Chest Radiology: Page 107

'Virtual dual energy' separates bone from soft tissue on chest x-rays
By Brian Casey
Monday, November 27 | 12:15 p.m.-12:45 p.m. | PH217-SD-MOA6 | Lakeside, PH Community, Station 6Illinois Institute of Technology researchers will present their work on a virtual dual-energy tool that enables studies to be produced from conventional digital x-ray exams without requiring double exposures.
November 12, 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 12, 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 this presentation.
November 12, 2017
Deep learning can identify malpositioned feeding tubes
By Erik L. Ridley
Sunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA12-07 | Room S403AIn this talk, researchers will highlight the potential of deep learning for speeding up the detection of malpositioned feeding tubes in critically ill patients.
November 12, 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 12, 2017
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
2016 08 02 15 17 42 85 Lungs Red Body 400
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
2017 11 09 00 50 6199 Jnm Nsclc Morbelli Image 20171109005420
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
2016 12 21 15 11 05 414 Lung Cancer 400
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
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