1. INTRODUCTION
Lung cancer is the most common malignancy in the world and accounts for 1.09 million new cases with 972 000 deaths per year. In Lithuania too, lung cancer is the most commonly diagnosed cancer in men with nearly 1500 new cases each year. Lung cancer is five times more common in men than in women. At present, most patients who receive an initial diagnosis of lung cancer have advanced stage disease (stage IV – 30.2%), making cure with currently available therapies unlikely.
The main prognostic information with regard to survival is associated with the biological characteristics of the primary tumour (histological subtype, aggressiveness, differentiation, etc.), the extent of spread to regional or distant lymph nodes or to the other structures, and the operability of the patient (age, function of residual lung, co-morbidity).
Because the outcome is associated with the histological subtype and stage of the lung cancer at the diagnosis, there has been persistent interest in designing and testing various radiological methods for early detection of lung cancer. Chest radiography, computed tomography (CT), magnetic resonance imaging (MRI) can not only identify specific features in lung nodules, but add important information about the localisation, size and extent of the primary tumour (T), detect invasion of major mediastinal structures and chest wall, and locoregional (N) and distal spread of the tumour. Although theoretically features such as nodal shape... [to full text]
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20060120_124135-72418 |
| Date | 20 January 2006 |
| Creators | Mikalauskas, Vytenis |
| Contributors | Barauskas, Vidmantas, Kurtinaitis, Juozas, Saudargienė, Aušra, Griciutė, Liudvika Laima, Stropus, Rimvydas Stasys, Kiudelis, Mindaugas, Kinduris, Šarūnas, Kaunas University of Medicine |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Medicine |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Doctoral thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20060120_124135-72418 |
| Rights | Unrestricted |
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