1. Image cytometric nuclear texture features in inoperable head and neck cancer : a pilot studyMargareta Strojan Fležar, Jaka Lavrenčak, Mario Žganec, Primož Strojan, 2011, izvirni znanstveni članek Povzetek: 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. Objavljeno v DiRROS: 19.03.2024; Ogledov: 273; Prenosov: 80
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2. Image cytometry analysis of normal buccal mucosa smears: influence of smoking and sex-related differencesJaka Lavrenčak, Margareta Strojan Fležar, Mario Žganec, Marija Us-Krašovec, 1998, izvirni znanstveni članek Povzetek: 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. Objavljeno v DiRROS: 19.01.2024; Ogledov: 317; Prenosov: 109
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3. Longitudinal study of malignancy associated changes in progressive cervical dysplasiaMargareta Strojan Fležar, Jaka Lavrenčak, Mario Žganec, Marija Us-Krašovec, 1998, izvirni znanstveni članek Povzetek: 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. Objavljeno v DiRROS: 19.01.2024; Ogledov: 340; Prenosov: 99
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4. Podobne MAC spremembe na bukalni sluznici bolnic z rakom dojke in bolnikov s pljučnim rakomMarija Us-Krašovec, Margareta Strojan Fležar, Janez Eržen, Mario Žganec, Jaka Lavrenčak, A Doudkine, D Garner, Branko Palčič, 2004, objavljeni povzetek strokovnega prispevka na konferenci Objavljeno v DiRROS: 16.09.2019; Ogledov: 2071; Prenosov: 582
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