Key result
Carotid vector flow imaging maps complex hemodynamics but lacks evidence of clinical utility.
Why the study?
Conventional Doppler ultrasound is limited by angle dependence and inability to adequately characterize complex flow patterns, prompting a need to map evidence on vector flow imaging for carotid artery stenosis.
Does vector flow imaging (VFI) improve the assessment of carotid artery stenosis compared to conventional imaging modalities?
Systematic Review (n=2,353)
Does vector flow imaging (VFI) improve the assessment of carotid artery stenosis compared to conventional imaging modalities?
Vector flow imaging shows technical feasibility for characterizing carotid hemodynamics, but current evidence is too preliminary and methodologically limited to support routine clinical implementation for carotid stenosis assessment.
Vector flow imaging should not yet guide carotid stenosis decisions; leaves open the need for standardized, blinded diagnostic validation trials.
Background: Conventional Doppler ultrasound is limited by its angle dependence and its inability to characterize complex flow patterns adequately. Vector flow imaging (VFI) is an angle-independent ultrasound technique that enables two-dimensional velocity vector mapping and the assessment of hemodynamic parameters. This scoping review aims to map the current evidence on the application and validation of VFI for assessing carotid artery stenosis (CAS). Methods: Using the Population–Concept–Context framework, we included studies that evaluated the application, validity, or outcomes of vector flow imaging in individuals with suspected or confirmed carotid artery stenosis, as well as in healthy controls used for comparison or validation, in clinical or research settings. Five electronic databases were searched from inception through 30 April 2026. Studies limited to conventional Doppler ultrasound or to animal or phantom models without human validation were excluded. Data were synthesized using descriptive numerical analysis and narrative thematic synthesis. Results: A total of 48 sources of evidence met the inclusion criteria. Six trial registrations without reported results were excluded from synthesis, leaving 42 synthesized sources, including 40 original studies and two reviews. The most frequently reported parameters were wall shear stress (n = 25), turbulence indices (n = 11), and velocity vectors (n = 14). Most studies were cross-sectional (n = 20) or technical validation studies (n = 13) with small sample sizes (median 31 participants, IQR 10.5–57; range 1–476). The dominant research focus was plaque vulnerability assessment, while fewer studies addressed stenosis grading. Only eight studies reported diagnostic-performance metrics; none employed prespecified thresholds, two reported blinding, and none adhered to the Standards for Reporting Diagnostic Accuracy Studies guidelines (STARD). Conclusions: VFI enables detailed characterization of carotid hemodynamics, but the available evidence remains preliminary and does not establish clinical utility. Standardized, adequately powered studies with external validation are required before clinical implementation.
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Henriksen et al. (2026) conducted a systematic review in Carotid artery stenosis (n=2,353). Vector flow imaging vs. Conventional Doppler ultrasound or other imaging modalities was evaluated on Application, validity, and outcomes of vector flow imaging for assessing carotid artery stenosis. Vector flow imaging enables detailed characterization of carotid hemodynamics, but current evidence is preliminary and does not establish clinical utility.
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