title: Advances and perspectives in lung cancer imaging using multidetector row computed tomography.
abstract: The introduction of multidetector row computed tomography (CT) into clinical practice has revolutionized many aspects of the clinical work-up. Lung cancer imaging has benefited from various breakthroughs in computing technology, with advances in the field of lung cancer detection, tissue characterization, lung cancer staging and response to therapy. Our paper discusses the problems of radiation, image visualization and CT examination comparison. It also reviews the most significant advances in lung cancer imaging and highlights the emerging clinical applications that use state of the art CT technology in the field of lung cancer diagnosis and follow-up.
authors.affiliation: Department of Medical Imaging, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Avenue Hippocrate, 10, 1200 Brussels, Belgium. emmanuel.coche@uclouvain.be
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Coche
mesh_terms: D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D061330:Multidetector Computed Tomography / Q000379:methods*; D009367:Neoplasm Staging / Q000379:methods