Introduction: Lung nodules are frequently identified on imaging studies and can represent early lung cancers. We instituted the Lung Nodule Evaluation Team (LNET) to optimize management of these nodules by a lung specialist physician. All lung nodules identified by a radiologist prompted a direct consultation to this service. We report our initial experience with this process. Methods: This is a retrospective review of patients with lung nodules at a single institution from 2008 to 2015. Since October 2014, lung nodules >3 mm identified on computed tomography (CT) scanning of the chest generate an automatic consult to LNET from the radiology service. Demographic, nodule and follow up data was entered into a surveillance database and summar...
Background: Pulmonary nodules are spherical radiographic opacities that measure up to 30 mm in diame...
PURPOSE: Lung cancer screening saves lives, but implementation is challenging. We evaluated two appr...
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, class...
BACKGROUND: Pulmonary nodules (PNs) are a common reason for referral to pulmonologists. Th e majori...
BACKGROUND: Pulmonary nodules (PNs) are a common reason for referral to pul...
AbstractLung nodules are commonly found on computed tomography (CT) and need a standardized approach...
BACKGROUNDPulmonary nodules (PNs) are a common reason for referral to pulmonologists. The majority o...
BACKGROUND: The use of multidetector computed tomography (CT) in lung-cancer screening trials involv...
Lung cancer is associated with high mortality. It can present as one or more pulmonary nodules ident...
Lung cancer is the deadliest type of cancer worldwide and late detection is the major factor for the...
ObjectiveWidespread application of computed tomographic scans has increased detection of asymptomati...
Pulmonary nodules are small focal opacities within the lung parenchyma. Whilst the majority represen...
BACKGROUND The use of multidetector computed tomography (CT) in lung-cancer screening trials involvi...
Radiological evaluation of incidentally detected lung nodules on computed tomography (CT) influences...
BACKGROUND The use of multidetector computed tomography (CT) in lung-cancer screening trials involvi...
Background: Pulmonary nodules are spherical radiographic opacities that measure up to 30 mm in diame...
PURPOSE: Lung cancer screening saves lives, but implementation is challenging. We evaluated two appr...
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, class...
BACKGROUND: Pulmonary nodules (PNs) are a common reason for referral to pulmonologists. Th e majori...
BACKGROUND: Pulmonary nodules (PNs) are a common reason for referral to pul...
AbstractLung nodules are commonly found on computed tomography (CT) and need a standardized approach...
BACKGROUNDPulmonary nodules (PNs) are a common reason for referral to pulmonologists. The majority o...
BACKGROUND: The use of multidetector computed tomography (CT) in lung-cancer screening trials involv...
Lung cancer is associated with high mortality. It can present as one or more pulmonary nodules ident...
Lung cancer is the deadliest type of cancer worldwide and late detection is the major factor for the...
ObjectiveWidespread application of computed tomographic scans has increased detection of asymptomati...
Pulmonary nodules are small focal opacities within the lung parenchyma. Whilst the majority represen...
BACKGROUND The use of multidetector computed tomography (CT) in lung-cancer screening trials involvi...
Radiological evaluation of incidentally detected lung nodules on computed tomography (CT) influences...
BACKGROUND The use of multidetector computed tomography (CT) in lung-cancer screening trials involvi...
Background: Pulmonary nodules are spherical radiographic opacities that measure up to 30 mm in diame...
PURPOSE: Lung cancer screening saves lives, but implementation is challenging. We evaluated two appr...
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, class...