ArticleUltrasonography (Seoul, Korea)2026
Diagnostic performance of vector flow imaging-derived wall shear stress and radiofrequency echo-tracking-derived arterial stiffness indices in severe carotid stenosis.
Article in Ultrasonography (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Vector Flow Imaging for Carotid Artery Stenosis Assessment: A Scoping Review.Diagnostics (Basel, Switzerland) · 2026Review
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Authors and funding
14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to evaluate the diagnostic performance of vector flow imaging (VFI)-derived hemodynamic parameters and radiofrequency echo-tracking-derived arterial stiffness indices (RF-ASI) for detecting severe carotid artery stenosis.
methodsThis prospective, single-center observational study included 90 patients with carotid artery disease examined between May and July 2024. Stenosis severity was categorized as <50%, 50%-69%, and ≥70% according to the Society of Radiologists in Ultrasound (SRU) Doppler criteria. In patients with stenosis ≥50%, severity was confirmed using digital subtraction angiography, computed tomography angiography, or magnetic resonance angiography. At the plaque level, VFI-derived wall shear stress (WSS) and turbulence metrics, as well as RF-ASI, were measured. Correlation analyses, group comparisons, and receiver operating characteristic analysis were performed to evaluate each parameter's ability to detect ≥70% stenosis.
resultsAmong the 90 patients (mean age, 70.4±8.7 years; 55.6% male), peak-segment mean wall shear stress (WSSmean) demonstrated the strongest correlation with stenosis severity (rₛ=0.87, P<0.001). WSSmean also showed the highest diagnostic performance for detecting ≥70% stenosis (area under the curve, 0.96; 95% confidence interval, 0.92 to 0.99; cutoff, 2.25 Pa), compared with other VFI-derived metrics and RF-ASI. Segmental analysis revealed that WSS values were highest at the plaque peak, whereas turbulence-related metrics were more pronounced in distal segments. In SRU-discordant cases (7 of 90), WSSmean agreed with anatomic imaging-based classification (≥70% vs. <70%) in six of seven lesions.
conclusionVFI-derived WSSmean demonstrated the highest diagnostic performance for detecting severe (≥70%) carotid stenosis. In contrast, RF-ASI showed limited discriminatory ability and may primarily reflect global arterial stiffness rather than focal plaque severity.
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