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.
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
Can Short-Term Measures Provide Some Relief with the Radiologist Shortage?
April 4th 2024In an attempt to navigate the imbalance between rising imaging volume and a shortage of radiologists, researchers proposed a variety of measures that may provide additional resources, bolster productivity, and help mitigate burnout.
Five-Year Study Shows Significant Overuse of CT Angiography in the ER
April 2nd 2024Researchers noted a 67.4 percent increase in head and neck CT angiography and a 38 percent reduction in findings of acute pathology in a recent comparison of 2017 and 2021 statistics for headache and/or dizziness presentations at the emergency department of an urban academic medical center.