Correlation between Ultrasound Peak Systolic Velocity and Angiography for Grading Internal Carotid Artery Stenosis
(1) Background: The success of carotid revascularization depends on the accurate grading of carotid stenoses. Therefore, it is important for every vascular center to establish its protocols for the same. In this study, we aimed to determine the peak systolic velocity (PSV) thresholds that can predic...
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creator | Tătaru, Dan-Alexandru Olinic, Maria Homorodean, Călin Ober, Mihai-Claudiu Spînu, Mihail Lazăr, Florin-Leontin Onea, Laurențiu Olinic, Dan-Mircea |
description | (1) Background: The success of carotid revascularization depends on the accurate grading of carotid stenoses. Therefore, it is important for every vascular center to establish its protocols for the same. In this study, we aimed to determine the peak systolic velocity (PSV) thresholds that can predict moderate and severe internal carotid artery (ICA) stenoses. (2) Methods: To achieve this, we enrolled patients who underwent both duplex ultrasound (DUS) and invasive carotid artery digital subtraction angiography (DSA). The degree of ICA stenosis was assessed using the North American Symptomatic Carotid Endarterectomy Trial (NASCET) and the European Carotid Surgery Trial (ECST) protocols. The PSV thresholds were determined using receiver operating characteristic (ROC) curves. (3) Results: Our study included 47 stenoses, and we found that the PSV cut-off for predicting ≥70% NASCET ICA stenoses was 200 cm/s (sensitivity 90.32%, specificity 93.75%). However, PSV did not correlate significantly with ≥50% NASCET ICA stenoses. On the other hand, the optimal PSV threshold for predicting ≥80% ECST ICA stenoses was 180 cm/s (sensitivity 100%, specificity 81.82%). (4) Conclusions: Based on our findings, we concluded that PSV is a good and simple marker for the identification of severe stenoses. We found that PSV values correlate significantly with severe NASCET and ECST stenoses, with 200 cm/s and 180 cm/s PSV thresholds. However, PSV was not reliable with moderate NASCET stenoses. In such cases, complementary imaging should be used. |
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Therefore, it is important for every vascular center to establish its protocols for the same. In this study, we aimed to determine the peak systolic velocity (PSV) thresholds that can predict moderate and severe internal carotid artery (ICA) stenoses. (2) Methods: To achieve this, we enrolled patients who underwent both duplex ultrasound (DUS) and invasive carotid artery digital subtraction angiography (DSA). The degree of ICA stenosis was assessed using the North American Symptomatic Carotid Endarterectomy Trial (NASCET) and the European Carotid Surgery Trial (ECST) protocols. The PSV thresholds were determined using receiver operating characteristic (ROC) curves. (3) Results: Our study included 47 stenoses, and we found that the PSV cut-off for predicting ≥70% NASCET ICA stenoses was 200 cm/s (sensitivity 90.32%, specificity 93.75%). However, PSV did not correlate significantly with ≥50% NASCET ICA stenoses. On the other hand, the optimal PSV threshold for predicting ≥80% ECST ICA stenoses was 180 cm/s (sensitivity 100%, specificity 81.82%). (4) Conclusions: Based on our findings, we concluded that PSV is a good and simple marker for the identification of severe stenoses. We found that PSV values correlate significantly with severe NASCET and ECST stenoses, with 200 cm/s and 180 cm/s PSV thresholds. However, PSV was not reliable with moderate NASCET stenoses. In such cases, complementary imaging should be used.