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Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
Published on: December 8, 2013
Invasive versus noninvasive studies of risk factors and atherosclerosis
1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892.
Insights
Assessing atherosclerosis risk factors using invasive coronary angiography or noninvasive carotid ultrasound presents different biases. Careful bias evaluation is crucial for accurately comparing risk factor associations with arterial disease.
Area of Science:
- Cardiovascular Disease Research
- Medical Imaging Analysis
Background:
- Atherosclerosis risk factor assessment utilizes invasive angiography and noninvasive methods, each with distinct bias potentials.
- Coronary angiography biases can be challenging to control statistically due to unrecognized or unmanageable factors.
- Invasive studies may lead to differential misclassification, particularly in clinical settings compared to research-based ultrasound imaging.
Purpose of the Study:
- To compare the potential biases associated with invasive coronary angiography and noninvasive carotid ultrasound in assessing atherosclerosis.
- To highlight the challenges in controlling statistical biases inherent in invasive diagnostic methods.
- To emphasize the importance of addressing biases for accurate interpretation of risk factor associations with atherosclerosis.
Main Methods:
- Review of existing literature on bias in invasive (coronary angiography) and noninvasive (carotid ultrasound) methods for atherosclerosis assessment.
- Analysis of potential sources of bias, including control selection and differential/nondifferential misclassification.
- Comparison of bias control challenges in clinical versus research settings.
Main Results:
- Coronary angiography is prone to biases in control selection and differential misclassification, complicating statistical analysis.
- Noninvasive carotid ultrasound, particularly in research settings, may offer better control over certain biases.
- Nondifferential misclassification impacts both invasive and noninvasive methods, affecting the interpretation of risk factor association strengths.
Conclusions:
- Understanding and addressing biases in both invasive and noninvasive methods is essential for accurate atherosclerosis research.
- Comparing risk factor associations using both coronary angiography and carotid ultrasound, with careful bias consideration, can enhance understanding of atherosclerosis.
- Future studies should provide sufficient information to evaluate biases in angiographic assessments of atherosclerosis.
Abstract:
Associations of risk factors with atherosclerosis may be assessed by either invasive methods for measuring the arterial disease, such as angiography, or noninvasive methods; these methods differ in their potential for bias. Biases associated with coronary angiography may be difficult to control in statistical analysis, either because they are unrecognized or because they are amenable to neither stratification nor multivariate analysis. Problems in control selection include the likelihood that angiography controls overrepresent related ischemic or noncoronary cardiac conditions with their own risk factor associations. Differential misclassification is more likely in the clinical setting when invasive studies are used than in a research setting involving ultrasound imaging of carotid arteries. Nondifferential misclassification, however, affects both types of studies and clouds interpretation of the comparative strength of risk factor associations with atherosclerosis assessed by the two methods. Recent angiographic studies have generally provided insufficient information to evaluate these biases. However, with proper attention to such biases, one may be able to learn much about early and late stages of atherosclerosis by comparing risk factor associations with disease measured by both coronary angiography and carotid ultrasound.
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