The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke
Introduction To improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseas...
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| Veröffentlicht in: | Neurological sciences 2020-05, Vol.41 (5), p.1193-1199 |
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| creator | Tang, Yi Wang, Ming-yu Wu, Tao-tao Zhang, Jian-yu Yang, Ru Zhang, Bo Shi, Ying Meng, Pin Ji, Niu Sun, Yongan Xu, Ying-da Xu, Bing-chao Zhou, Xin-yu He, Xiao-bing Zhang, Guang-hui Niu, Xiao-qin Li, Zai-po Wang, Bei Xu, Bei Cai, Zeng-lin Zhang, Yong-jin He, Ming-li |
| description | Introduction
To improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseases in a prospective study.
Methods
A total of 750 patients with first-time ischemic stroke and hospitalized within 24 h were enrolled in the study. Using color Doppler ultrasound (CDUS), the degree of stenosis and blood flow (BF) in bilateral internal carotid arteries (ICA) and the V1-V3 segment of vertebral arteries (VA) was assessed. Cubic simulation curves for BF and global blood flow (GBF) over the stenosis score (SS), total stenosis score (TSS), and radiological imaging- total stenosis score (RI-TSS) were fitted and compared. The receiver operating characteristic (ROC) curves using TSS, RI-TSS, or GBF to predict various ischemic stroke endpoints were also analyzed and compared.
Results
There was a linear relationship between SS and BF both ICA and VA (R2 were 0.734 and 0.783, respectively, both
P
|
| doi_str_mv | 10.1007/s10072-019-04204-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7196942</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2397178207</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-3f8ba884e0cd3cb3e501efc270fbc110c873a9474b7bcea07f581715cb85e6293</originalsourceid><addsrcrecordid>eNp9kU2LFDEQhoMo7of-AQ_S4MVLa1WSnqQvgiy6CguCrOeQzlTvZO1JxqR7wX9vjTOuHwcvSUg975uqvEI8Q3iFAOZ13a-yBexb0BJ0ax-IU-x6aJU29uHxjNboE3FW6y0AoEb1WJwo7AFR6lPx-XpDTckTNXlsgi95juumzpRyjbVZprn4mpfEd8EzFFMzs2BXaB3DHHPay2ING9rGwLqSv9IT8Wj0U6Wnx_1cfHn_7vriQ3v16fLjxdurNmij51aNdvDWaoKwVmFQ1AHSGKSBcQiIEKxRvmd0MEMgD2bsLBrswmA7WslenYs3B9_dMmxpHShxs5Pblbj15bvLPrq_Kylu3E2-cwb7Va8lG7w8GpT8baE6uy2PQtPkE-WlOqmUWiF_r2b0xT_obV5K4vGY6g0aK8EwJQ9UKLnWQuN9MwhuH5Y7RObY0_2MzFkWPf9zjHvJr4wYUAegcindUPn99n9sfwBRDqKK</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2397178207</pqid></control><display><type>article</type><title>The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Tang, Yi ; Wang, Ming-yu ; Wu, Tao-tao ; Zhang, Jian-yu ; Yang, Ru ; Zhang, Bo ; Shi, Ying ; Meng, Pin ; Ji, Niu ; Sun, Yongan ; Xu, Ying-da ; Xu, Bing-chao ; Zhou, Xin-yu ; He, Xiao-bing ; Zhang, Guang-hui ; Niu, Xiao-qin ; Li, Zai-po ; Wang, Bei ; Xu, Bei ; Cai, Zeng-lin ; Zhang, Yong-jin ; He, Ming-li</creator><creatorcontrib>Tang, Yi ; Wang, Ming-yu ; Wu, Tao-tao ; Zhang, Jian-yu ; Yang, Ru ; Zhang, Bo ; Shi, Ying ; Meng, Pin ; Ji, Niu ; Sun, Yongan ; Xu, Ying-da ; Xu, Bing-chao ; Zhou, Xin-yu ; He, Xiao-bing ; Zhang, Guang-hui ; Niu, Xiao-qin ; Li, Zai-po ; Wang, Bei ; Xu, Bei ; Cai, Zeng-lin ; Zhang, Yong-jin ; He, Ming-li</creatorcontrib><description>Introduction
To improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseases in a prospective study.
