In a recent video interview, Vivek Bansal, M.D., discussed a recent Radiology Partners publication that offers practical tips and best practice guidance on CT and MRI neuroimaging for stroke patients.
The recent Radiology Partners (RP) publication Neuroradiology and Stroke Clinical Pathway offers a practical best practice guidance for radiologists and technologists on the use and reporting of neuroimaging, including head and neck computed tomography angiography (CTA), cerebral perfusion CT and brain magnetic resonance imaging (MRI), for stroke patients.
In a recent interview, Vivek Bansal, M.D., makes it clear that the publication is geared toward achieving a consistent baseline standard for providing a high level of stroke imaging and care regardless of the size or resources of the given facility.
“We’re not rewriting the guidelines but (trying to) take some of these other hospitals or smaller practices, (facilities) with limited resources, or maybe don’t have neuroradiology specialty coverage, and bring everybody up to some baseline level to where we can say we’re giving optimal stroke care no matter where you go at any RP facility,” noted Dr. Bansal, a Houston-based neuroradiologist who serves as the national subspeciality lead for neuroradiology for Radiology Partners.
Emphasizing the constantly evolving nature and urgency of stroke care, Dr. Bansal said radiologists need to be active members of the stroke care team.
“In particular with stroke, we can’t be radiologists locked in our little reading rooms separate from everybody else and just putting out reports,” maintained Dr. Bansal. “We have to be part of the team … We have pushed to get really granular data and really help find the trouble points and fix them. That’s the key. When you do that, you get a lot of trust from your hospital system, and you can actually make processes better, and do better for the patients.”
(Editor’s note: To download the Neuroradiology and Stroke Clinical Pathway guidance, click here.)
For more insights from Dr. Bansal, watch the video below.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.