Avtor/Urednik		Vrhnjak, Blaž; Zadravec, Nina
Naslov		Korelacija med rezultatom klasične citologije in kvantitativne citologije induciranega izpljunka pri bolnikih s pljučnim rakom v vseh štirih stadijih bolezni
Tip		monografija
Kraj izdaje		Ljubljana
Založnik		Univerza v Ljubljani, Medicinska fakulteta
Leto izdaje		2003
Obseg		str. 42
Jezik		slo
Abstrakt		BACKGROUND. Lung cancer is the most common of all cancers in the world, Europe and Slovenia. Its incidence is increasing and in 1998 it was 19% for Slovenia. Mortality remains high, with 5-year survival 10-15% overall, but possibly up to 80% in stage I. Clearly, a chance for improvement lies in successful early detection and screening programs. Screening with periodic chest radiography has not been successful, mainly due its low specificity, nor has been screening with sputum cytology, due to its low sensitivity. Quantitative cytology is a method, which relies on measuring multiple features of nuclei (as many as 147) in the cells of the sample, which taken together as a numerical value point to the probability of the presence of cancer in the patient. AIM. The aim of our study was to evaluate this new method as screening test in early sputum lung cancer detection (AQC, Automated Quantitative Cytometry sputum test). We also wanted to determine the differences between classical sputum cytology and AQC in all stages, particularly in the early stages of the disease, when clinical symptoms are absent. HYPOTHESIS. AQC is more efficient as screening test in early lung cancer detection compared to classical cytology. METHODS. In this study, sputum samples were collected from 380 patients of which 170 had previously histopatologically diagnosed lung cancer. Approximately half of the lung cancers were of an early stage (stage 0 or stage I) and 210 subjects present matching (highrisk) population with no known malignancy. AQC has been used, basing on a fully automated high resolution image cytometer (CytoSavant) for early lung cancer detection. The AQC involves measurement of several thousand cell nuclei per sputum sample. Selected nuclear tenure features are then used to estimate the probability of lung cancer presence. (Abstract truncated at 2000 characters)
Deskriptorji		LUNG NEOPLASMS BRONCHOALVEOLAR LAVAGE FLUID SPUTUM NEOPLASM STAGING CELL NUCLEUS IMAGE CYTOMETRY