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High–Frame Rate Vector Flow Imaging of the Carotid Bifurcation in Healthy Adults: Comparison With Color Doppler Imaging
Author(s) -
Goddi Alfredo,
Bortolotto Chandra,
Raciti Maria Vittoria,
Fiorina Ilaria,
Aiani Luca,
Magistretti Giovanni,
Sacchi Andrea,
Tinelli Carmine,
Calliada Fabrizio
Publication year - 2018
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.1002/jum.14579
Subject(s) - medicine , internal carotid artery , doppler effect , carotid bifurcation , common carotid artery , color doppler , vector flow , nuclear medicine , radiology , biomedical engineering , carotid arteries , stenosis , cardiology , artificial intelligence , physics , ultrasonography , segmentation , astronomy , computer science , image segmentation
Objectives To evaluate the carotid bifurcation in healthy adults using a commercial system equipped with high–frame rate vector flow imaging (VFI) based on the plane wave and to compare VFI with color Doppler imaging. Methods Carotid bifurcation diameters and flow characteristics of 60 vessels in 60 healthy volunteers were evaluated quantitatively and qualitatively to assess complex flow patterns and their extension and duration. Results Complex flow in the internal carotid artery (ICA) was associated with a statistically significant difference in the ΔICA sinus‐to‐common carotid artery (CCA) diameter ratio (the relative change in diameter between the CCA and ICA sinus.) Vector flow imaging and color Doppler imaging were in accordance when detecting complex flow in 96.7% of cases; in 3.3% of cases, only VFI identified small recirculation areas of short duration. Vector flow imaging highlighted a larger extension of the complex flow (mean ± SD, 47.7 ± 28.5 mm 2 ; median, 45.5 mm 2 ) compared with color Doppler imaging (mean, 29.2 ± 19.9 mm 2 ; median, 29.5 mm 2 ) and better depicted different complex flow patterns; a strong correlation ( r = 0.84) was found between the ΔICA sinus‐to‐CCA diameter ratio and the complex flow extension. Vector flow imaging showed a longer duration of the flow disturbances (mean, 380 ± 218 milliseconds; median, 352.5 milliseconds) compared with color Doppler imaging (mean, 325 ± 206 milliseconds; median, 333 milliseconds), and there was a strong correlation ( r = 0.92). Conclusions Vector flow imaging is as effective as color Doppler imaging in the detection of flow disturbances, but it is more powerful in the assessment of complex flow patterns.