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 hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Artificial Intelligence Evaluates Cardiovascular Risk from CT Scans

By MedImaging International staff writers
Posted on 25 Apr 2024
Image: AI can identify comprehensive cardiovascular risk from CT scans obtained without contrast dye (Photo courtesy of Cedars-Sinai)
Image: AI can identify comprehensive cardiovascular risk from CT scans obtained without contrast dye (Photo courtesy of Cedars-Sinai)

Chest computed tomography (CT) is a common diagnostic tool, with approximately 15 million scans conducted each year in the United States, though many are underutilized or not fully explored. While clinicians traditionally assess cardiovascular risk using CT scans that require contrast, a new study has shown that artificial intelligence (AI) can effectively determine cardiovascular risk from routine non-contrast chest CT scans. This method, which assesses coronary calcium and the dimensions of heart chambers and heart muscle, offers a more affordable and less invasive option for identifying cardiovascular risk.

In the study, investigators at Cedars-Sinai (Los Angeles, CA, USA utilized two AI models to analyze data related to coronary calcium and the sizes of heart muscle chambers from the imaging records of nearly 30,000 patients. Findings revealed that these measurements provide more reliable indicators of cardiac risk than the traditional method of a radiologist identifying visual abnormalities. The research showed that non-contrast chest CT can estimate cardiac chambers and left ventricular myocardium from non-contrast chest CT to improve risk classification. Specifically, patients exhibiting higher atrial or ventricular volumes and an abnormal left ventricular mass index were found to be at a higher risk of all-cause or cardiovascular mortality. Furthermore, both left atrial volume and left ventricular mass index were associated with a heightened risk of both all-cause and cardiovascular mortality, even after adjusting for relevant confounding factors and imaging variables.

“These results are likely practice-changing for many patients because this technology can accurately identify cardiovascular risk without the use of invasive tests or contrast dye that some patients cannot receive,” said Piotr J. Slomka, PhD, director of Innovation in Imaging at Cedars-Sinai, professor of Medicine in the Division of Artificial Intelligence in Medicine and senior author of the study.

Related Links:
Cedars-Sinai

New
Ultrasound Needle Guidance System
SonoSite L25
Digital X-Ray Detector Panel
Acuity G4
Silver Member
X-Ray QA Meter
T3 AD Pro
New
Breast Localization System
MAMMOREP LOOP

Channels

Ultrasound

view channel
Image: The new implantable device for chronic pain management is small and flexible (Photo courtesy of The Zhou Lab at USC)

Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery

Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more

Nuclear Medicine

view channel
Image: The diagnostic tool could improve diagnosis and treatment decisions for patients with chronic lung infections (Photo courtesy of SNMMI)

Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections

Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.