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Query: "author" (Mario %C5%BDganec) .

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1.
Image cytometric nuclear texture features in inoperable head and neck cancer : a pilot study
Margareta Strojan Fležar, Jaka Lavrenčak, Mario Žganec, Primož Strojan, 2011, original scientific article

Abstract: Background. Image cytometry can measure numerous nuclear features which could be considered a surrogate end-point marker of molecular genetic changes in a nucleus. The aim of the study was to analyze image cytometric nuclear featuresin paired samples of primary tumor and neck metastasis in patients with inoperable carcinoma of the head and neck. Materials and methods. Image cytometric analysis of cell suspensions prepared from primary tumor tissue andfine needle aspiration biopsy cell samples of neck metastases from 21 patients treated with concomitant radiochemotherapy was performed. Nuclear features were correlated with clinical characteristics and response to therapy. Results. Manifestation of distant metastases and new primaries was associated (p<0.05) with several chromatin characteristics from primary tumor cells, whereas the origin of index cancer and disease response in the neck wasrelated to those in the cells from metastases. Many nuclear features of primary tumors and metastases correlated with the TNM stage. Conclusions. A specific pattern of correlation between well-established prognostic indicatorsand nuclear features of samples from primary tumors and those from neck metastases was observed. Image cytometric nuclear features represent a promising candidate marker for recognition of biologically different tumor subgroups.
Published in DiRROS: 19.03.2024; Views: 88; Downloads: 25
.pdf Full text (427,02 KB)

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Image cytometry analysis of normal buccal mucosa smears: influence of smoking and sex-related differences
Jaka Lavrenčak, Margareta Strojan Fležar, Mario Žganec, Marija Us-Krašovec, 1998, original scientific article

Abstract: To get more information about the influence of smoking on chromatin pattern ofnormal buccal mucosa cells and to assess sex-related differences in nuclear features, quantitative analysis of normal buccal mucosa smears was performed. In this study, buccal smears were collected from 78 healthy subjects. Image cytometry analysis was performed on Feulgen-thionin stained smears. probability distributions of 78 nuclear features were calculated for both, cell-by-cell and slide-by-slide classifications. Seven nuclear features showeddiscriminative ability between smokers and non-smokers; most of them were nuclear texture features. Statistical analysis of nuclear features in groups of females and males hoswed that only two nuclear features were different. It is concluded that smoking should be considered in image cytometry analysis of lesions in oral cavity.
Published in DiRROS: 19.01.2024; Views: 131; Downloads: 39
.pdf Full text (1,23 MB)

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Longitudinal study of malignancy associated changes in progressive cervical dysplasia
Margareta Strojan Fležar, Jaka Lavrenčak, Mario Žganec, Marija Us-Krašovec, 1998, original scientific article

Abstract: Eight of 29 patients with progressive CIN were followed for 2 to 10 years. Their consecutive Pap smears were destained and stained according to Feulgen thionin method. Cyto-Savant/TM high resolution image cytometer (Oncometrics Technol. Corp., Vancouver, Canaderage values of muclear texture features and their probability distributions for consecutive Pap smears from each patient were calculated. Three out of 5 discriminant MAC, highDNAamount, highDNAcomp and highDNAarea, were to increase as a function of time in 5 out of 8 patients. A preliminary analysis which was performed on non-standardized archival material demonstrated a monotonous increase of discrete texture features as a function of time in patients with progressive CIN.
Published in DiRROS: 19.01.2024; Views: 145; Downloads: 35
.pdf Full text (1,39 MB)

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Epiluminiscenčna mikroskopija v diagnostiki nejasnih melanocitnih kožnih spreemb: primerjava dermatoskopskih ABCD pravil z novo sedem točkovno listo preverjanja, ki temelji na analizi vzorcev
Giusseppe Argenziano, Gabriela Fabbrocini, Paolo Carli, Vincenzo De Giorgi, Elena Sammarco, Mario Delfino, 1999, original scientific article

Abstract: Cilji. Primerjava zanesljivosti nove sedem točkovne liste preverjanja, ki temelji na poenostavljeni epiluminiscenčno mikroskopski (ELM) vzorčni analizi,z ABCD pravili dermatoskopije in standardno analizo vzorcev, v diagnostiki klinično nejasnih melanocitnih kožnih sprememb. Način: V slepi študiji je bilo, po sedmih standardnih kriterijih, ki smo jih poimenovali "ELMsedemtočkovna lista preverjanja", ocenjenih 342 ELM slik histološko dokazanih melanocitnih kožnih sprememb. Vsaka posamezna kožna sprememba je bila diagnostično opredeljena po celokupnem kot tudi ABCD principu točkovanja.Iz "training set-a" 57-ih melanomov in 139-ih atipičnih ne-melanomov smo izračunali razmerje obetov (odds ratios) za postavitev preprostega diagnostičnega modela, ki temelji na prepoznavanju major in minor kriterijev po sedem točkovni listi preverjanja. Za ovrednotenje modela smo uporabili testni set 60 melanomov in 86 atipičnih ne-melanomov. Ti so bili predstavljeni dvema izkušenima ELM opazovalcema, ki sta jih diagnosticirala poprincipu zadetkov ABCD in sedem točkovne liste preverjanja. Kraj: Unerzitetni medicinski centri. Pacienti: Vzorec oseb z ekscidiranimi melanocitnimi spremembami. Poglavitni izzidi meritev: Senzitivnost, specifičnost in natančnost modelov za diagnostiko melanoma. Rezultati: Iz vsehkombiniranih setov je metoda sedem točkovne liste preverjanja pokazala 95%senzitivnost in 75% specifičnost v primerjavi z 85% senzitivnostjo in 66% specifičnostjo metode ABCD pravil in 91% senzitivnostjo standardne metode analize vzorca (overall ELM diagnosis). V primerjavi z ABCD pravili, sedem točkovna lista preverjanja omogoča manj izkušeniih klinikom doseči višjo stopnjo diagnostične pravilnosti. Zaključek: ELM sedem točkovna lista preverjanja omogoča poenostavitev standardne analize vzorcev zaradi majhnega števila kriterijev, ki jih je potrebno identificirati ter primernega sistema zadetkov za postavljanje diagnoze. (Izvleček prekinjen pri 2000 znakih.)
Published in DiRROS: 27.11.2023; Views: 157; Downloads: 47
.pdf Full text (493,73 KB)

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Algorithm instance footprint : separating easily solvable and challenging problem instances
Ana Nikolikj, Sašo Džeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korošec, Tome Eftimov, 2023, published scientific conference contribution

Keywords: black-box optimization, algorithms, problem instances, machine learning
Published in DiRROS: 15.09.2023; Views: 278; Downloads: 183
.pdf Full text (2,03 MB)
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Crustacean waste biorefinery as a sustainable cost-effective business model
Filipa A. Vicente, Sónia P. M. Ventura, Helena Passos, Ana C. R. V. Dias, Mario A. Torres Acosta, Uroš Novak, Blaž Likozar, 2022, original scientific article

Published in DiRROS: 09.05.2022; Views: 599; Downloads: 469
.pdf Full text (6,07 MB)
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