MRI

Beyond the hype, whole-body MRI offers limited clinical benefit in the general population with extraneous use potentially triggering a cycle of overdiagnosis, unnecessary treatment and financial strain.

In the second part of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, discuss key sequences for abbreviated breast MRI and how it stacks up to other breast cancer screening modalities.

Advanced annotation with the updated UroNav MRI/ultrasound fusion platform may facilitate enhanced precision and efficiency with focal therapies for prostate cancer.

In a prospective study involving nearly 100 patients with Long Covid, 57 percent of patients had PET/MRI abnormalities and 90 percent of the cohort had abnormalities on dual-energy CT scans.

In the first of a multi-part podcast episode, Emanuel Kanal, MD and Tobias Gilk share their insights and perspectives on remote MRI safety.

Catch up on the latest MRI studies, AI innovations, and expert insights on abbreviated breast MRI with our Weekly Scan.

In the first of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, share their insights on the role of abbreviated breast MRI in breast screening.

The use of adjunctive bpMRI-based AI led to 10 percent and greater increases in lesion-level PPV for csPCa and PCa with a threshold of PI-RADS > 3.

Noting a 7.4 percent incidence of motion artifacts on brain MRI scans for suspected stroke patients, the authors of a new study found that motion artifacts can reduce radiologist and AI accuracy for detecting hemorrhagic lesions.

In external validation findings from a 29-study meta-analysis, MRI-based AI had a pooled AUC of 85 percent for preoperative prediction for microvascular invasion in patients with hepatocellular carcinoma.

A fully convolutional data description (FCDD) model for identifying anomalies on breast MRI demonstrated an 84 percent AUC for detection tasks in a balanced cohort with a 20 percent malignancy prevalence and a 72 percent AUC for detection tasks in an imbalanced group with a 1.85 percent cancer prevalence.

The updated capabilities of SwiftMR include personalized scan settings within the software, artifact reduction and cloud integration.

Emerging research revealed significantly enhanced sensitivity for prostate cancer detection with adjunctive and stand-alone use of AI.

For patients with unresectable hepatocellular carcinoma, a pre-treatment MRI finding of LI-RADS tumor in vein was associated with over an 86 percent lower likelihood of responding to transcatheter arterial chemoembolization (TACE) and targeted immunotherapy.

Stay updated with the latest in radiology, including PET, MRI, and AI research, plus essential insights on mammography and cardiac imaging.

For patients with advanced Parkinson’s disease, the expanded FDA approval of the Exablate Neuro platform allows for the use of MRI-guided focused ultrasound in performing staged bilateral pallidothalamic tractotomy.

Findings from the TRAILBLAZER-ALZ 6 study revealed a 41 percent reduction of the ARIA-E side effect at 24 weeks with the new dosing schedule for the anti-amyloid treatment donanemab-azbt.

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

In external testing, a model combining radiological complete response on breast MRI, nodal status and Ki-67 proliferation index yielded an 88 percent AUC for predicting pathologic complete response to neoadjuvant chemoimmunotherapy for patients with triple-negative breast cancer, according to new research.

The deep learning reconstruction software reportedly facilitates accelerated MRI scanning and significantly enhanced image sharpness.

For people with dilated cardiomyopathy and those with initially normal cardiac MRI, each 1 ug/m3 increase in one-year exposure to ambient fine particulate matter with 2.5-um > aerodynamic diameter was associated with significantly more diffuse myocardial fibrosis, according to a recent study.

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

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

Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.

While the addition of contrast-enhanced mammography (CEM) to digital breast tomosynthesis (DBT) led to over a 13 percent increase in false positive cases, researchers also noted over double the cancer yield per 1,000 women in comparison to DBT alone.