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 research and many conversations have centered on the ability of tomosynthesis to increase the breast cancer detection rate. But, there has been no consensus about whether that improvement is enough to warrant any changes to screening guidelines. In a study published recently in the American Journal of Roentgenology, investigators sought to answer that question. Look for our coverage of it later this week.
For additional coverage about breast cancer screening, click here.
fMRI has long been considered the gold standard for brain imaging, but researchers and clinicians have still sought to improve upon it. Recently, investigators from the Keck School of Medicine at the University of Southern California succeeded in that endeavor. By using photoacoustics, they created functional photoacoustic computed tomography (fPACT). In the coming days, look for a more in-depth article on what this scan is and what makes it different – and better.
For more content on fMRI, click here.
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Cybersecurity threats are ubiquitous with more and more attacks happening across all industries – and radiology is not immune. In recent years, vendors have created and launched products designed to keep images and the attached personal health information safe, but vulnerabilities still exist. This week, in the Journal of the American College of Radiology, investigators offer solutions to the cybersecurity threats radiology practices face. Look for our coverage later this week.
For more cybersecurity coverage, click here.
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Mammography Study: AI Facilitates Greater Accuracy and Longer Fixation Time on Suspicious Areas
July 8th 2025While noting no differences in sensitivity, specificity or reading time with adjunctive AI for mammography screening, the authors of a new study noted a 4 percent higher AUC and increased fixation time on lesion regions.
Considering Breast- and Lesion-Level Assessments with Mammography AI: What New Research Reveals
June 27th 2025While there was a decline of AUC for mammography AI software from breast-level assessments to lesion-level evaluation, the authors of a new study, involving 1,200 women, found that AI offered over a seven percent higher AUC for lesion-level interpretation in comparison to unassisted expert readers.