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.
Leading Breast Radiologists Discuss the USPSTF Breast Cancer Screening Recommendations
May 17th 2024In recognition of National Women’s Health Week, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
What a New Meta-Analysis Reveals About Fractional Flow Reserve Assessment with Computed Tomography
May 13th 2024While acknowledging variable accuracy overall with CT-derived fractional flow reserve (FFR-CT) values, researchers found that the accuracy rate increased to 90 percent for FFR-CT values greater > 0.90 and < 0.49.
Current Insights and Emerging Roles for Contrast-Enhanced Mammography
May 10th 2024In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.