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Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance
Intracranial artery dissection (IAD) often causes headache and cerebral vascular ischemic events. The imaging characteristics of IAD remain unclear. This study aims to characterize the appearance of culprit and non-culprit IAD using high-resolution cardiovascular magnetic resonance imaging (hrCMR) a...
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Published in: | Journal of cardiovascular magnetic resonance 2021-06, Vol.23 (1), p.74-74, Article 74 |
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description | Intracranial artery dissection (IAD) often causes headache and cerebral vascular ischemic events. The imaging characteristics of IAD remain unclear. This study aims to characterize the appearance of culprit and non-culprit IAD using high-resolution cardiovascular magnetic resonance imaging (hrCMR) and quantify the incremental value of hrCMR in identifying higher risk lesions.
Imaging data from patients who underwent intervention examination or treatment using digital subtraction angiography (DSA) and hrCMR using a 3 T CMR system within 30 days after the onset of neurological symptoms were collected. The CMR protocol included diffusion-weighted imaging (DWI), black blood T1-, T2- and contrast-enhanced T1-weighted sequences. Lesions were classified as culprit and non-culprit according to imaging findings and patient clinical presentations. Univariate and multivariate analyses were performed to assess the difference between culprit and non-culprit lesions and complementary value of hrCMR in identifying higher risk lesions.
In total, 75 patients were included in this study. According to the morphology, lesions could be classified into five types: Type I, classical dissection (n = 50); Type II, fusiform aneurysm (n = 1); Type III, long dissected aneurysm (n = 3); Type IV, dolichoectatic dissecting aneurysm (n = 9) and Type V, saccular aneurysm (n = 12). Regression analyses showed that age and hypertension were both associated with culprit lesions (age: OR, 0.83; 95% CI 0.75-0.92; p |
doi_str_mv | 10.1186/s12968-021-00766-9 |
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Imaging data from patients who underwent intervention examination or treatment using digital subtraction angiography (DSA) and hrCMR using a 3 T CMR system within 30 days after the onset of neurological symptoms were collected. The CMR protocol included diffusion-weighted imaging (DWI), black blood T1-, T2- and contrast-enhanced T1-weighted sequences. Lesions were classified as culprit and non-culprit according to imaging findings and patient clinical presentations. Univariate and multivariate analyses were performed to assess the difference between culprit and non-culprit lesions and complementary value of hrCMR in identifying higher risk lesions.
In total, 75 patients were included in this study. According to the morphology, lesions could be classified into five types: Type I, classical dissection (n = 50); Type II, fusiform aneurysm (n = 1); Type III, long dissected aneurysm (n = 3); Type IV, dolichoectatic dissecting aneurysm (n = 9) and Type V, saccular aneurysm (n = 12). Regression analyses showed that age and hypertension were both associated with culprit lesions (age: OR, 0.83; 95% CI 0.75-0.92; p < 0.001 and hypertension: OR, 66.62; 95% CI 5.91-751.11; p = 0.001). Hematoma identified by hrCMR was significantly associated with culprit lesions (OR, 16.80; 95% CI 1.01-280.81; p = 0.037). Moreover, 17 cases (16 lesions were judged to be culprit) were diagnosed as IAD but not visible in DSA and 15 were Type I lesion.