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13020517</identifier><identifier>PMID: 38256651</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Angiography ; Cardiology ; Carotid arteries ; Diagnostic tests ; Ischemia ; Laboratories ; Medical imaging ; Patients ; Statistical analysis ; Stenosis ; Stroke ; Ultrasonic imaging ; Vein & artery diseases ; Velocity</subject><ispartof>Journal of clinical medicine, 2024-01, Vol.13 (2), p.517</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-ca6f60743cbf2131fd4730f3d033822355cfeda2a3eb29ed782c3f14ed3919903</citedby><cites>FETCH-LOGICAL-c421t-ca6f60743cbf2131fd4730f3d033822355cfeda2a3eb29ed782c3f14ed3919903</cites><orcidid>0000-0002-6203-0825 ; 0000-0002-1886-9375 ; 0000-0002-3010-5650 ; 0000-0002-8819-7690</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38256651$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tătaru, Dan-Alexandru</creatorcontrib><creatorcontrib>Olinic, Maria</creatorcontrib><creatorcontrib>Homorodean, Călin</creatorcontrib><creatorcontrib>Ober, Mihai-Claudiu</creatorcontrib><creatorcontrib>Spînu, Mihail</creatorcontrib><creatorcontrib>Lazăr, Florin-Leontin</creatorcontrib><creatorcontrib>Onea, Laurențiu</creatorcontrib><creatorcontrib>Olinic, Dan-Mircea</creatorcontrib><title>Correlation between Ultrasound Peak Systolic Velocity and Angiography for Grading Internal Carotid Artery Stenosis</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>(1) Background: The success of carotid revascularization depends on the accurate grading of carotid stenoses. Therefore, it is important for every vascular center to establish its protocols for the same. In this study, we aimed to determine the peak systolic velocity (PSV) thresholds that can predict moderate and severe internal carotid artery (ICA) stenoses. (2) Methods: To achieve this, we enrolled patients who underwent both duplex ultrasound (DUS) and invasive carotid artery digital subtraction angiography (DSA). The degree of ICA stenosis was assessed using the North American Symptomatic Carotid Endarterectomy Trial (NASCET) and the European Carotid Surgery Trial (ECST) protocols. The PSV thresholds were determined using receiver operating characteristic (ROC) curves. (3) Results: Our study included 47 stenoses, and we found that the PSV cut-off for predicting ≥70% NASCET ICA stenoses was 200 cm/s (sensitivity 90.32%, specificity 93.75%). However, PSV did not correlate significantly with ≥50% NASCET ICA stenoses. On the other hand, the optimal PSV threshold for predicting ≥80% ECST ICA stenoses was 180 cm/s (sensitivity 100%, specificity 81.82%). (4) Conclusions: Based on our findings, we concluded that PSV is a good and simple marker for the identification of severe stenoses. We found that PSV values correlate significantly with severe NASCET and ECST stenoses, with 200 cm/s and 180 cm/s PSV thresholds. However, PSV was not reliable with moderate NASCET stenoses. In such cases, complementary imaging should be used.</description><subject>Angiography</subject><subject>Cardiology</subject><subject>Carotid arteries</subject><subject>Diagnostic tests</subject><subject>Ischemia</subject><subject>Laboratories</subject><subject>Medical imaging</subject><subject>Patients</subject><subject>Statistical analysis</subject><subject>Stenosis</subject><subject>Stroke</subject><subject>Ultrasonic imaging</subject><subject>Vein & artery diseases</subject><subject>Velocity</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkdFvFCEQxonR2Kb2yXdD4ouJuQrM7bL7eLlobdJEk1pfNxwMJycLJ7Ax-9_L2qrVCA9Mht_MfPAR8pyzC4CevTnokQMTrOHyETkVTMoVgw4eP4hPyHnOB1ZX160Fl0_JCXSiaduGn5K0jSmhV8XFQHdYviMGeutLUjlOwdCPqL7SmzmX6J2mn9FH7cpMVb3ahL2L-6SOX2ZqY6KXSRkX9vQqFExBebpVKRZXwVQTM70pGGJ2-Rl5YpXPeH5_npHbd28_bd-vrj9cXm031ytdVZaVVq1tmVyD3lnBgVuzlsAsGAZVvoCm0RaNEgpwJ3o0shMaLF-jgZ73PYMz8uqu7zHFbxPmMowua_ReBYxTHkTPZdfKRizoy3_QQ5yWN_ykOinrxPYPtVceBxdsrN-kl6bDRnZswWChLv5D1W1wdDoGtK7m_yp4fVegU8w5oR2OyY0qzQNnw2Ly8MDkSr-4lzrtRjS_2V-Wwg8cxaC4</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Tătaru, Dan-Alexandru</creator><creator>Olinic, Maria</creator><creator>Homorodean, Călin</creator><creator>Ober, Mihai-Claudiu</creator><creator>Spînu, Mihail</creator><creator>Lazăr, Florin-Leontin</creator><creator>Onea, Laurențiu</creator><creator>Olinic, Dan-Mircea</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6203-0825</orcidid><orcidid>https://orcid.org/0000-0002-1886-9375</orcidid><orcidid>https://orcid.org/0000-0002-3010-5650</orcidid><orcidid>https://orcid.org/0000-0002-8819-7690</orcidid></search><sort><creationdate>20240101</creationdate><title>Correlation