Diagnostic Imaging's A Look Ahead: March 29, 2021, to April 2, 2021
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.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
Can Contrast-Enhanced Mammography be a Viable Screening Alternative to Breast MRI?
June 17th 2025While the addition of contrast-enhanced mammography (CEM) to digital breast tomosynthesis (DBT) led to over a 13 percent increase in false positive cases, researchers also noted over double the cancer yield per 1,000 women in comparison to DBT alone.