Methods
A total of 750 patients with first-time ischemic stroke and hospitalized within 24 h were enrolled in the study. Using color Doppler ultrasound (CDUS), the degree of stenosis and blood flow (BF) in bilateral internal carotid arteries (ICA) and the V1-V3 segment of vertebral arteries (VA) was assessed. Cubic simulation curves for BF and global blood flow (GBF) over the stenosis score (SS), total stenosis score (TSS), and radiological imaging- total stenosis score (RI-TSS) were fitted and compared. The receiver operating characteristic (ROC) curves using TSS, RI-TSS, or GBF to predict various ischemic stroke endpoints were also analyzed and compared.
Results
There was a linear relationship between SS and BF both ICA and VA (R2 were 0.734 and 0.783, respectively, both
P
< 0.05). Both TSS and RI-TSS with GBF showed an inverse “S” curve relationship (R2 was 0.839 and 0.843, all
P
< 0.05). The AUC values of TSS-based and RI-TSS-based predictions of each endpoint were all greater than 0.7 (all
P
< 0.05), but the differences of the AUC values between TSS, RI-TSS, and GBF were not statistically significant (all
P
> 0.05).
Conclusions
The novel CASUS can better reflect the level of cerebral reperfusion in patients with ischemic stroke and can better predict the occurrence of cardiovascular and cerebrovascular diseases.</description><identifier>ISSN: 1590-1874</identifier><identifier>EISSN: 1590-3478</identifier><identifier>DOI: 10.1007/s10072-019-04204-8</identifier><identifier>PMID: 31901124</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aged ; Blood flow ; Carotid artery ; Carotid Artery, Internal - diagnostic imaging ; Carotid Artery, Internal - pathology ; Carotid Stenosis - diagnostic imaging ; Cerebrovascular diseases ; Doppler effect ; Female ; Health risk assessment ; Humans ; Ischemia ; Ischemic Stroke - diagnostic imaging ; Ischemic Stroke - pathology ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; Original ; Original Article ; Prospective Studies ; Psychiatry ; Reperfusion ; Sensitivity and Specificity ; Statistical analysis ; Stenosis ; Stents ; Stroke ; Ultrasonic imaging ; Ultrasonography, Doppler ; Ultrasound ; Vascular diseases ; Vertebrae ; Vertebral Artery - diagnostic imaging ; Vertebral Artery - pathology</subject><ispartof>Neurological sciences, 2020-05, Vol.41 (5), p.1193-1199</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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-c474t-3f8ba884e0cd3cb3e501efc270fbc110c873a9474b7bcea07f581715cb85e6293</citedby><cites>FETCH-LOGICAL-c474t-3f8ba884e0cd3cb3e501efc270fbc110c873a9474b7bcea07f581715cb85e6293</cites><orcidid>0000-0002-1772-8183</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10072-019-04204-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10072-019-04204-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31901124$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Yi</creatorcontrib><creatorcontrib>Wang, Ming-yu</creatorcontrib><creatorcontrib>Wu, Tao-tao</creatorcontrib><creatorcontrib>Zhang, Jian-yu</creatorcontrib><creatorcontrib>Yang, Ru</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Shi, Ying</creatorcontrib><creatorcontrib>Meng, Pin</creatorcontrib><creatorcontrib>Ji, Niu</creatorcontrib><creatorcontrib>Sun, Yongan</creatorcontrib><creatorcontrib>Xu, Ying-da</creatorcontrib><creatorcontrib>Xu, Bing-chao</creatorcontrib><creatorcontrib>Zhou, Xin-yu</creatorcontrib><creatorcontrib>He, Xiao-bing</creatorcontrib><creatorcontrib>Zhang, Guang-hui</creatorcontrib><creatorcontrib>Niu, Xiao-qin</creatorcontrib><creatorcontrib>Li, Zai-po</creatorcontrib><creatorcontrib>Wang, Bei</creatorcontrib><creatorcontrib>Xu, Bei</creatorcontrib><creatorcontrib>Cai, Zeng-lin</creatorcontrib><creatorcontrib>Zhang, Yong-jin</creatorcontrib><creatorcontrib>He, Ming-li</creatorcontrib><title>The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke</title><title>Neurological sciences</title><addtitle>Neurol Sci</addtitle><addtitle>Neurol Sci</addtitle><description>Introduction
To improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseases in a prospective study.
