The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).

The PET/CT agent 18F-PSMA-1007 offered the highest surface under the cumulative ranking curve (SUCRA) out of nine radiotracers at the patient and lesion level for detecting clinically significant prostate cancer (csPCa), according to a meta-analysis.

Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.

Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.

Emphasizing the role of radiologists in facilitating timely diagnosis of Marfan syndrome, Alan Braverman, M.D. discussed the use of echocardiography, CT, and MRI in evaluating patients with this genetic aortic condition.

For women with intermediate risk and a personal history of breast cancer, an emerging AI system offered an 81 percent AUC for breast cancer detection, according to new research.

The artificial intelligence (AI)-enabled software Lumina 3D reportedly provides reconstructions of computed tomography angiography (CTA) images of the head and neck in minutes.

In light of increasing imaging volume, retirements and burnout in radiology, this author suggests that technologies such as portable X-ray devices may have a significant impact.

Could there be a simpler more secure alternative to the daily dance with password managers, VPNs, and authenticator apps?

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

Text messaging may go a long way toward reducing the costs and potential health repercussions that can occur with cancellations, no-shows and no-gos in radiology practice.

A predictive model for non-small cell lung cancer (NSCLC) recurrence, based on clinical parameters and CT findings, demonstrated an 85.2 percent AUC and 83.3 percent sensitivity rate, according to external validation testing in a new study.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in January 2025.

In external validation testing, a deep learning model demonstrated an average AUC of 87.6 percent for detecting clinically significant prostate cancer (csPCA) on prostate MRI for patients with PI-RADS 3 assessments.

Catch up on the most-well viewed radiology content in January 2025.

For those without low skeletal muscle mass on CT and myosteatosis, obese patients have a 23 percent lower risk of death than non-obese patients after undergoing curative resection for non-small cell lung cancer, according to newly published research.

For patients with newly diagnosed obstructive coronary artery disease (CAD), a multimodal machine learning model offered an 86 percent AUC for predicting MACE, which was 10 percent higher than CCTA alone and over 35 percent higher than the Framingham Risk Score.

An array of AI-powered features and automated tools may lead to improved workflow and image quality with the Voluson Expert 22, 20 and 18 ultrasound systems.

In a recent interview, Joshua Gowin, M.D., discussed emerging brain MRI research that showed a significant association between heavy lifetime use of cannabis and reduced brain activity for working memory tasks in young adults.

Catch up on the most-well viewed MRI content in January 2025.