Use of Color-flow Imaging Technique in Carotid Artery Disease

1990 ◽  
Vol 70 (1) ◽  
pp. 201-211 ◽  
Author(s):  
David S. Sumner
Keyword(s):  
Carotid Artery ◽  
Imaging Technique ◽  
Carotid Artery Disease ◽  
Flow Imaging ◽  
Color Flow ◽  
Color Flow Imaging ◽  
Artery Disease

Abstract TMP32: Ultrasonography Grading of Internal Carotid Artery Disease: Multi-Parametric DEGUM versus SRU Consensus Criteria

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Simon M Winzer ◽  
Volker Puetz ◽  
Henning Rickmann ◽  
Hagen H Kitzler ◽  
Andrij Abramyuk ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Carotid Artery Disease ◽  
Artery Occlusion ◽  
Carotid Artery Occlusion ◽  
Occlusive Disease ◽  
Catheter Angiography ◽  
Diagnostic Agreement ◽  
Perfect Agreement ◽  
Color Flow ◽  
Artery Disease

Introduction: The novel multi-parametric ‘DEGUM’ duplex ultrasonography (DUS) criteria may improve accuracy of extracranial carotid artery grading but have not been compared with the established Society of Radiologists in Ultrasound (SRU) consensus criteria yet. We sought to investigate the diagnostic agreement between these two widely used DUS approaches for grading of carotid artery steno-occlusive disease. Methods: This was a sub-analysis of the complete dataset from a prospective multicenter study, where a total of 120 patients underwent both DUS and catheter angiography for validation of the multi-parametric DEGUM ultrasound approach. In this analysis, two ultrasonography experts independently interpreted documented B-image, color-flow and Doppler spectra findings utilizing DEGUM and SRU criteria. Carotid arteries were categorized into clinically relevant NASCET strata: moderate (50-69%), severe (70-99%) and occlusion. On angiography, ICA was graded using the NASCET approach. Inter-rater and between-methods reliability was assessed through weighted Cohen’s kappa. Overall accuracy for both ultrasound approaches was computed using catheter angiography as the gold standard. Results: We analyzed a total of 162 carotid artery pairs on catheter angiography and DUS. There was almost perfect agreement between both ultrasonography diagnostic approaches in describing all clinically relevant grades of the disease (k w 0.91, CI95%: 0.89-0.94). Inter-rater reliability was found to be comparably high for both the DEGUM (k w 0.97, CI95%: 0.94-0.98) and the SRU (k w 0.98, CI95%: 0.97-0.99) ultrasonography approaches. Compared with catheter angiography, overall accuracy for moderate and severe stenosis ranges did not differ between the DEGUM (73% and 73%, respectively) and the SRU (73% and 70%, respectively) approaches. There was also no difference for detection of carotid artery occlusion (96% and 96%, respectively). Conclusions: Our analysis showed almost perfect diagnostic agreement between the DEGUM and the SRU approaches for ultrasonography grading of carotid artery steno-occlusive disease. Therefore, our data do not support superiority of one approach over the other in the evaluation of clinically relevant grades of the disease.

Numerical Simulation of Ultrasonic Color Blood Flow Imaging in the Carotid Artery: Comparing a 1st Order and Fully Coupled Approach

2009 ◽  
Author(s):  
Abigail Swillens ◽  
Lasse Løvstakken ◽  
Thomas De Schryver ◽  
Hans Torp ◽  
Patrick Segers
Keyword(s):  
Numerical Simulation ◽  
Blood Flow ◽  
Carotid Artery ◽  
Ultrasonic Imaging ◽  
Simulation Software ◽  
Flow Imaging ◽  
Ultrasound Images ◽  
Color Flow ◽  
Color Flow Imaging ◽  
Fully Coupled

Ultrasonic imaging is widely applied for visualization of blood flow using different imaging modalities. However, due to the inherent physical limitations of the ultrasonic imaging process, the actual flow dynamics and the information embedded in the ultrasound image do not necessarily strictly correspond. Computational fluid dynamics (CFD) can play an important role in interpreting and improving ultrasound imaging via numerical simulation of ultrasound images. For this purpose, CFD velocity data can be directly processed to mimic ultrasonic images (1st order approach) or can be further coupled to ultrasound simulation software, providing a fully coupled approach. We compared both methods for the clinically relevant case of color flow imaging of the carotid artery. We conclude that for this application, the 1st order approach leads to results lacking indispensable properties of the imaging process, i.e., (i) the imaging dynamics, and (ii) the statistical properties of the ultrasonic velocity estimator.

Differential Diagnosis of Pulsatile Neck Masses by Doppler Color Flow Imaging

1995 ◽  
Vol 104 (8) ◽  
pp. 633-638 ◽  
Author(s):  
Yousuke Takeuchi ◽  
Tsutomu Numata ◽  
Akiyoshi Konno ◽  
Haruhiko Suzuki ◽  
Toshio Kaneko
Keyword(s):  
Differential Diagnosis ◽  
Carotid Artery ◽  
Common Carotid Artery ◽  
Initial Evaluation ◽  
Flow Imaging ◽  
Color Flow ◽  
Color Flow Imaging ◽  
The Common ◽  
Doppler Color ◽  
Doppler Color Flow Imaging

A pulsatile neck mass (PNM) requires careful judgment in its evaluation, and it is difficult and inaccurate to diagnose a PNM only by physical examination, even though a thrill or bruit is present. Doppler color flow imaging (DCI) was performed as an initial evaluation in nine patients with PNMs. Intravenous digital subtraction angiography, intra-arterial angiography, X-ray computed tomography, and magnetic resonance imaging were performed in selected cases. The DCI revealed seven vascular masses (three tortuosities of the common carotid artery, two tortuosities of the brachiocephalic artery, one pseudoaneurysm, and one traumatic arteriovenous fistula) and two nonvascular masses (one neurofibroma and one metastatic lymph node). The clinical diagnoses of all the vascular masses were defined by DCI. In nonvascular masses, fine-needle aspiration biopsy could be performed relatively safely and accurately by monitoring the feeding artery or the common carotid artery by DCI. This method was quite useful for the initial evaluation in the differential diagnosis of PNMs.

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