Study Demonstrates the Viability of Coronary Artery Calcification Testing in Asymptomatic Patients
|
By MedImaging International staff writers Posted on 13 Jul 2015 |
|
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
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
3T MRI Scanner
MAGNETOM Cima.X
40/80-Slice CT System
uCT 528
Ultrasound Imaging System
P12 Elite
New
HF Stationary X-Ray Machine
TR20G
Latest Radiography News
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
- Advanced 3D Mammography Detects More Breast Cancers
Channels
MRI
view channel
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read more
Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Now, a new minimally invasive technique could significantly... Read more
High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Most of these biopsies are performed using MRI images... Read more
World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
General/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read more
Imaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more
Industry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more