Methods
A total of 750 patients with first-time ischemic stroke and hospitalized within 24 h were enrolled in the study. Using color Doppler ultrasound (CDUS), the degree of stenosis and blood flow (BF) in bilateral internal carotid arteries (ICA) and the V1-V3 segment of vertebral arteries (VA) was assessed. Cubic simulation curves for BF and global blood flow (GBF) over the stenosis score (SS), total stenosis score (TSS), and radiological imaging- total stenosis score (RI-TSS) were fitted and compared. The receiver operating characteristic (ROC) curves using TSS, RI-TSS, or GBF to predict various ischemic stroke endpoints were also analyzed and compared.
Results
There was a linear relationship between SS and BF both ICA and VA (R2 were 0.734 and 0.783, respectively, both
P
< 0.05). Both TSS and RI-TSS with GBF showed an inverse “S” curve relationship (R2 was 0.839 and 0.843, all
P
< 0.05). The AUC values of TSS-based and RI-TSS-based predictions of each endpoint were all greater than 0.7 (all
P
< 0.05), but the differences of the AUC values between TSS, RI-TSS, and GBF were not statistically significant (all
P
> 0.05).
Conclusions
The novel CASUS can better reflect the level of cerebral reperfusion in patients with ischemic stroke and can better predict the occurrence of cardiovascular and cerebrovascular diseases.</description><subject>Aged</subject><subject>Blood flow</subject><subject>Carotid artery</subject><subject>Carotid Artery, Internal - diagnostic imaging</subject><subject>Carotid Artery, Internal - pathology</subject><subject>Carotid Stenosis - diagnostic imaging</subject><subject>Cerebrovascular diseases</subject><subject>Doppler effect</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Ischemia</subject><subject>Ischemic Stroke - diagnostic imaging</subject><subject>Ischemic Stroke - pathology</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>Original</subject><subject>Original Article</subject><subject>Prospective Studies</subject><subject>Psychiatry</subject><subject>Reperfusion</subject><subject>Sensitivity and Specificity</subject><subject>Statistical analysis</subject><subject>Stenosis</subject><subject>Stents</subject><subject>Stroke</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography, Doppler</subject><subject>Ultrasound</subject><subject>Vascular diseases</subject><subject>Vertebrae</subject><subject>Vertebral Artery - diagnostic imaging</subject><subject>Vertebral Artery - pathology</subject><issn>1590-1874</issn><issn>1590-3478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU2LFDEQhoMo7of-AQ_S4MVLa1WSnqQvgiy6CguCrOeQzlTvZO1JxqR7wX9vjTOuHwcvSUg975uqvEI8Q3iFAOZ13a-yBexb0BJ0ax-IU-x6aJU29uHxjNboE3FW6y0AoEb1WJwo7AFR6lPx-XpDTckTNXlsgi95juumzpRyjbVZprn4mpfEd8EzFFMzs2BXaB3DHHPay2ING9rGwLqSv9IT8Wj0U6Wnx_1cfHn_7vriQ3v16fLjxdurNmij51aNdvDWaoKwVmFQ1AHSGKSBcQiIEKxRvmd0MEMgD2bsLBrswmA7WslenYs3B9_dMmxpHShxs5Pblbj15bvLPrq_Kylu3E2-cwb7Va8lG7w8GpT8baE6uy2PQtPkE-WlOqmUWiF_r2b0xT_obV5K4vGY6g0aK8EwJQ9UKLnWQuN9MwhuH5Y7RObY0_2MzFkWPf9zjHvJr4wYUAegcindUPn99n9sfwBRDqKK</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Tang, Yi</creator><creator>Wang, Ming-yu</creator><creator>Wu, Tao-tao</creator><creator>Zhang, Jian-yu</creator><creator>Yang, Ru</creator><creator>Zhang, Bo</creator><creator>Shi, Ying</creator><creator>Meng, Pin</creator><creator>Ji, Niu</creator><creator>Sun, Yongan</creator><creator>Xu, Ying-da</creator><creator>Xu, Bing-chao</creator><creator>Zhou, Xin-yu</creator><creator>He, Xiao-bing</creator><creator>Zhang, Guang-hui</creator><creator>Niu, Xiao-qin</creator><creator>Li, Zai-po</creator><creator>Wang, Bei</creator><creator>Xu, Bei</creator><creator>Cai, Zeng-lin</creator><creator>Zhang, Yong-jin</creator><creator>He, Ming-li</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</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>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1772-8183</orcidid></search><sort><creationdate>20200501</creationdate><title>The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke</title><author>Tang, Yi ; Wang, Ming-yu ; Wu, Tao-tao ; Zhang, Jian-yu ; Yang, Ru ; Zhang, Bo ; Shi, Ying ; Meng, Pin ; Ji, Niu ; Sun, Yongan ; Xu, Ying-da ; Xu, Bing-chao ; Zhou, Xin-yu ; He, Xiao-bing ; Zhang, Guang-hui ; Niu, Xiao-qin ; Li, Zai-po ; Wang, Bei ; Xu, Bei ; Cai, Zeng-lin ; Zhang, Yong-jin ; He, Ming-li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-3f8ba884e0cd3cb3e501efc270fbc110c873a9474b7bcea07f581715cb85e6293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Blood flow</topic><topic>Carotid artery</topic><topic>Carotid Artery, Internal - diagnostic imaging</topic><topic>Carotid Artery, Internal - pathology</topic><topic>Carotid Stenosis - diagnostic imaging</topic><topic>Cerebrovascular diseases</topic><topic>Doppler effect</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Ischemia</topic><topic>Ischemic Stroke - diagnostic imaging</topic><topic>Ischemic Stroke - pathology</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>Original</topic><topic>Original Article</topic><topic>Prospective Studies</topic><topic>Psychiatry</topic><topic>Reperfusion</topic><topic>Sensitivity and Specificity</topic><topic>Statistical analysis</topic><topic>Stenosis</topic><topic>Stents</topic><topic>Stroke</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography, Doppler</topic><topic>Ultrasound</topic><topic>Vascular diseases</topic><topic>Vertebrae</topic><topic>Vertebral Artery - diagnostic imaging</topic><topic>Vertebral Artery - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Yi</creatorcontrib><creatorcontrib>Wang, Ming-yu</creatorcontrib><creatorcontrib>Wu, Tao-tao</creatorcontrib><creatorcontrib>Zhang, Jian-yu</creatorcontrib><creatorcontrib>Yang, Ru</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Shi, Ying</creatorcontrib><creatorcontrib>Meng, Pin</creatorcontrib><creatorcontrib>Ji, Niu</creatorcontrib><creatorcontrib>Sun, Yongan</creatorcontrib><creatorcontrib>Xu, Ying-da</creatorcontrib><creatorcontrib>Xu, Bing-chao</creatorcontrib><creatorcontrib>Zhou, Xin-yu</creatorcontrib><creatorcontrib>He, Xiao-bing</creatorcontrib><creatorcontrib>Zhang, Guang-hui</creatorcontrib><creatorcontrib>Niu, Xiao-qin</creatorcontrib><creatorcontrib>Li, Zai-po</creatorcontrib><creatorcontrib>Wang, Bei</creatorcontrib><creatorcontrib>Xu, Bei</creatorcontrib><creatorcontrib>Cai, Zeng-lin</creatorcontrib><creatorcontrib>Zhang, Yong-jin</creatorcontrib><creatorcontrib>He, Ming-li</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neurological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Yi</au><au>Wang, Ming-yu</au><au>Wu, Tao-tao</au><au>Zhang, Jian-yu</au><au>Yang, Ru</au><au>Zhang, Bo</au><au>Shi, Ying</au><au>Meng, Pin</au><au>Ji, Niu</au><au>Sun, Yongan</au><au>Xu, Ying-da</au><au>Xu, Bing-chao</au><au>Zhou, Xin-yu</au><au>He, Xiao-bing</au><au>Zhang, Guang-hui</au><au>Niu, Xiao-qin</au><au>Li, Zai-po</au><au>Wang, Bei</au><au>Xu, Bei</au><au>Cai, Zeng-lin</au><au>Zhang, Yong-jin</au><au>He, Ming-li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke</atitle><jtitle>Neurological