Neurology MRI

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

The Maestro Brain Model reportedly provides automated identification, quantification and labeling of brain structures on magnetic resonance imaging (MRI).

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

What is the diagnosis?

Viz.ai said the Viz Subdural Hematoma (SDH) artificial intelligence (AI) algorithm provides automatic detection of acute and chronic subdural hemorrhages, facilitating timely triage and treatment of patients.

The imaging agent is approved for use in 50 countries in Europe and Asia, but is not currently approved in the US.

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

In a video interview, Morris Panner, the president of Intelerad Medical Systems, discussed key observations from the recent Society for Imaging Informatics in Medicine (SIIM) conference, recent research about artificial intelligence (AI) adoption and emerging goals for enhancing the efficiency of radiology workflows.

Utilizing susceptibility-weighted magnetic resonance imaging (MRI) in a study involving over 20,700 people, researchers found that drinking more than seven units (56 grams) of alcohol a week led to a higher accumulation of brain iron, which can trigger cognitive decline.

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

In an award-winning presentation at the European Congress of Radiology (ECR), researchers from the Hospital Universitario Basurto in Spain reviewed key neuroimaging findings on magnetic resonance imaging (MRI) for a variety of inflammatory lesions of the brain stem.

The artificial intelligence (AI) capabilities of the new software reportedly facilitate scanning times that are three times faster than conventional magnetic resonance image (MRI) scanners.

In their testing of eight commercially available filtering face piece (FFP3) respirators commonly utilized during the COVID-19 pandemic, researchers deemed that five of the face masks that contained ferromagnetic materials were unsafe to use in and around magnetic resonance imaging (MRI) devices.

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

The new magnetic resonance imaging (MRI) device reportedly offers deep learning technologies and advanced processing of whole-body images in a cost-effective and lightweight model.

Emerging research with brain magnetic resonance imaging (MRI) scans shows that postmenopausal women have higher amounts of white matter hyperintensities that may lead to elevated risks for cognitive dysfunction and stroke.

Calantric™ Digital Solutions reportedly offers artificial intelligence (AI)-powered apps, bolsters lesion detection, facilitates triage priorities and enhances workflow efficiency.

In a recent video interview, neurologist Pardis Zarifkar, MD discussed a new study that found significantly elevated risks for Alzheimer’s disease and Parkinson’s disease among patients who tested positive for COVID-19.

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

Emerging research showed that patients with COVID-19 had 3.5 times the risk for developing Alzheimer’s disease and 2.6 times the risk for Parkinson’s disease in comparison to those who did not have COVID-19.

New research suggests that an emerging predictive biomarker, derived from a combination of magnetic resonance imaging (MRI) brain scans and a machine learning algorithm, has significantly greater accuracy than previously established measurements for diagnosing Alzheimer’s disease.

As the iodinated contrast media shortage continues to have a significant adverse effect on radiology, these authors assess the pros and cons of emerging strategies and imaging alternatives.

In what may be the largest study to date to examine the use of whole-body imaging to assess multisystem thrombosis in patients with COVID-19 vaccine-induced immune thrombotic thrombocytopenia, researchers found multiple sites of thrombosis in 83 percent of patients who had additional CT, MRI and/or ultrasound imaging beyond the area of their primary complaint.

Whether it is humorous associations with common terminology, oddities on X-rays or decidedly uncomfortable imaging findings, this author shares a few chuckles from his experience.

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

The deep learning model may offer enhanced sensitivity and specificity on MRI for patients with glioblastoma, according to preliminary research presented at the Society for Imaging Informatics in Medicine (SIIM) conference.

The new workload management system reportedly emphasizes predictive analytics to facilitate efficient workload distribution and increase reading capacity for radiologists.

Do we settle for oblique truths more often than not to mitigate potential repercussions?

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

In a recent video interview on the current iodinated contrast media shortage, neuroradiologist Sean Bryant, MD discussed imaging alternatives, emphasized communication with referring physicians on optimal studies, and discussed the ongoing need to prevent “protocol creep” with timely updates of imaging protocols.