Diagnostic Imaging's A Look Ahead: April 5, 2021, to April 9, 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:
Much has been reported recently about the low utilization rate of low-dose CT lung cancer screening. In a new study published in the Journal of the American College of Radiology, investigators explored the factors behind low adherence to annual screening, as well as what might influence patients to follow the screening schedule. Look for a detailed story later this week.
For more lung cancer screening coverage, click here.
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Chest CT is routinely used to provide a great deal of information about the heart or to screen for lung cancer, but it can offer up valuable data about other conditions, as well. In an article on a study that will be released later this week, we will outline how the scan can be used to shed light on risks faced by patients with other lung-related conditions. Keep your eye out for the story.
For more coverage chest CT, click here.
Digital breast tomosynthesis is now widely used and is known for its better detection rate and efficacy in women with dense breast tissue. But, it turns out the scan offers additional benefits in detecting some of the most aggressive forms of breast cancer. Watch out for an article later this week that will discuss the details of a new study released this week.
For additional digital breast tomosynthesis 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.
Emerging AI Mammography Model May Enhance Clarity for Initial BI-RADS 3 and 4 Classifications
May 21st 2025In a study involving over 12,000 Asian women, researchers found that an artificial intelligence (AI) model converted over 83 percent of false positives in patients with initial BI-RADS 3 and 4 assessments into benign BI-RADS categories.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
