Diagnostic performance of vector flow imaging–derived wall shear stress and radiofrequency echo-tracking–derived arterial stiffness indices in severe carotid stenosis

Purpose: This 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.Methods: This 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.Results: Among 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.Conclusion: VFI-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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ULTRASONOGRAPHY
Published
2026-04-17
DOI
https://doi.org/10.14366/usg.25195
Primary Topic
Cerebrovascular and Carotid Artery Diseases
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article
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article

Diagnostic performance of vector flow imaging–derived wall shear stress and radiofrequency echo-tracking–derived arterial stiffness indices in severe carotid stenosis

Halit Nahit Şendur, Ahmet Önal, Hale Zeynep Batur Çağlayan, Erhan Ilgıt et al.
ULTRASONOGRAPHY
Cerebrovascular and Carotid Artery Diseases
article

Diagnostic performance of vector flow imaging–derived wall shear stress and radiofrequency echo-tracking–derived arterial stiffness indices in severe carotid stenosis

Halit Nahit Şendur, Ahmet Önal, Hale Zeynep Batur Çağlayan, Erhan Ilgıt, Taylan Altıparmak, Nezih Yayli, Burcu Küçük Biçer, Bijen Nazlıel, Mahi Nur Cerit, Suna Özhan Oktar, Atiye Cenay Karabörk Kılıç, Mehmet Koray Akkan, Fatih Öncü
article en

Abstract

Purpose: This 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.Methods: This 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.Results: Among 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.Conclusion: VFI-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.

ULTRASONOGRAPHYVol. 45(3)
Yozgat Bozok Üniversitesi (TR), Gazi University (TR)
Openalex Percentile: Top 23%
Cerebrovascular and Carotid Artery Diseases
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