We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

AI-Powered Algorithm Catches Unruptured Brain Aneurysms Missed in Routine CT Scans

By MedImaging International staff writers
Posted on 18 Sep 2023
Print article
Image: An AI-powered algorithm can help detect unruptured brain aneurysms missed in routine clinical care (Photo courtesy of 123RF)
Image: An AI-powered algorithm can help detect unruptured brain aneurysms missed in routine clinical care (Photo courtesy of 123RF)

Each year, a significant number of people worldwide suffer from ruptured aneurysms in the brain. Often, these aneurysms are discovered by chance during brain scans conducted for unrelated issues. Now, a machine learning algorithm has been found to better identify these unruptured aneurysms that need medical attention but may be overlooked during routine brain scans.

Researchers from UTHealth Houston (Houston, TX, USA) studied a prospectively maintained registry that involved eight approved stroke centers. They focused on patients who had undergone CT angiography scans to evaluate potential stroke risks. A machine learning algorithm called Viz Aneurysm from Viz.ai (San Francisco, CA, USA), analyzed these scans to identify unruptured cerebral aneurysms that were at least four millimeters large. Out of 1,191 scans reviewed during the study, the algorithm flagged 50 as possibly showing an unruptured aneurysm. From those, 36 genuine aneurysms were detected from 31 CT angiograms, including four cases of multiple aneurysms.

Of these 36 confirmed aneurysms, 67% had not been previously marked for further evaluation, and they had a median size of 4.4 millimeters. Five of these untracked aneurysms were larger than seven millimeters and carried an average 2.4% risk of rupture over the next five years. To put it simply, only a third of the unruptured aneurysms that likely needed further investigation had been initially flagged for follow-up during routine clinical care. The most common location for these aneurysms was the internal carotid artery, accounting for 46% of cases. Researchers believe that such machine learning algorithms can enhance the detection rate of unruptured cerebral aneurysms by flagging CT angiograms suspected of aneurysm. Such algorithms can also help streamline follow-up and communication among healthcare providers through the same platform.

“We have already seen the tremendous benefit that machine learning can bring to patients suffering from acute stroke,” said senior author Sunil A. Sheth, MD, associate professor at UTHealth Houston. “In this study, we see a similar possibility for substantially improving the way in which we identify, counsel, and help patients with brain aneurysms.”

Related Links:
UTHealth Houston 

Gold Supplier
Conductive Gel
Gold Supplier
128 Slice CT Scanner
Supria 128
Radiographic System
RADspeed Pro Style Edition V Series
Gold Supplier
32 Slice CT Scanner
Supria 32

Print article
Sun Nuclear -    Mirion



view channel
Image: Embrace is the first FDA 510(k) cleared and CE marked dedicated neonatal MRI system (Photo courtesy of Aspect Imaging)

Point of Care Neonatal MRI System Offers Transformative Solution for Neuroimaing Inside NICU

Magnetic resonance imaging (MRI) offers invaluable insights for neonatologists, but its application has been restricted in Neonatal Intensive Care Units (NICU) due to the precarious health condition of many infants.... Read more


view channel
Image: FloPatch is a revolutionary tool that facilitates real-time precision in IV fluid management in sepsis (Photo courtesy of Flosonics)

Wireless, Wearable Doppler Ultrasound Revolutionizes Precision Fluid Management in Sepsis Care

When a patient comes to the hospital with sepsis, administering intravenous (IV) fluids is usually the first course of action. However, too much IV fluid can do more harm than good, causing additional... Read more

Nuclear Medicine

view channel
Image: An AI model can evaluate brain tumors on PET (Photo courtesy of Freepik)

AI Model for PET Imaging Determines Patient Response to Brain Tumor Treatments

The assessment of changes in metabolic tumor volume (MTV) through PET scans using specific radiotracers like F-18 fluoroethyl tyrosine (FET) plays a vital role in evaluating the treatment response in patients... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: The Zenition 70 mobile C-arm with flat detector (Photo courtesy of Philips)

Global Fixed and Mobile C-Arms Market Driven by Increasing Surgical Procedures

The evolution of C-arm technology has been truly remarkable, ushering in the era of mobile and mini C-arms. These advancements have provided surgeons with the gift of mobility and improved image quality,... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.