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Catch up on a variety of FDA news in radiology from the past week.

Researchers found that non-contrast head CT exams, head and neck CT exams and spine CT imaging increased by 33 percent, 76.9 percent and 52.9 percent, respectively, per 1,000 emergency department encounters over the last decade.

Catch up on the top AI-related news and research in radiology over the past month.

New research suggests that photon-counting CT may provide critical insight into a diagnostic dilemma that has challenged radiologists for decades.

For pancreatic cancers less than or equal to 20 mm, a deep learning model offered a nearly 45 percent higher sensitivity rate with non-contrast CT in comparison to unassisted radiologist interpretation.

The Reporting Pro software reportedly offers an array of AI-enabled features that may help streamline radiology reports.

Catch up on a variety of new FDA clearances in radiology from the past week.

The Cone-Beam CT (CBCT) Perfusion software reportedly provides CT-quality perfusion maps during neurointerventional procedures.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in May 2026.

Emerging CCTA research affirms the importance of going beyond LDL reduction in the evaluation and treatment of patients with chronic coronary syndrome.

Catch up on a variety of new FDA clearances in radiology from the past week.

The addition of density heterogeneity on CT to a predictive model for differentiating malignant and benign pulmonary nodules led to a greater than 15 percent improvement in the model’s AUC, according to a new multicenter study.

Catch up on the top radiology content of the past week.

Researchers estimated that 17.9 million middle-aged women in the United States are overdue for breast, cervical or colorectal cancer screening, according to a new cross-sectional study.

In a recent interview, Shadpour Demehri, MD, discussed new research findings suggesting a correlation between emphysema-like changes on CT and reduced bone mineral density in patients without chronic obstructive pulmonary disease (COPD).

Study: More than Half of CT Requests in Pediatric Emergency Department are ‘Usually Not Appropriate’
In a study involving nearly 350 completed requests for CT scans at a pediatric hospital emergency department, researchers found that 54 percent were not appropriate according to American College of Radiology appropriateness criteria.

In a new capabilities analysis of 16 CE-marked AI software platforms for CT lung cancer screening, researchers found that only 6.7 percent of supporting peer-reviewed studies were prospective and that none of the studies assessed impact on patient outcomes.

While previous research has demonstrated the capability of the PET/CT agent (89Zr)girentuximab for detecting clear cell renal cell carcinoma (ccRCC), a new analysis reveals a 98 percent positive predictive value (PPV) for detecting non-ccRCC renal cancers.

Catch up on the top radiology content of the past week.

The benefits of photon-counting CT via ultra-high spatial resolution, reduced blooming artifacts and high temporal resolution allow characterization with confidence in coronary stent assessment.

In an independent test set, a radiomic AI model demonstrated an 82 percent AUC for detecting pancreatic ductal adenocarcinoma on computed tomography (CT) scans at a median of nearly 16 months prior to clinical diagnosis.

Providing enhanced multidimensional displays of MRI and CT imaging, the Avatar Medical Vision software may facilitate improved surgical planning and intraoperative communication.

Facilitating enhanced real-time visualization for percutaneous coronary intervention (PCI) procedures, the Ultreon 3.0 optical coherence tomography platform reportedly combines high-resolution imaging with AI-powered insights on stent sizing and positioning.

Catch up on the top AI-related news and research in radiology over the past month.

In recent interviews, Andrew Del Gaizo, MD, Nicholas Galante, MD and David Larson, MD, MBA, shared their thoughts on the rapidly increasing imaging volume in radiology, key ramifications and possible solutions.






















