Published in DiRROS: 26.07.2024; Views: 129; Downloads: 83
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4. Imunohistokemična analiza izražanja glukokortikoidnih receptorjev pri zgodnjem raku dojk in njihov vpliv na odgovor na zdravljenje z neoadjuvantno sistemsko terapijoMarjetka Sraka, Barbara Gazić, Primož Drev, Cvetka Grašič-Kuhar, 2024, original scientific article Abstract: Glukokortikoidni receptor (GR) je različno izražen na tumorskih in imunskih celicah raka dojk, njegova izraženost pa je morda odvisna od molekularnega podtipa raka dojk, prav tako njegova izraženost morda vpliva na odgovor na neoad-juvantno sistemsko terapijo. Naš namen je vpeljati zanesljivo imunohistokemično barvanje s protitelesi proti GR, drugi namen pa je oceniti izraženost GR na vzorcih raka dojk in preučiti, ali se ta izraža različno pri različnih podtipih in ali njegova izraženost vpliva na odgovor na neoadjuvantno sistemsko terapijo.
Keywords: rak dojk, neoadjuvantno sistemsko zdravljenje, glukokortikoidni receptor
Published in DiRROS: 26.07.2024; Views: 133; Downloads: 76
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5. Does concurrent gynaecological surgery affect infectious complications rate after mastectomy with implant-based reconstruction?Nina Pišlar, Barbara Perić, Uroš Ahčan, Romi Cencelj-Arnež, Janez Žgajnar, Andraž Perhavec, 2023, original scientific article Abstract: Background. Women who undergo breast cancer surgery often have an indication for gynaecological procedure. The aim of our study was to compare infectious complications rate after mastectomy with implant-based reconstruc-tion in patients with and without concurrent gynaecological procedure.Patients and methods. We retrospectively reviewed clinical records of 159 consecutively operated patients after mastectomy with implant-based reconstruction. The patients were divided in 2 groups: 102 patients without (Group 1) and 57 with (Group 2) concurrent gynaecological procedure. Infectious complications rates between the groups were compared using χ2-test. Logistic regression was performed to test for association of different variables with infec-tious complications.Results. There were240 breast reconstructions performed. Median follow-up time was 297 days (10–1061 days). Mean patient age was 47.2 years (95% CI 32.8–65.9); 48.2 years (95% CI 46.1–50.3) in Group 1 and 45.8 years (95% CI 43.2–48.3) in Group 2; p = 0.002). Infectious complications rate was 17.6% (17.6% vs. 17.5%, p = 0.987), implant loss occurred in 5.7% (4.9% vs. 7.0%, p = 0.58). Obesity (body mass index[BMI] > 30 kg/m2), age, previous breast conserv-ing treatment (BCT) with radiotherapy (RT) were identified as risk factors for infectious complications in univariate analysis. Obesity (adjusted odds ratio [aOR] 3.319, 95% CI 1.085–10.157, p = 0.036) and BCT with RT (aOR 7.481, 95% CI 2.230–25.101, p = 0.001) were independently associated with infectious complications in multivariate model.Conclusions. Concurrent gynaecological procedure for patients undergoing mastectomy with implant-based re-construction did not carry an increased risk for infectious complications.
Keywords: rak na dojki, infekcijski zapleti, rekonstrukcija z vsadki
Published in DiRROS: 25.07.2024; Views: 104; Downloads: 64
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6. 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: 83; Downloads: 51
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8. Poročilo o preskusu št.: LVG 2024-074 : vzorec št. 2024/00385Nikica Ogris, Špela Hočevar, Patricija Podkrajšek, Barbara Piškur, 2024, expertise, arbitration decision Keywords: varstvo gozdov, morfološke analize, Fusarium circinatum, Pinus, borov smolasti rak, PCR
Published in DiRROS: 23.07.2024; Views: 128; Downloads: 0
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9. Poročilo o preskusu št.: LVG 2024-067 : vzorec št. 2024/00318Nikica Ogris, Špela Hočevar, Zina Devetak, Barbara Piškur, 2024, expertise, arbitration decision Keywords: varstvo gozdov, morfološke analize, program preiskav, Fusarium circinatum, Pinus, borov smolasti rak, PCR
Published in DiRROS: 17.07.2024; Views: 110; Downloads: 0
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10. Poročilo o preskusu št.: LVG 2024-057 : vzorec št. 2024/00240Barbara Piškur, Špela Hočevar, Zina Devetak, 2024, expertise, arbitration decision Keywords: varstvo gozdov, morfološke analize, program preiskav, Fusarium circinatum, Pinus, borov smolasti rak, PCR
Published in DiRROS: 24.06.2024; Views: 153; Downloads: 0
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