Journal highlights
The following are highlights from the current issues of RSNA’s peer-reviewed journals.
A New Way to Explore RSNA Journals
The updated RSNA Journals website is designed to enhance your reading experience, making it easier than ever to discover what’s new and noteworthy in imaging science.
Now you can quickly access the latest articles from all six journals and catch up on the newest reporting and a rich library of RSNA-published research—all in one place.
You’ll find an extensive assortment of multimedia content for each journal that adds depth and dimension to your learning.
From expert video explainers and dynamic case walkthroughs to interactive figures, enriched datasets and in-depth podcast discussions, The RSNA Journals website offers multiple ways to explore the research that’s shaping the field.
Whether you want a quick visual overview or a deeper dive into study methods and clinical impact, you’ll find an extensive mix of formats that bring medical imaging science and education to life.
Minimally Invasive Arterial Embolization May Ease Joint Pain
Chronic joint pain affects millions of people worldwide and often leads to significant disability. Standard therapies like nonsteroidal anti-inflammatory medications and joint injections may provide only temporary relief.
Minimally invasive options like nerve ablation lack high-quality evidence and offer short-term benefits. Surgical procedures carry the potential for adverse events and may require rehabilitation.
Arterial embolization offers a promising alternative for pain management, especially for patients who have exhausted conservative treatments, are not surgical candidates or want to delay surgery. Although not completely understood, embolization reduces abnormal blood vessel growth and inflammation, thereby reducing pain and improving joint function.
Clinical trials have demonstrated promising success rates.
In a recent Radiology review, Siddharth A. Padia, MD, University of California, Los Angeles, presents a practical guide for joint pain embolization. The article details patient selection and procedural techniques for genicular artery embolization for knee osteoarthritis, elbow artery embolization for lateral epicondylitis and adhesive capsulitis embolization for frozen shoulder.
“Given the gap between pharmacologic and surgical options for joint pain, arterial embolization may serve a pivotal role in the treatment armamentarium,” the author concludes.
Read the full article, “How I Do It: Embolization for Joint Pain.”
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Elbow artery embolization for lateral epicondylitis. (A) Coronal T2-weighted MRI elbow scan in a 42-year-old male patient shows high T2 signal intensity within the extensor tendon attaching to the lateral epicondyle (arrow). (B) After radial artery access, angiogram of the elbow via a 4-F catheter positioned in the brachial artery shows hyperemia (arrow) along the lateral elbow. (C) After selection of the recurrent radial artery, angiogram is used to localize the hypervascularity. (D) Final angiogram after embolization. Legend: 1 = radial recurrent artery, 2 = interosseous recurrent artery.
https://doi.org/10.1148/radiol.243200 ©RSNA 2025
Ultrahigh-Field 7-T MRI Has Expanding Role in Neuroradiology
7-T MRI offers superior signal-to-noise ratio, tissue contrast, chemical shift and susceptibility effects. This advanced imaging modality can help detect small lesions, vascular abnormalities and microstructural changes—advantages that contribute to more accurate diagnoses and improved treatment planning.
Recent regulatory approval of 7-T MRI for brain and knee imaging has accelerated clinical use and development of novel applications. But several technical challenges have impeded widespread clinical adoption.
A new RadioGraphics article provides a guide to recognizing the appropriate applications and limitations of 7-T MRI for a wide range of neurologic disorders, including epilepsy, multiple sclerosis and Parkinson’s disease. Seyed Mohammad Seyedsaadat, MD, Mayo Clinic Florida in Jacksonville, and colleagues discuss recent advancements, technical and physics considerations and strategies to overcome technical barriers.
“As ongoing technical challenges are resolved, it is anticipated that continuous advancements will promote its routine clinical integration, establish novel imaging biomarkers, and broaden its clinical applications in management of neurologic disorders,” the authors summarized.
Read the full article, “Ultrahigh-Field 7-T MRI in Neuroradiology: A Comprehensive Clinical Review.” This article is also available for CME on EdCentral.
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Amyotrophic lateral sclerosis (ALS) in a 37-year-old woman with progressive right-sided weakness. (A, B) Axial 7-T susceptibility-weighted image (A) and phase image (B) show the pathognomonic histopathologic changes of motor neuron disease in the primary motor cortex. Iron deposition is greatest in middle (short arrow) and inner (long arrow) layers of the cortex. Outer layers (arrowhead) are spared. (C) For comparison, 7-T phase image in a patient with multiple sclerosis shows iron deposition in the primary motor cortex but involves all cortical layers (arrow).
https://doi.org/10.1148/rg.250194 ©RSNA 2025
Evaluating AI-CAD Performance in Breast Cancer Screening
Breast cancer screening programs worldwide now use digital mammography. AI-based computer-assisted detection (AI-CAD) shows promise for improving mammographic interpretation, though its full capabilities remain unclear.
In a study published in Radiology: Artificial Intelligence, researchers led by Yun-Woo Chang, MD, Soonchunhyang University Seoul Hospital in South Korea, sought to evaluate the characteristics of cancers detected or missed by AI, as well as the positive predictive values (PPV) for recalls.
The researchers retrospectively applied AI-CAD on exams from 24,543 women who were enrolled in the Artificial Intelligence Breast Cancer Screening in Mammography (AI-STREAM) trial, which compared the diagnostic accuracy of breast radiology systems with and without AI-CAD.
The overall PPV for recalls identified by AI-CAD was 8.7%, slightly above the BI-RADS benchmark. However, it fell short in subgroups with low abnormality scores and dense breasts.
Of 148 cancers detected, five were detected by AI-CAD alone, whereas 12 were recalled by radiologists but missed by AI-CAD. “AI-CAD shows promise for breast cancer screening, with abnormality scores correlating with pathologic and mammographic features. Careful interpretation and understanding of cancers detected or missed by AI-CAD are essential for effective clinical application,” the authors write.
Read the full article, “Breast Cancers Detected and Missed by AI-CAD: Results from the AI-STREAM Trial.”
Contribute to the Future of Pancreatic Imaging
Share your latest advances and discoveries in pancreatic imaging in the Radiology: Imaging Cancer new special collection on pancreatic adenocarcinoma, pancreatic neuroendocrine and hepatobiliary cancers.
We welcome original research articles, reviews and brief reports encompassing imaging and image-guided therapy from cell-based models with organoids, pre-clinical, translational and clinical research. Submissions may address innovations in imaging probes, imaging technologies, image-guided therapies, data analysis methods, public policy and AI/machine learning.
Accepted manuscripts are immediately published and will be presented on the Radiology: Imaging Cancer website.