OBJECTIVE: To evaluate the impact of radiological expertise on screen result decisions in a CT lung cancer screening trial.METHODS: In the NELSON lung cancer screening trial, the baseline CT result was based on the largest lung nodule's volume. The protocol allowed radiologists to manually adjust screen results in cases of high suspicion of benign or malignant nodule nature. Participants whose baseline CT result was based on a solid or part-solid nodule were included in this study. Adjustments by radiologists at baseline were evaluated. Histology was the reference for diagnosis or to confirm benignity and stability on subsequent CT examinations.RESULTS: A total of 3,318 participants (2,796 male, median age 58.0 years) were included. In 195 ...
Contains fulltext : 232913.pdf (Publisher’s version ) (Open Access)OBJECTIVES: The...
Purpose: To study interreader variability for classifying pulmonary opacities at CT as perifissural ...
Purpose: To compare human observers to a mathematically derived computer model for differentiation b...
OBJECTIVE: To evaluate the impact of radiological expertise on screen result decisions in a CT lung ...
Aims: The aims are to measure radiologists’ performance in lung cancer detection using chest CT; com...
PURPOSE: To estimate the performance of digital chest radiography for detection of lung cancer. MATE...
BACKGROUND: The use of multidetector computed tomography (CT) in lung-cancer screening trials involv...
Purpose: To estimate the performance of digital chest radiography for detection of lung cancer. Mate...
Objectives: Lung-RADS represents a categorical system published by the American College of Radiology...
Purpose: To assess how computer-aided detection (CAD) affects reader performance in detecting early ...
Contains fulltext : 238604.pdf (Publisher’s version ) (Closed access)Purpose To co...
PURPOSE: To assess how computer-aided detection (CAD) affects reader performance in detecting early ...
OBJECTIVE: To evaluate performance of AI as a standalone reader in ultra-low-dose CT lung cancer bas...
textabstractPurpose: To estimate the performance of digital chest radiography for detection of lung ...
Lung cancer is the leading cancer-related cause of death. Through computed tomography (CT) screening...
Contains fulltext : 232913.pdf (Publisher’s version ) (Open Access)OBJECTIVES: The...
Purpose: To study interreader variability for classifying pulmonary opacities at CT as perifissural ...
Purpose: To compare human observers to a mathematically derived computer model for differentiation b...
OBJECTIVE: To evaluate the impact of radiological expertise on screen result decisions in a CT lung ...
Aims: The aims are to measure radiologists’ performance in lung cancer detection using chest CT; com...
PURPOSE: To estimate the performance of digital chest radiography for detection of lung cancer. MATE...
BACKGROUND: The use of multidetector computed tomography (CT) in lung-cancer screening trials involv...
Purpose: To estimate the performance of digital chest radiography for detection of lung cancer. Mate...
Objectives: Lung-RADS represents a categorical system published by the American College of Radiology...
Purpose: To assess how computer-aided detection (CAD) affects reader performance in detecting early ...
Contains fulltext : 238604.pdf (Publisher’s version ) (Closed access)Purpose To co...
PURPOSE: To assess how computer-aided detection (CAD) affects reader performance in detecting early ...
OBJECTIVE: To evaluate performance of AI as a standalone reader in ultra-low-dose CT lung cancer bas...
textabstractPurpose: To estimate the performance of digital chest radiography for detection of lung ...
Lung cancer is the leading cancer-related cause of death. Through computed tomography (CT) screening...
Contains fulltext : 232913.pdf (Publisher’s version ) (Open Access)OBJECTIVES: The...
Purpose: To study interreader variability for classifying pulmonary opacities at CT as perifissural ...
Purpose: To compare human observers to a mathematically derived computer model for differentiation b...