Chest Radiology: Page 96

Deep-learning tool plumbs x-rays for patient gender, age
By Wayne Forrest
Monday, November 26 | 3:50 p.m.-4:00 p.m. | SSE06-06 | Room E353AIn this session, researchers will report early success in their development of deep convolutional neural networks to determine the gender and age of patients based on their chest x-rays.
November 6, 2018
Virtual antiscatter grid improves chest x-ray images
By Wayne Forrest
Monday, November 26 | 12:45 p.m.-1:15 p.m. | CH272-SD-MOB4 | Lakeside, CH Community, Station 4German researchers are touting the superior image quality and comparable, if not lower, radiation exposure using a virtual antiscatter grid for bedside chest radiography in the intensive care unit.
November 6, 2018
Digital tomo makes imaging easier for cystic fibrosis
By Wayne Forrest
Monday, November 26 | 11:10 a.m.-11:20 a.m. | RC213-12 | Room E353BCan a carbon nanotube x-ray source on a stationary digital chest tomosynthesis system help image pediatric patients with cystic fibrosis? A group of researchers developing the technology think so.
November 6, 2018
New algorithm better calculates patient radiation dose
By Wayne Forrest
Sunday, November 25 | 12:30 p.m.-1:00 p.m. | PH007-EB-SUA | Lakeside, PH Community, Hardcopy BackboardSunday highlights at RSNA 2018 will include the presentation of an algorithm designed to improve the calculation of patient radiation dose from chest radiographs. So far, the algorithm has proved more accurate than traditional methods.
November 6, 2018
3D depth camera fine-tunes patient positioning on CT
By Abraham Kim
Monday, November 26 | 10:50 a.m.-11:00 a.m. | SSC13-03 | Room N230BAutomated patient positioning for CT exams using a 3D camera may be more accurate than conventional positioning by radiologic technologists, according to researchers from Germany and Switzerland.
November 5, 2018
Groups release guide for new CT lung screening programs
By AuntMinnie.com staff writers
The American Thoracic Society and the American Lung Association have developed a guide and online toolkit to facilitate the implementation and management of CT lung cancer screening programs in the U.S.
November 1, 2018
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AI algorithm makes CT lung screening possible below 1 mSv
By Abraham Kim
Thursday, November 29 | 11:20 a.m.-11:30 a.m. | SSQ05-06 | Room E353BClinicians may be able to lower the radiation dose required for CT lung cancer screening considerably with the assistance of an artificial intelligence (AI) algorithm that can reduce image noise on CT scans, according to researchers from Israel.
October 31, 2018
Resolution reference level helps optimize CT radiation
By Abraham Kim
Monday, November 26 | 3:20 p.m.-3:30 p.m. | SSE22-03 | Room S504ABU.S. researchers have proposed a new metric for evaluating CT radiation exposure -- resolution reference level -- that may help optimize image quality and dose standards across different institutions.
October 31, 2018
Could MRI replace CT for lung cancer screening?
By Abraham Kim
Monday, November 26 | 11:50 a.m.-12:00 p.m. | SSC03-09 | Room E451AMRI could be a more cost-effective alternative to CT for lung cancer screening, say researchers from the U.S., Switzerland, and Germany who used a prediction model to compare the two exams.
October 31, 2018
CT lung screening program targets poor minorities
By Abraham Kim
Monday, November 26 | 11:30 a.m.-11:40 a.m. | SSC03-07 | Room E451AIn this session, California-based researchers will discuss the distinct cancer profile of socioeconomically disadvantaged minorities at high risk of lung cancer who participated in a free CT lung screening program.
October 31, 2018
Does mental illness affect access to CT lung screening?
By Abraham Kim
Monday, November 26 | 11:20 a.m.-11:30 a.m. | SSC03-06 | Room E451AIn this Monday presentation, researchers from Boston will discuss the relationship between mental illness and CT lung cancer screening eligibility.
October 31, 2018
CAD cuts reading time for CT lung cancer screening
By Abraham Kim
Monday, November 26 | 11:10 a.m.-11:20 a.m. | SSC03-05 | Room E451AComputer-aided detection (CAD) can help radiologists as they look for nodules on CT lung cancer screening exams -- in particular, by speeding up the process, according to this Monday presentation.
October 31, 2018
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