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Thoracic Imaging: Page 35
Why errors in radiology are no easy matter
By
Philip Ward
Radiologists who make errors are not always negligent, sloppy, or careless, but a greater emphasis on training and competency as well as improvements in systems used for reporting and communication of images can reduce the number of discrepancies and clinical incidents, U.K. researchers have found.
February 14, 2018
French find no need for CT to rule out PE
By
Abraham Kim
French researchers found that a set of clinical criteria was just as accurate as a protocol that included CT pulmonary angiography for ruling out pulmonary embolism (PE) in the emergency department, according to an article published in the February 13 issue of the
Journal of the American Medical Association
.
February 13, 2018
Agfa collaborates on AI x-ray algorithm
By
AuntMinnieEurope.com staff writers
Agfa HealthCare will collaborate with the Dubai Health Authority to validate a chest x-ray artificial intelligence (AI) algorithm designed to enhance image analysis, automate reports, and improve clinical efficiency.
January 30, 2018
How often are lung nodules missed on CAC scoring scans?
By
Abraham Kim
If an incidental lung nodule is present on a CT coronary artery calcium (CAC) scoring scan, how often is that nodule actually detected and worked up? Not as often as one might expect, according to researchers who analyzed the reasons why nodules might be missed in a presentation at RSNA 2017.
January 1, 2018
AI assesses cardiovascular risk on routine chest CT
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can automatically quantify coronary and other arterial calcification from routine chest CT studies, enabling cardiovascular risk assessment to be performed on these patients, Dutch researchers reported at the RSNA 2017 meeting.
December 11, 2017
Lancet: Europe must get set for lung cancer screening
By
Rebekah Moan
Experts from around Europe are urging the European Union (EU) to implement lung cancer screening using low-dose CT within the next 18 months. The EU position statement, published in the December issue of
Lancet Oncology
, recommends a risk stratification approach, among other guidelines.
December 10, 2017
Backlog of 23K unread chest x-rays draws review of Portsmouth
By
Brian Casey
A backlog of 23,000 unread chest x-ray images at a U.K. National Health Service (NHS) hospital in Portsmouth has drawn the attention of the Care Quality Commission, which has ordered the facility to take immediate action to ensure the images are read promptly. The episode has also prompted the commission to review radiology reporting across the NHS network in England.
November 30, 2017
Deep learning can quantify CAC on low-dose CT
By
Erik L. Ridley
CHICAGO - A deep-learning algorithm can automatically calculate coronary artery calcium (CAC) scores from lung cancer screening CT exams and facilitate risk stratification in these patients, according to research presented on Tuesday at RSNA 2017.
November 28, 2017
Optellum, Mirada present lung cancer study at RSNA 2017
By
AuntMinnieEurope.com staff writers
Artificial intelligence (AI) software developer Optellum and imaging software developer Mirada Medical have partnered on deep learning and presented a lung cancer study resulting from their collaboration at RSNA 2017 in Chicago.
November 28, 2017
Nodule count on CT not linked to lung cancer risk
By
Abraham Kim
Does a higher number of lung nodules detected on baseline CT screens indicate an increased risk of cancer? Researchers with the Dutch-Belgian Randomized Lung Cancer Screening trial refute this notion in a study published in the November issue of
Lung Cancer
.
November 14, 2017
Ultralow-dose CT probes presurgical stroke risk
By
Frances Rylands-Monk
The danger of stroke as a cardiac postsurgery complication has flagged the need for greater understanding of patients' calcified atherosclerotic burden prior to surgery. But just how much dose is needed for CT results to be accurate, and how can radiologists optimize visualization?
November 7, 2017
Improve CT lung cancer screening with baseline screens
By
Rebekah Moan
CT lung cancer screening can be optimized by recognizing the significant differences in the frequency of noncalcified nodules and also the difference in the frequency and aggressiveness of diagnosed cancers from baseline to annual repeat screening rounds, according to lung cancer expert Dr. Claudia Henschke, PhD.
November 2, 2017
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