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 on Diagnostic Imaging:
November is Lung Cancer Awareness month, and the past few weeks have provided new details about utilization rates of low-dose CT screening, as well as how effective the scan is in reducing the number of lung cancer-related deaths. This week, Diagnostic Imaging spoke with Debra S. Dyer, M.D., chair of the American College of Radiology’s Lung Cancer Screening 2.0 Committee, about the challenges that exist to increasing utilization with high-risk populations and what radiologists can do to help bring more patients in for screening.
For additional video interviews on lung cancer screening, click here.
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As the United States anticipates the Thanksgiving holiday this week, the rates of COVID-19 infection continue to rise – with the potential for even greater spikes during the holiday season. Consequently, efforts are still ongoing to improve diagnostic techniques. This week, look for new coverage on the role that artificial intelligence can play in improving detection of the virus.
For more artificial intelligence news, click here.
Healthcare disparities continue to be problems that plague several groups, particularly racial and ethnic minorities. With every new published study, radiologists learn more about how to address these issues. Within the next few days, keep an eye out from the latest findings about racial and ethnic minorities and stroke.
For additional stroke coverage, click here.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.