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Projects / Programmes source: ARIS

Quantitative image analysis of non-small cell lung cancer: estimation of biological potential and treatment planning based on DNA ploidy and nuclear texture features

Research activity

Code Science Field Subfield
3.04.00  Medical sciences  Oncology   

Code Science Field
B200  Biomedical sciences  Cytology, oncology, cancerology 
B520  Biomedical sciences  General pathology, pathological anatomy 
Keywords
non-small cel lung cancer, image cytometry, DNA ploidy, nuclear texture features, prognosis
Evaluation (rules)
source: COBISS
Researchers (10)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  08827  MSc Marko Bitenc  Oncology  Researcher  2002 - 2004 
2.  02005  PhD Janez Eržen  Oncology  Researcher  2002 - 2004 
3.  20050  PhD Barbara Gazič  Oncology  Researcher  2002 - 2004 
4.  21756  PhD Ulrika Klopčič  Oncology  Researcher  2002 - 2004 
5.  04376  PhD Janez Lamovec  Oncology  Researcher  2002 - 2004 
6.  15819  PhD Jaka Lavrenčak  Oncology  Researcher  2002 - 2004 
7.  04401  PhD Ana Pogačnik  Oncology  Researcher  2002 - 2004 
8.  12199  PhD Živa Pohar Marinšek  Oncology  Researcher  2002 - 2004 
9.  14576  PhD Primož Strojan  Oncology  Researcher  2002 - 2004 
10.  14669  PhD Margareta Strojan Fležar  Oncology  Head  2002 - 2004 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0302  Institute of Oncology Ljubljana  Ljubljana  5055733000 
2.  0312  University Medical Centre Ljubljana  Ljubljana  5057272000  125 
Abstract
Lung cancer is the most common cancer in men and causes most of cancer related deaths,. In women, lung cancer is the second most common cause of death from cancer. In spite of aggresive treatment, the long-term survival of lung cancer patients is less than 10%. At present, there are no efficient and reliable screening tests for the detection of early lung cancer. The possibilities to decrease mortality from lung cancer are limited to a more effective treatment, adapted to the individual patient. Additional objective prognostic factors are needed for a better treatment planning. Image cytometric DNA ploidy and nuclear texture features provide an objective analysis of cell nucleus and a more accurate biological potential of a tumor can be estimated. In the proposed study, we are planning to analyze if DNA ploidy and nuclear texture features could be used for 1. objective evaluation of stage of the disease and tumor differentiation, 2. identification of patients in Stage I and II, who would need adjuvant chemotherapy after racdical resection of tumor to be cured, 3. to identify patients in Stage IIIA with resectable lung cancer with better prognosis, who would benefit from post-operative chemotherapy. We expect that image cytometric analysis, including DNA ploidy and nuclear texture features, of non-small cell lung cancers will provide new information about biological potential of tumors, which would enable more rational treatment planning and consequently better survival.
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