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Projects / Programmes source: ARIS

Slikovna citomerija pri detekciji, prognozi in zdravljenju malignih tumorjev (Slovene)

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Research activity

Code Science Field Subfield
3.04.00  Medical sciences  Oncology   

Code Science Field
B007  Biomedical sciences  Medicine (human and vertebrates) 
B200  Biomedical sciences  Cytology, oncology, cancerology 
Keywords
nuclear texture features, chromatine structure, cancer detection, prognosis of malinant desease, effect of chemoterapy
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (12)
no. Code Name and surname Research area Role Period No. of publications
1.  00705  PhD Marija Auersperg  Oncology  Researcher  1996 - 2001  203 
2.  08616  PhD Matej Bračko  Oncology  Researcher  2000 - 2001  197 
3.  12179  PhD Tanja Čufer  Oncology  Researcher  2000 - 2001  774 
4.  15710  PhD Matjaž Fležar  Cardiovascular system  Researcher  1998 - 2001  553 
5.  15781  Izidor Kern  Oncology  Researcher  2000 - 2001  585 
6.  15076  PhD Veronika Kloboves-Prevodnik  Oncology  Head  2000 - 2001  285 
7.  04376  PhD Janez Lamovec  Oncology  Researcher  2000 - 2001  239 
8.  15819  PhD Jaka Lavrenčak  Oncology  Researcher  1996 - 2001  74 
9.  04401  PhD Ana Pogačnik  Oncology  Researcher  2000 - 2001  168 
10.  12199  PhD Živa Pohar Marinšek  Oncology  Researcher  1999 - 2001  143 
11.  05342  MSc Ljudmila Ruparčič-Oblak  Oncology  Researcher  1996 - 2001  7 
12.  14669  PhD Margareta Strojan Fležar  Oncology  Researcher  1996 - 2001  263 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0302  Institute of Oncology Ljubljana  Ljubljana  5055733000  15,472 
2.  1613  University Clinic of Respiratory and Allergic Diseases  Golnik  1190997  7,125 
Abstract
During malignant transformation quantitative and qualitative changes particulary of nuclei and nuclear chromatin occur. These changes are used in conventional microscopic evaluation of the tumors. However, all important biologic characteristics of the tumor cannot be identified. Quantitative image cytometry provides information on over 100 characteristics of cell nucleus. Resarches assume that malignant potential of premalignant lesions and malignant tumors can be estimated by quantitative analysis of nuclear texture features. In our research project we are planning to test if nuclear texture features can be used 1.to detect preinvasive lesions, 2.to evaluate malignant potential of preinvasive and invasive forms of cancer and to 3. evaluate the effect of chemoterapy. We expect to find discriminating features analysing nuclear features and clinicopathologic variables with uni and multivariate analysis. New discriminating features would increase the rate of early cancer detection and would enable more rational treatment.
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