title: Pulmonary nodule detection, characterization, and management with multidetector computed tomography.
abstract: Pulmonary nodule detection and characterization continue to improve with technological advancements. The noninvasive methods available for assisting in nodule detection and for characterizing nodules as benign, malignant, or indeterminate will be discussed. Evidence-based guidelines will be reviewed to help guide the appropriate management of pulmonary nodules.
authors.affiliation: Department of Radiology, Division of Thoracic Imaging, New York University Langone Medical Center, New York, NY 10016, USA.
authors.forename: Scott
authors.initials: S
authors.lastname: Brandman
authors.forename: Jane P
authors.initials: JP
authors.lastname: Ko
mesh_terms: D003287:Contrast Media; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000628:therapy; D009367:Neoplasm Staging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D011877:Radionuclide Imaging; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging* / Q000473:pathology / Q000628:therapy; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media