At a glance
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CT-Based Abdominal Aortic Calcium Score and CAD-RADS 2.0 in Elderly Chest Pain: A Cohort Study
In Brief
A clinical study evaluating CCTA for Coronary Artery Disease (CAD). Completed, enrolled 68 participants across 1 site.
Detailed Summary
Background: Abdominal aortic calcium (AAC) is a marker of systemic atherosclerosis and may predict cardiovascular outcomes similarly to coronary artery calcium (CAC). This study evaluates the predictive efficacy of CT-based AAC scores for coronary plaque burden and stenosis using the CAD-RADS 2.0 classification system. Methods: A prospective cohort of 68 patients (mean age 67.5 years) with chest pain underwent cardiac CT for CAC, AAC scoring, and coronary computed tomography angiography (CCTA) at Kaohsiung Chang Gung Memorial Hospital (June 2021-May 2023). AAC scores were quantified using the Agatston method across 8 cm and 5 cm aortic segments, and outcomes were analyzed based on CAD-RADS 2.0 and plaque burden classifications.
Study Details
Timeline
Interventions
The data acquisition protocol was tailored to each patient's heart rate and rhythm. Specifically, a prospectively ECG-triggered volume scan was used to account for heart rates and rhythms, capturing predefined scanning areas during R-R intervals, especially in instances of frequent ectopic beats or irregular heart rates noted during pre-scan ECG monitoring. Imaging system parameters included a gantry rotation time of 0.275 seconds, collimation of 0.5 mm, tube voltage settings ranging from 100 kV to 120 kV, and a tube current-time product between 200 mAs and 450 mAs, with adjustments based on the patient's BMI.