Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
Smoking can make changes to the airways early and in ways that are likely to go unnoticed. Quantitative CT (QCT) has become the gold standard for imaging these alterations in patients with chronic obstructive pulmonary disease (COPD) because it is non-invasive, but there has been little research into whether it can pinpoint changes in smokers who appear to have a normal CT. Look for an article later this week that discusses how well QCT works with this subclinical population.
For more lung CT coverage, click here.
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Even as vaccine rates increase, there is still a need for rapid, accurate COVID-19 diagnosis. Chest X-ray, bolstered by artificial intelligence (AI), could be a near-perfect option – especially when chest CT is not readily available or swab and saliva test results are delayed. Keep your eyes open for an article later this week.
For more coverage of chest X-rays and COVID-19, click here.
Last week, Diagnostic Imaging published an article on the use of a triaging model to better prioritize mammography screenings during times of crisis, such as the COVID-19 pandemic. This week, be on the lookout for interview with study lead Diana L. Miglioretti, Ph.D., from the University of California at Davis about why such a system is important and the impacts it could have downstream.
For additional mammography and COVID-19 coverage, click here.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.