Related Experiment Video
Updated: Jun 3, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary artery calcification as an incremental predictive risk: Research perspectives in primary prevention
Alberto Cereda1, Antonio G Franchina1, Lorenzo Tua1
1Cardiovascular Department, ASST Santi Paolo e Carlo, Milan, Italy.
Insights
Coronary artery calcium (CAC) scoring from CT scans can refine cardiovascular trial design. Incorporating CAC scores may reduce trial sizes and identify effective primary prevention treatments for high-risk individuals.
Area of Science:
- Cardiology
- Medical Imaging
- Biomarker Research
Background:
- Coronary artery calcium (CAC) scoring is an underutilized biomarker from non-cardiac CT scans.
- CAC represents subclinical atherosclerosis, a key factor in cardiovascular disease.
- Existing risk scores can be enhanced with CAC data.
Purpose of the Study:
- To evaluate the impact of incorporating varying Coronary Artery Calcium (CAC) scores into cardiovascular risk assessment.
- To determine how CAC scoring influences the design and sample size requirements for cardiovascular prevention trials.
- To explore the potential of CAC in identifying suitable candidates for novel primary prevention therapies.
Main Methods:
- Development of a simulation model using the Multi-Ethnic Study of Atherosclerosis (MESA) coronary artery risk score.
- Integration of diverse CAC score values into the MESA model.
- Utilizing population data from the Fourier Trial for model validation.
Main Results:
- Coronary artery calcium (CAC) scores significantly modulate the required sample sizes for cardiovascular prevention trials.
- Inclusion of CAC scores can optimize trial efficiency in both primary and secondary prevention studies.
- High-risk individuals identified by CAC may benefit from targeted primary prevention treatments.
Conclusions:
- CAC scoring is a valuable tool for enhancing cardiovascular risk stratification.
- CAC assessment can lead to more efficient and targeted cardiovascular clinical trials.
- The integration of CAC into risk models offers a pathway to improved primary prevention strategies.
Abstract:
Coronary artery calcium (CAC) score is a neglected biomarker that can be derived from non-cardiac chest computed tomography scan and represents a surrogate for atherosclerosis. We created a simulation model using different CAC score values in the MESA coronary artery risk score in a population derived from the Fourier Trial. CAC score could modulate the sample sizes of cardiovascular trials in primary and secondary prevention and offer new primary prevention treatments to high-risk subjects with reasonable numbers needed to treat comparable to secondary prevention trials.
More Related Videos
11:30A Semi-Automated and Reproducible Biological-Based Method to Quantify Calcium Deposition In Vitro
Published on: June 2, 2022
06:57Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
Published on: September 22, 2023
Related Concept Videos
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
Imaging Studies for Cardiovascular System III: X-Ray
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
Imaging Studies for Cardiovascular System V: CT
Ischemic Heart Disease: Overview
Atherosclerosis, the primary malefactor, orchestrates this dangerous condition. It manifests as the accumulation of fatty deposits, akin to insidious plaques, within arterial walls. As time elapses, these plaques metamorphose, hardening and...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...