Neurology MRI

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

In the second of a multi-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, share their perspectives on remote MRI safety protocols for ensuring screening accuracy and adherence to conditional implant guidelines as well as a rapid and effective response to adverse events.

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

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.

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

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.

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

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

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.

An alternative to an open neurosurgical approach, the Visualase V2 MRI-Guided Laser Ablation System reportedly utilizes laser interstitial thermal therapy (LITT) for targeted soft tissue ablation in patients with brain tumors and focal epilepsy.

The Optive AI software, the tenth software release for the Swoop portable MRI system, reportedly offers enhanced clarity and anatomical detail for ultra-low-field MRI of the brain.

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

Recognition of the central vein sign with a six-minute MRI demonstrated comparable sensitivity for multiple sclerosis (MS) detection in comparison to oligoclonal band (OCB) assessment, which requires lumbar puncture, according to newly published research.

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

While AI-enabled hippocampal segmentation on MRI offered a 95 percent AUC for differentiating between Alzheimer’s disease and normal controls in a 27-study meta-analysis, it offered significantly lower sensitivity and specificity in differentiating mild cognitive impairment.

Irrespective of age or O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status, gross total resection of IDH wild-type glioblastomas was associated with a median overall survival of 32.6 months, according to new MRI research.

Capable of segmenting over 37 organs and structures in the head, neck and pelvis, the MR Contour DL software is currently being showcased at the European Society for Radiotherapy and Oncology (ESTRO) conference.

Emerging MRI research suggests that brain age is nearly two years older than chronological age for people with metabolic dysfunction-associated steatotic liver disease (MASLD) and increased alcohol intake.

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

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

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

In comparison to native 64-mT MRI, the deep learning generative model LowGAN offered enhanced white matter lesion conspicuity and image quality in a study involving patients with multiple sclerosis.