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




AI Determines Calcium Scores in CT and PET Images More Rapidly and Accurately than Physicians

By MedImaging International staff writers
Posted on 22 Sep 2022
Image: AI has been shown to more rapidly and objectively determine calcium scores than physicians (Photo courtesy of Unsplash)
Image: AI has been shown to more rapidly and objectively determine calcium scores than physicians (Photo courtesy of Unsplash)

Calcium scores found within the heart provide an accurate measure of atherosclerosis - a buildup of fats, cholesterol and other substances found in the artery walls that can lead to serious cardiac conditions. The assessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. Coronary artery calcium is also visible in CT attenuation correction scans, always acquired with cardiac positron emission tomographic (PET) imaging. Now, a new study has revealed that artificial intelligence (AI) tools can more rapidly, and objectively, determine calcium scores in CT and PET images than physicians, even when obtained from very-low-radiation CT attenuation scans.

The novel deep learning model, originally developed for video applications, was adapted by researchers at Cedars-Sinai (Los Angeles, CA, USA) to rapidly quantify coronary artery calcium. The model was trained using 9,543 expert-annotated CT scans and was tested in 4,331 patients from an external cohort undergoing PET/CT imaging with major adverse cardiac events. Same-day paired electrocardiographically gated CAC scans were available in 2,737 patients. The CT attenuation maps were obtained with PET/CT scans and could be processed by AI techniques for rapid and objective determination of coronary calcium score without additional scan and radiation. Using these AI and deep learning techniques requires less imaging, less radiation and lower costs, according to the researchers.

Related Links:
Cedars-Sinai 

40/80-Slice CT System
uCT 528
Portable Color Doppler Ultrasound System
S5000
Ultrasonic Pocket Doppler
SD1
Digital X-Ray Detector Panel
Acuity G4

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.