hrCMR is helpful in visualizing and characterizing IAD. It provides a significant complementary value over DSA for the diagnosis of IAD.</description><identifier>ISSN: 1097-6647</identifier><identifier>EISSN: 1532-429X</identifier><identifier>DOI: 10.1186/s12968-021-00766-9</identifier><identifier>PMID: 34120627</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Aneurysm ; Aneurysms ; Angiography ; Aortic Dissection - diagnostic imaging ; Arteries ; Atherosclerosis ; Blood circulation disorders ; Cardiovascular magnetic resonance ; Care and treatment ; Diabetes ; Diagnostic imaging ; Digital imaging ; Dissection ; Drunk driving ; Hematoma ; High resolution ; Humans ; Hypertension ; Image resolution ; Intracranial artery dissection ; Intramural hematoma ; Ischemia ; Lesions ; Magnetic Resonance Angiography ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Medical imaging ; Medical research ; Medicine, Experimental ; Morphology ; MRI ; Patients ; Predictive Value of Tests ; Reproducibility ; Resonance ; Risk ; Saccule ; Statistical analysis ; Stroke ; Surgery ; Transient ischemic attack ; Veins & arteries</subject><ispartof>Journal of cardiovascular magnetic resonance, 2021-06, Vol.23 (1), p.74-74, Article 74</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://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><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c594t-592c93f5ac830d68c9e456ac73ee27f6be4fb5d49858dbcbdac7fc74fc5a33eb3</citedby><cites>FETCH-LOGICAL-c594t-592c93f5ac830d68c9e456ac73ee27f6be4fb5d49858dbcbdac7fc74fc5a33eb3</cites><orcidid>0000-0003-2446-4363</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201847/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2543484812?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34120627$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shi, Zhang</creatorcontrib><creatorcontrib>Tian, Xia</creatorcontrib><creatorcontrib>Tian, Bing</creatorcontrib><creatorcontrib>Meddings, Zakaria</creatorcontrib><creatorcontrib>Zhang, Xuefeng</creatorcontrib><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Saloner, David</creatorcontrib><creatorcontrib>Liu, Qi</creatorcontrib><creatorcontrib>Teng, Zhongzhao</creatorcontrib><creatorcontrib>Lu, Jianping</creatorcontrib><title>Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance</title><title>Journal of cardiovascular magnetic resonance</title><addtitle>J Cardiovasc Magn Reson</addtitle><description>Intracranial artery dissection (IAD) often causes headache and cerebral vascular ischemic events. The imaging characteristics of IAD remain unclear. This study aims to characterize the appearance of culprit and non-culprit IAD using high-resolution cardiovascular magnetic resonance imaging (hrCMR) and quantify the incremental value of hrCMR in identifying higher risk lesions.
Imaging data from patients who underwent intervention examination or treatment using digital subtraction angiography (DSA) and hrCMR using a 3 T CMR system within 30 days after the onset of neurological symptoms were collected. The CMR protocol included diffusion-weighted imaging (DWI), black blood T1-, T2- and contrast-enhanced T1-weighted sequences. Lesions were classified as culprit and non-culprit according to imaging findings and patient clinical presentations. Univariate and multivariate analyses were performed to assess the difference between culprit and non-culprit lesions and complementary value of hrCMR in identifying higher risk lesions.
In total, 75 patients were included in this study. According to the morphology, lesions could be classified into five types: Type I, classical dissection (n = 50); Type II, fusiform aneurysm (n = 1); Type III, long dissected aneurysm (n = 3); Type IV, dolichoectatic dissecting aneurysm (n = 9) and Type V, saccular aneurysm (n = 12). Regression analyses showed that age and hypertension were both associated with culprit lesions (age: OR, 0.83; 95% CI 0.75-0.92; p < 0.001 and hypertension: OR, 66.62; 95% CI 5.91-751.11; p = 0.001). Hematoma identified by hrCMR was significantly associated with culprit lesions (OR, 16.80; 95% CI 1.01-280.81; p = 0.037). Moreover, 17 cases (16 lesions were judged to be culprit) were diagnosed as IAD but not visible in DSA and 15 were Type I lesion.
