Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) StudyXia, C., Rook, M., Pelgrim, G. J., Sidorenkov, G., Wisselink, H. J., van Bolhuis, J. N., van Ooijen, P. M. A., Guo, J., Oudkerk, M., Groen, H., van den Berge, M., van der Harst, P., Dijkstra, H., Vonder, M., Heuvelmans, M. A., Dorrius, M. D., De Deyn, P. P., de Bock, G. H., Dotinga, A. & Vliegenthart, R., 23-Apr-2019, In : European Journal of Epidemiology. 12 p.
Research output: Contribution to journal › Article › Academic › peer-review
Lung cancer, chronic obstructive pulmonary disease (COPD), and coronary artery disease (CAD) are expected to cause most deaths by 2050. State-of-the-art computed tomography (CT) allows early detection of lung cancer and simultaneous evaluation of imaging biomarkers for the early stages of COPD, based on pulmonary density and bronchial wall thickness, and of CAD, based on the coronary artery calcium score (CACS), at low radiation dose. To determine cut-off values for positive tests for elevated risk and presence of disease is one of the major tasks before considering implementation of CT screening in a general population. The ImaLife (Imaging in Lifelines) study, embedded in the Lifelines study, is designed to establish the reference values of the imaging biomarkers for the big three diseases in a well-defined general population aged 45 years and older. In total, 12,000 participants will undergo CACS and chest acquisitions with latest CT technology. The estimated percentage of individuals with lung nodules needing further workup is around 1-2%. Given the around 10% prevalence of COPD and CAD in the general population, the expected number of COPD and CAD is around 1000 each. So far, nearly 4000 participants have been included. The ImaLife study will allow differentiation between normal aging of the pulmonary and cardiovascular system and early stages of the big three diseases based on low-dose CT imaging. This information can be finally integrated into personalized precision health strategies in the general population.
|Number of pages||12|
|Journal||European Journal of Epidemiology|
|Publication status||E-pub ahead of print - 23-Apr-2019|