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Updated: Aug 7, 2025
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Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge
Published on: January 20, 2023
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Pitfalls in Carotid Doppler Interpretation and How to Avoid Them
Gowthaman Gunabushanam1, Risa H Kent1, Leslie M Scoutt1
1Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
Summary
Carotid Doppler ultrasound has common imaging pitfalls that can lead to incorrect stenosis diagnosis and severity grading. Understanding these issues, including patient factors and plaque characteristics, is key to accurate carotid artery assessments.
Area of Science:
- Vascular Ultrasound
- Medical Imaging
- Diagnostic Accuracy
Background:
- Carotid Doppler ultrasound is crucial for diagnosing carotid artery stenosis.
- Imaging pitfalls can compromise the accuracy of carotid Doppler examinations.
- Misinterpretation can lead to incorrect clinical management.
Purpose of the Study:
- To identify common imaging pitfalls in carotid Doppler ultrasound.
- To explain how these pitfalls lead to diagnostic errors.
- To emphasize the importance of careful assessment for accurate interpretation.
Main Methods:
- Review of potential sources of error in carotid Doppler ultrasound.
- Analysis of suboptimal technique and patient-specific factors.
- Emphasis on comprehensive assessment of grayscale, color Doppler, and spectral waveforms.
Main Results:
- Common pitfalls include suboptimal technique and patient factors like tortuous vessels, tandem lesions, and calcified plaque.
- These factors can result in false positives, missed diagnoses, and inaccurate stenosis grading.
- Accurate interpretation requires careful evaluation of all imaging modalities and waveforms.
Conclusions:
- Awareness of imaging pitfalls is essential for avoiding misinterpretation in carotid Doppler ultrasound.
- A thorough assessment integrating grayscale, color Doppler, and spectral Doppler analysis is critical.
- Improved understanding can enhance diagnostic accuracy and patient care in carotid artery disease evaluation.
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