sciences</jtitle><stitle>Neurol Sci</stitle><addtitle>Neurol Sci</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>41</volume><issue>5</issue><spage>1193</spage><epage>1199</epage><pages>1193-1199</pages><issn>1590-1874</issn><eissn>1590-3478</eissn><abstract>Introduction
To improve the accuracy of ultrasound techniques for the assessment of carotid stenosis, we designed a novel carotid artery stenosis ultrasound scale (CASUS), and evaluated its accuracy, reliability, and its value in predicting the occurrence of cardiovascular and cerebrovascular diseases in a prospective study.
Methods
A total of 750 patients with first-time ischemic stroke and hospitalized within 24 h were enrolled in the study. Using color Doppler ultrasound (CDUS), the degree of stenosis and blood flow (BF) in bilateral internal carotid arteries (ICA) and the V1-V3 segment of vertebral arteries (VA) was assessed. Cubic simulation curves for BF and global blood flow (GBF) over the stenosis score (SS), total stenosis score (TSS), and radiological imaging- total stenosis score (RI-TSS) were fitted and compared. The receiver operating characteristic (ROC) curves using TSS, RI-TSS, or GBF to predict various ischemic stroke endpoints were also analyzed and compared.
Results
There was a linear relationship between SS and BF both ICA and VA (R2 were 0.734 and 0.783, respectively, both
P
< 0.05). Both TSS and RI-TSS with GBF showed an inverse “S” curve relationship (R2 was 0.839 and 0.843, all
P
< 0.05). The AUC values of TSS-based and RI-TSS-based predictions of each endpoint were all greater than 0.7 (all
P
< 0.05), but the differences of the AUC values between TSS, RI-TSS, and GBF were not statistically significant (all
P
> 0.05).
Conclusions
The novel CASUS can better reflect the level of cerebral reperfusion in patients with ischemic stroke and can better predict the occurrence of cardiovascular and cerebrovascular diseases.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>31901124</pmid><doi>10.1007/s10072-019-04204-8</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-1772-8183</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; SpringerLink Journals |
| subjects | Aged Blood flow Carotid artery Carotid Artery, Internal - diagnostic imaging Carotid Artery, Internal - pathology Carotid Stenosis - diagnostic imaging Cerebrovascular diseases Doppler effect Female Health risk assessment Humans Ischemia Ischemic Stroke - diagnostic imaging Ischemic Stroke - pathology Male Medicine Medicine & Public Health Middle Aged Neurology Neuroradiology Neurosciences Neurosurgery Original Original Article Prospective Studies Psychiatry Reperfusion Sensitivity and Specificity Statistical analysis Stenosis Stents Stroke Ultrasonic imaging Ultrasonography, Doppler Ultrasound Vascular diseases Vertebrae Vertebral Artery - diagnostic imaging Vertebral Artery - pathology |
| title | The role of carotid stenosis ultrasound scale in the prediction of ischemic stroke |
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