Thoracic Imaging: Page 100

Chest doctors issue guidelines for CT lung cancer screening
By Abraham Kim
An expert panel of chest physicians has updated its guidelines for low-dose CT lung cancer screening based on a review of results from various trials. The group presented its proposal at the American College of Chest Physicians annual meeting last month in Toronto.
November 9, 2017
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FDG-PET/CT could improve treatment for NSCLC patients
By AuntMinnie.com staff writers
Using FDG-PET/CT, researchers in Italy have found a correlation between cell-free tumor DNA circulating in the bloodstream and the aggressiveness of tumors in patients with advanced non-small cell lung cancer (NSCLC), according to a study published in the November issue of the Journal of Nuclear Medicine.
November 8, 2017
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New solid nodules may increase lung cancer risk
By Abraham Kim
Lung nodules found on follow-up CT lung screening rounds could be more dangerous than those found on baseline exams, according to a new analysis of data from the National Lung Screening Trial. The findings are published in the November issue of the American Journal of Roentgenology.
November 6, 2017
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3D CADv predicts recurrence of pulmonary nodules on CT
By Abraham Kim
Thursday, November 30 | 11:40 a.m.-11:50 a.m. | SSQ18-08 | Room S403BResearchers from Japan have demonstrated that 3D computer-aided detection and volumetry (CADv) software applied to CT scans can predict the resurgence of malignant lung nodules.
November 5, 2017
CAD enables lower radiation dose in CT lung screening
By Abraham Kim
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | SSG13-06 | Room S404ABIn this talk, researchers will describe how computer-aided detection (CAD) can lead to marked reductions in radiation dose on low-dose CT lung cancer screening scans, even when image slice thickness is altered.
November 5, 2017
Algorithm detects, segments lung nodules on CT
By Erik L. Ridley
Tuesday, November 28 | 10:40 a.m.-10:50 a.m. | SSG13-02 | Room S404ABIn this scientific session, a team from imaging software developer Arterys will present its deep learning-based approach to detecting and segmenting lung nodules on CT scans.
November 5, 2017
Deep learning helps find lung nodules on chest x-ray
By Erik L. Ridley
Monday, November 27 | 11:00 a.m.-11:10 a.m. | SSC03-04 | Room S504CDA U.K. team has found that deep learning-powered computer-aided detection software could potentially act as a second reader for chest radiographs.
November 5, 2017
AI detects large pneumothoraces on chest x-ray
By Erik L. Ridley
Sunday, November 26 | 12:05 p.m.-12:15 p.m. | SSA12-09 | Room S403AArtificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray -- potentially speeding up detection and reporting of these critical findings, according to researchers from Philadelphia.
November 5, 2017
Chest x-ray algorithm shows why it made its diagnosis
By Erik L. Ridley
Sunday, November 26 | 11:35 a.m.-11:45 a.m. | SSA12-06 | Room S403AA team from India will present a deep-learning algorithm that highlights the areas of the chest x-ray that led to the algorithm's diagnosis.
November 5, 2017
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Deep learning can assess malignancy risk of lung nodules
By Erik L. Ridley
Sunday, November 26 | 10:55 a.m.-11:05 a.m. | SSA12-02 | Room S403AIn this scientific session, researchers will describe how a deep-learning algorithm can provide an objective measure for assessing the malignancy risk of a lung nodule.
November 5, 2017
AI can predict invasiveness of lung adenocarcinoma
By Erik L. Ridley
Sunday, November 26 | 10:45 a.m.-10:55 a.m. | SSA05-01 | Room S404CDA Japanese group has found that an artificial intelligence (AI) algorithm can predict the level of pathological invasiveness of lung adenocarcinoma nearly as accurately as a highly experienced radiologist.
November 5, 2017
More lung cancer facilities may not mean more screening
By Abraham Kim
Thursday, November 30 | 11:50 a.m.-12:00 p.m. | SSQ05-09 | Room S402ABThe availability of screening facilities does not necessarily affect lung cancer outcomes, according to this preliminary analysis of the American College of Radiology Lung Cancer Screening Registry.
November 1, 2017
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