hrCMR is helpful in visualizing and characterizing IAD. It provides a significant complementary value over DSA for the diagnosis of IAD.</description><subject>Aneurysm</subject><subject>Aneurysms</subject><subject>Angiography</subject><subject>Aortic Dissection - diagnostic imaging</subject><subject>Arteries</subject><subject>Atherosclerosis</subject><subject>Blood circulation disorders</subject><subject>Cardiovascular magnetic resonance</subject><subject>Care and treatment</subject><subject>Diabetes</subject><subject>Diagnostic imaging</subject><subject>Digital imaging</subject><subject>Dissection</subject><subject>Drunk driving</subject><subject>Hematoma</subject><subject>High resolution</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Image resolution</subject><subject>Intracranial artery dissection</subject><subject>Intramural hematoma</subject><subject>Ischemia</subject><subject>Lesions</subject><subject>Magnetic Resonance Angiography</subject><subject>Magnetic Resonance Imaging</subject><subject>Magnetic Resonance Spectroscopy</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Morphology</subject><subject>MRI</subject><subject>Patients</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility</subject><subject>Resonance</subject><subject>Risk</subject><subject>Saccule</subject><subject>Statistical analysis</subject><subject>Stroke</subject><subject>Surgery</subject><subject>Transient ischemic attack</subject><subject>Veins & arteries</subject><issn>1097-6647</issn><issn>1532-429X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkt9qFDEUxgdRbK2-gBcyIBRvpiaZTDK5EUrxz0LBGwXvQubkZDd1NqnJTKHv4QOb2W1rVyQXCed83w_OyVdVryk5o7QX7zNlSvQNYbQhRArRqCfVMe1a1nCmfjwtb6JkIwSXR9WLnK8IoUoS-bw6ajllRDB5XP1eWQyTdx7M5GOoo6s3fr2pk88_axh9KI2xNsHWfmvWPqxrh2aaE-baxVT7MCUDyQS_qNKE6ba2PmeEHW3Oi2MBNsURx3lXBZOsjzcmwzyaVBduwMlDvUiCCYAvq2fOjBlf3d0n1fdPH79dfGkuv35eXZxfNtApPjWdYqBa1xnoW2JFDwp5JwzIFpFJJwbkbugsV33X2wEGW1oOJHfQmbbFoT2pVnuujeZKX6cyYrrV0Xi9K8S01mUmDyNqqgT0hvYclOWGwTB0SAdOgAqUYBfWhz3reh62aAGXzYwH0MNO8Bu9jje6Z6RgZQG8uwOk-GvGPOmtz4DjaALGOWvWcSIZpaIv0rf_SK_inEJZ1aJqec97yv6q1qYM4IOLy18tUH0uRMeZaFVXVGf_UZVjceshBnS-1A8Mp48MGzTjtLn_2nwoZHshpJhzQvewDEr0EmC9D7AuAda7AGtVTG8er_HBcp_Y9g-vAO-j</recordid><startdate>20210614</startdate><enddate>20210614</enddate><creator>Shi, Zhang</creator><creator>Tian, Xia</creator><creator>Tian, Bing</creator><creator>Meddings, Zakaria</creator><creator>Zhang, Xuefeng</creator><creator>Li, Jing</creator><creator>Saloner, David</creator><creator>Liu, Qi</creator><creator>Teng, Zhongzhao</creator><creator>Lu, Jianping</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>Elsevier</general><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>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2446-4363</orcidid></search><sort><creationdate>20210614</creationdate><title>Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance</title><author>Shi, Zhang ; Tian, Xia ; Tian, Bing ; Meddings, Zakaria ; Zhang, Xuefeng ; Li, Jing ; Saloner, David ; Liu, Qi ; Teng, Zhongzhao ; Lu, Jianping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c594t-592c93f5ac830d68c9e456ac73ee27f6be4fb5d49858dbcbdac7fc74fc5a33eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aneurysm</topic><topic>Aneurysms</topic><topic>Angiography</topic><topic>Aortic Dissection - diagnostic imaging</topic><topic>Arteries</topic><topic>Atherosclerosis</topic><topic>Blood circulation disorders</topic><topic>Cardiovascular magnetic resonance</topic><topic>Care and treatment</topic><topic>Diabetes</topic><topic>Diagnostic imaging</topic><topic>Digital imaging</topic><topic>Dissection</topic><topic>Drunk driving</topic><topic>Hematoma</topic><topic>High resolution</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Image resolution</topic><topic>Intracranial artery dissection</topic><topic>Intramural hematoma</topic><topic>Ischemia</topic><topic>Lesions</topic><topic>Magnetic Resonance Angiography</topic><topic>Magnetic Resonance Imaging</topic><topic>Magnetic Resonance Spectroscopy</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Morphology</topic><topic>MRI</topic><topic>Patients</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility</topic><topic>Resonance</topic><topic>Risk</topic><topic>Saccule</topic><topic>Statistical analysis</topic><topic>Stroke</topic><topic>Surgery</topic><topic>Transient ischemic attack</topic><topic>Veins & arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Zhang</creatorcontrib><creatorcontrib>Tian, Xia</creatorcontrib><creatorcontrib>Tian, Bing</creatorcontrib><creatorcontrib>Meddings, Zakaria</creatorcontrib><creatorcontrib>Zhang, Xuefeng</creatorcontrib><creatorcontrib>Li, Jing</creatorcontrib><creatorcontrib>Saloner, David</creatorcontrib><creatorcontrib>Liu, Qi</creatorcontrib><creatorcontrib>Teng, Zhongzhao</creatorcontrib><creatorcontrib>Lu, Jianping</creatorcontrib><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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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 Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of cardiovascular magnetic resonance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Zhang</au><au>Tian, Xia</au><au>Tian, Bing</au><au>Meddings, Zakaria</au><au>Zhang, Xuefeng</au><au>Li, Jing</au><au>Saloner, David</au><au>Liu, Qi</au><au>Teng, Zhongzhao</au><au>Lu, Jianping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance</atitle><jtitle>Journal of cardiovascular magnetic resonance</jtitle><addtitle>J Cardiovasc Magn Reson</addtitle><date>2021-06-14</date><risdate>2021</risdate><volume>23</volume><issue>1</issue><spage>74</spage><epage>74</epage><pages>74-74</pages><artnum>74</artnum><issn>1097-6647</issn><eissn>1532-429X</eissn><abstract>Intracranial artery dissection (IAD) often causes headache and cerebral vascular ischemic events. The imaging characteristics of IAD remain unclear. This study aims to characterize the appearance of culprit and non-culprit IAD using high-resolution cardiovascular magnetic resonance imaging (hrCMR) and quantify the incremental value of hrCMR in identifying higher risk lesions.
Imaging data from patients who underwent intervention examination or treatment using digital subtraction angiography (DSA) and hrCMR using a 3 T CMR system within 30 days after the onset of neurological symptoms were collected. The CMR protocol included diffusion-weighted imaging (DWI), black blood T1-, T2- and contrast-enhanced T1-weighted sequences. Lesions were classified as culprit and non-culprit according to imaging findings and patient clinical presentations. Univariate and multivariate analyses were performed to assess the difference between culprit and non-culprit lesions and complementary value of hrCMR in identifying higher risk lesions.
In total, 75 patients were included in this study. According to the morphology, lesions could be classified into five types: Type I, classical dissection (n = 50); Type II, fusiform aneurysm (n = 1); Type III, long dissected aneurysm (n = 3); Type IV, dolichoectatic dissecting aneurysm (n = 9) and Type V, saccular aneurysm (n = 12). Regression analyses showed that age and hypertension were both associated with culprit lesions (age: OR, 0.83; 95% CI 0.75-0.92; p < 0.001 and hypertension: OR, 66.62; 95% CI 5.91-751.11; p = 0.001). Hematoma identified by hrCMR was significantly associated with culprit lesions (OR, 16.80; 95% CI 1.01-280.81; p = 0.037). Moreover, 17 cases (16 lesions were judged to be culprit) were diagnosed as IAD but not visible in DSA and 15 were Type I lesion.
hrCMR is helpful in visualizing and characterizing IAD. It provides a significant complementary value over DSA for the diagnosis of IAD.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>34120627</pmid><doi>10.1186/s12968-021-00766-9</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-2446-4363</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aneurysm Aneurysms Angiography Aortic Dissection - diagnostic imaging Arteries Atherosclerosis Blood circulation disorders Cardiovascular magnetic resonance Care and treatment Diabetes Diagnostic imaging Digital imaging Dissection Drunk driving Hematoma High resolution Humans Hypertension Image resolution Intracranial artery dissection Intramural hematoma Ischemia Lesions Magnetic Resonance Angiography Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Medical imaging Medical research Medicine, Experimental Morphology MRI Patients Predictive Value of Tests Reproducibility Resonance Risk Saccule Statistical analysis Stroke Surgery Transient ischemic attack Veins & arteries |
title | Identification of high risk clinical and imaging features for intracranial artery dissection using high-resolution cardiovascular magnetic resonance |
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