Are You Puzzled When Credentialing Entities Ask You for Criteria for External Carotid Artery Stenosis? A Study Correlating Peak Systolic Velocities and Degree of External Carotid Artery Stenosis Based on CT Angiography

2018 ◽  
Vol 42 (4) ◽  
pp. 155-161
Author(s):  
Jing Xu ◽  
Samuel S. Rafla ◽  
Michelle K. Pouria ◽  
Drena Root ◽  
Shannon H. Lyons ◽  
...  

External carotid artery (ECA) disease has been understated in the current literature, likely secondary to the lack of clinical neurological symptoms when this vessel is stenotic. However, vascular ultrasound credentialing entities request the adoption of specific criteria for the assessment of the ECA. Our purpose is to determine the ultrasound criteria for the detection of hemodynamically significant stenosis (50%-99%) using computed tomography angiography (CTA) as the reference standard. We included patients who had a carotid ultrasound and a CTA of the neck performed both within a 12-month period. Ultrasound measurements were reviewed for technical accuracy. CTAs were reassessed to determine the degree of stenosis of the bilateral ECAs adopting the North American Symptomatic Carotid Endarterectomy Trial criteria. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for different peak systolic velocity (PSV) cutoff points to determine the most accurate PSV for detecting 50% to 99% stenosis of the ECA. Receiver operating curve analysis was used to assess diagnostic performance. Of the 536 ECAs included in this study, 13 were noted to be occluded by CTA. Six of these occlusions were accurately detected by ultrasound. There were 82 ECAs with 50% to 99% stenosis on CTA; these vessels had a significantly higher mean PSV compared to ECAs with <50% stenosis (294 vs 122 cm/s) ( P < .0001). A cutoff velocity of ⩾200 cm/s demonstrated a sensitivity, specificity, and overall accuracy of 0.84, 0.93, and 0.91, respectively. Using univariate analysis, smoking was significantly associated with the presence of ⩾50% ECA stenosis. We determined that a PSV cutoff of ⩾200 cm/s showed high sensitivity and specificity for detecting 50% to 99% ECA stenosis based on CTA.

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Matteo Stefanini ◽  
Eleonora Gaspari ◽  
Luca Boi ◽  
Costantino Del Giudice ◽  
Roberta Mastrangeli ◽  
...  

Purpose. To correlate ultrasonographic peak systolic velocity (US-PSV) and 64-row multidetector computed tomography angiography (MDCTA) with advanced vessel analysis (AVA) software in the quantification of 50–70% carotid artery stenosis.Materials and methods. 199 consecutive patients (247 arteries) with internal carotid artery (ICA) or third proximal bifurcation stenosis. Each patient was studied by duplex US (DUS) and 64-row MDCTA with AVA software.Results. DUS showed PSV measurements less than 125 cm/s in 51 carotid stenosis and a value greater than this in 196 arteries. 64-row MDCTA AVA software showed a grade of stenosis less than 50% in 42 carotid arteries while a greater 70% was found in 4 carotid arteries; then, carotid arteries with stenosis percentage between 50% and 70% were 201. Linear regression analysis showed a good linear correlation () between MDCTA-AVA software percentage stenosis and PSV: between 50% grade of stenosis and PSV value corresponding to 133,6 cm/sec and between 70% stenosis and PSV value corresponding to 268 cm/sec. The sensitivity, specificity, positive predictive value(PPV), negative predictive value(NPV) of this analysis were 93%, 82%, 97%, 75%, respectively.Conclusion. Linear correlation between PSV data and grade of stenosis from 50% to 70% obtained with 64-row MDCTA AVA software. Main PSV value corresponding to 50% and 70% grade of stenosis at AVA analysis.


2002 ◽  
Vol 116 (12) ◽  
pp. 1053-1054 ◽  
Author(s):  
Furrat Amen ◽  
Amer A. Amen

We report the case of a 75-year-old man who presented with an ischaemic tongue. He was known to have external carotid artery stenosis and a history of a transient ischaemic attack. He was treated with a heparin infusion and the tongue healed well.


2010 ◽  
Vol 50 (11) ◽  
pp. 1001-1005 ◽  
Author(s):  
Toru YAMAGATA ◽  
Yutaka MITSUHASHI ◽  
Akimasa NISHIO ◽  
Taichiro KAWAKAMI ◽  
Masaki YOSHIMURA ◽  
...  

2011 ◽  
Vol 77 (11) ◽  
pp. 238-239
Author(s):  
Amit J. Dwivedi ◽  
Andrea E. Yancey ◽  
Charles B. Ross ◽  
Marvin E. Morris

2005 ◽  
Vol 42 (6) ◽  
pp. 1210-1212 ◽  
Author(s):  
Joshua A. Eisenberg ◽  
Paul J. Dimuzio ◽  
Anthony Carabasi ◽  
Robert Larson ◽  
Joseph V. Lombardi

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