between Ultrasound Peak Systolic Velocity and Angiography for Grading Internal Carotid Artery Stenosis</title><author>Tătaru, Dan-Alexandru ; Olinic, Maria ; Homorodean, Călin ; Ober, Mihai-Claudiu ; Spînu, Mihail ; Lazăr, Florin-Leontin ; Onea, Laurențiu ; Olinic, Dan-Mircea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-ca6f60743cbf2131fd4730f3d033822355cfeda2a3eb29ed782c3f14ed3919903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Angiography</topic><topic>Cardiology</topic><topic>Carotid arteries</topic><topic>Diagnostic tests</topic><topic>Ischemia</topic><topic>Laboratories</topic><topic>Medical imaging</topic><topic>Patients</topic><topic>Statistical analysis</topic><topic>Stenosis</topic><topic>Stroke</topic><topic>Ultrasonic imaging</topic><topic>Vein & artery diseases</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tătaru, Dan-Alexandru</creatorcontrib><creatorcontrib>Olinic, Maria</creatorcontrib><creatorcontrib>Homorodean, Călin</creatorcontrib><creatorcontrib>Ober, Mihai-Claudiu</creatorcontrib><creatorcontrib>Spînu, Mihail</creatorcontrib><creatorcontrib>Lazăr, Florin-Leontin</creatorcontrib><creatorcontrib>Onea, Laurențiu</creatorcontrib><creatorcontrib>Olinic, Dan-Mircea</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tătaru, Dan-Alexandru</au><au>Olinic, Maria</au><au>Homorodean, Călin</au><au>Ober, Mihai-Claudiu</au><au>Spînu, Mihail</au><au>Lazăr, Florin-Leontin</au><au>Onea, Laurențiu</au><au>Olinic, Dan-Mircea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation between Ultrasound Peak Systolic Velocity and Angiography for Grading Internal Carotid Artery Stenosis</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>13</volume><issue>2</issue><spage>517</spage><pages>517-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>(1) Background: The success of carotid revascularization depends on the accurate grading of carotid stenoses. Therefore, it is important for every vascular center to establish its protocols for the same. In this study, we aimed to determine the peak systolic velocity (PSV) thresholds that can predict moderate and severe internal carotid artery (ICA) stenoses. (2) Methods: To achieve this, we enrolled patients who underwent both duplex ultrasound (DUS) and invasive carotid artery digital subtraction angiography (DSA). The degree of ICA stenosis was assessed using the North American Symptomatic Carotid Endarterectomy Trial (NASCET) and the European Carotid Surgery Trial (ECST) protocols. The PSV thresholds were determined using receiver operating characteristic (ROC) curves. (3) Results: Our study included 47 stenoses, and we found that the PSV cut-off for predicting ≥70% NASCET ICA stenoses was 200 cm/s (sensitivity 90.32%, specificity 93.75%). However, PSV did not correlate significantly with ≥50% NASCET ICA stenoses. On the other hand, the optimal PSV threshold for predicting ≥80% ECST ICA stenoses was 180 cm/s (sensitivity 100%, specificity 81.82%). (4) Conclusions: Based on our findings, we concluded that PSV is a good and simple marker for the identification of severe stenoses. We found that PSV values correlate significantly with severe NASCET and ECST stenoses, with 200 cm/s and 180 cm/s PSV thresholds. However, PSV was not reliable with moderate NASCET stenoses. In such cases, complementary imaging should be used.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38256651</pmid><doi>10.3390/jcm13020517</doi><orcidid>https://orcid.org/0000-0002-6203-0825</orcidid><orcidid>https://orcid.org/0000-0002-1886-9375</orcidid><orcidid>https://orcid.org/0000-0002-3010-5650</orcidid><orcidid>https://orcid.org/0000-0002-8819-7690</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Angiography Cardiology Carotid arteries Diagnostic tests Ischemia Laboratories Medical imaging Patients Statistical analysis Stenosis Stroke Ultrasonic imaging Vein & artery diseases Velocity |
title | Correlation between Ultrasound Peak Systolic Velocity and Angiography for Grading Internal Carotid Artery Stenosis |
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