Browsing by Author "Nilsson, Matilda"

Lung cancer is the deadliest cancer in the world. Only 15-20% of patients that have been diagnosed is still alive after five years. Even though mortality in other types of cancer have become better in Finland the mortality in lung cancer has only become slightly better. A reason behind the bad prognosis is that lung cancer symptoms can be very non-specific and sometimes be completely absent. This leads to a diagnose in a late stage where the cancer has already created metastases. Lung cancer screening in a group of high-risk individuals with computer tomography has been proven to better the prognosis and lessen the mortality. To determine this group of individuals suitable for screening a number of risk-prediction models have been proposed. In recent years. The aim of this systematic review is to find externally validated models that predict the risk of lung cancer and could be used in a clinical setting in a primary healthcare level in Finland. The model should be able to identify a high-risk group of individuals for screening of lung cancer with computed tomography. An ideal model would be able to aid diagnosis of lung cancer at an early stage in a cost-effective way.