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
GLOBETECH PUBLISHING LLC

Download Mobile App




Study Demonstrates the Viability of Coronary Artery Calcification Testing in Asymptomatic Patients

By MedImaging International staff writers
Posted on 13 Jul 2015
Print article
The results of a cohort study that investigated the ability of Computed Tomography (CT) Coronary Artery Calcification (CAC) scores to predict mortality in people with no symptoms of coronary artery disease have been published.

The researchers, from Emory University School of Medicine (Atlanta, Georgia), Weill Cornell Medical College (New York, NY; USA), Johns Hopkins Ciccarone Center for the Prevention of Heart Disease (Baltimore, MD), Cedars-Sinai Medical Center (Cedars, USA‎), Harbor–UCLA Medical Center (Los Angeles, CA; USA), and Tennessee Heart and Vascular Institute (Hendersonville, TN, USA), published the results in the July, 7, 2015, issue of the Annals of Internal Medicine. The researchers found a strong relation between near-term adverse clinical outcomes, and the CAC score, during a follow-up period of 15 years. The study group consisted of 9,715 asymptomatic patients. The researchers collected data about binary risk factors, coronary artery calcification, and mortality, and used uni- and multi-variable Cox proportional hazards models to compare the distribution of surviving study participants. The researchers also calculated the net reclassification improvement statistic.

The resulting Cox models, adjusted for risk factors for coronary artery disease, showed that the CAC score was highly predictive of all-cause mortality. Mortality rates during 15 years of follow up were 3% to 28% for CAC scores from 0 to 1,000 or higher, while the relative hazard for all-cause mortality ranged from 1.68 for a CAC score of 1 to 10, to 6.26 for a CAC score of 1,000 or more. The categorical net reclassification improvement score was 0.21.

The researchers concluded that the extent of CAC, in a large group of asymptomatic patients, could accurately predict their 15-year mortality. The study demonstrated that CAC and other biomarkers can be used to accurately predict patient outcomes.

Related Links:

Emory University School of Medicine
Weill Cornell Medical College
Cedars-Sinai Medical Center


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
X-Ray QA Meter
Piranha CT
Ultrasound System
Acclarix AX9
New
Ultrasound Table
Powered Ultrasound Table-Flat Top

Print article

Channels

MRI

view channel
Image: Diamond dust offers a potential alternative to the widely used contrast agent gadolinium in MRI (Photo courtesy of Max Planck Institute)

Diamond Dust Could Offer New Contrast Agent Option for Future MRI Scans

Gadolinium, a heavy metal used for over three decades as a contrast agent in medical imaging, enhances the clarity of MRI scans by highlighting affected areas. Despite its utility, gadolinium not only... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... 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 © 2000-2024 Globetech Media. All rights reserved.