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<meta name="DC.Title" content="CT Perfusion Quantification of Small-Vessel Ischemic Severity" />
<meta name="DC.Identifier" content="10.3174/ajnr.A1238" />
<meta name="DC.Date" content="2008-11-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
<meta name="DC.Rights" content="Copyright © American Society of Neuroradiology" />
<meta name="DC.AccessRights" content="restricted" />
<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Cerebral blood flow (CBF) abnormalities are previously demonstrated in white matter disease. A gradation of change may exist between patients with mild and more severe white matter disease. An association between blood brain barrier dysfunction, increasing age and white matter disease is also suggested. The purpose of this study was to quantify and correlate white matter disease severity and CT perfusion (CTP)-derived CBF and to determine whether permeability surface abnormality increases with white matter disease severity.

MATERIALS AND METHODS: One hundred twenty patients with strokelike symptoms underwent CTP and MR imaging. Of these, 35 patients (15 women, 20 men; age, 66 ± 15.7 years) with rapidly resolving symptoms and normal imaging characteristics consistent with transient ischemic attack were retrospectively reviewed and constituted the study cohort. Two blinded neurologists rated white matter severity, assigning age-related white matter change (ARWMC) scores. Patients were dichotomized a priori into mild and moderate-to-severe. CBF, cerebral blood volume (CBV), mean transit time (MTT), and permeability surface product maps were calculated for periventricular and subcortical white matter regions and average white and gray matter. Associations with white matter severity were tested by uni- and multivariate logistic regression analyses. Receiver operating characteristic analysis was performed.

RESULTS: White matter disease was mild in 26 patients and moderate-to-severe in 9. Age was associated with increased likelihood of having moderate-to-severe white matter disease ( P = .02). ARWMC correlated with subcortical ( r = −0.50, P &lt; .001) and average CBF ( r = −0.55, P &lt; .001). White matter severity was associated with subcortical ( P = .03) and average ( P = .03) white matter CBF, with a trend toward periventricular white matter CBF ( P = .05). Uni- and multivariate analysis controlling for the confounding effect of age demonstrated significant association between white matter severity and subcortical ( P = .032) white matter CBF. Area under the curve was 0.82. No permeability surface abnormality was found.

CONCLUSIONS: CTP-derived subcortical white matter CBF is independently associated with white matter disease severity." />
<meta name="DC.Contributor" content="T.J. Huynh" />
<meta name="DC.Contributor" content="B. Murphy" />
<meta name="DC.Contributor" content="J.A. Pettersen" />
<meta name="DC.Contributor" content="H. Tu" />
<meta name="DC.Contributor" content="D.J. Sahlas" />
<meta name="DC.Contributor" content="L. Zhang" />
<meta name="DC.Contributor" content="S.P. Symons" />
<meta name="DC.Contributor" content="S. Black" />
<meta name="DC.Contributor" content="T.-Y. Lee" />
<meta name="DC.Contributor" content="R.I. Aviv" />
<meta name="article:published_time" content="2008-11-01" />
<meta name="article:section" content="BRAIN" />
<meta name="citation_title" content="CT Perfusion Quantification of Small-Vessel Ischemic Severity" />
<meta name="citation_abstract" lang="en" content="&lt;p&gt;&lt;b&gt;BACKGROUND AND PURPOSE:&lt;/b&gt; Cerebral blood flow (CBF) abnormalities are previously demonstrated in white matter disease. A gradation of change may exist between patients with mild and more severe white matter disease. An association between blood brain barrier dysfunction, increasing age and white matter disease is also suggested. The purpose of this study was to quantify and correlate white matter disease severity and CT perfusion (CTP)-derived CBF and to determine whether permeability surface abnormality increases with white matter disease severity.&lt;/p&gt;&lt;p&gt;&lt;b&gt;MATERIALS AND METHODS:&lt;/b&gt; One hundred twenty patients with strokelike symptoms underwent CTP and MR imaging. Of these, 35 patients (15 women, 20 men; age, 66 ± 15.7 years) with rapidly resolving symptoms and normal imaging characteristics consistent with transient ischemic attack were retrospectively reviewed and constituted the study cohort. Two blinded neurologists rated white matter severity, assigning age-related white matter change (ARWMC) scores. Patients were dichotomized a priori into mild and moderate-to-severe. CBF, cerebral blood volume (CBV), mean transit time (MTT), and permeability surface product maps were calculated for periventricular and subcortical white matter regions and average white and gray matter. Associations with white matter severity were tested by uni- and multivariate logistic regression analyses. Receiver operating characteristic analysis was performed.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS:&lt;/b&gt; White matter disease was mild in 26 patients and moderate-to-severe in 9. Age was associated with increased likelihood of having moderate-to-severe white matter disease (&lt;i&gt;P&lt;/i&gt; = .02). ARWMC correlated with subcortical (&lt;i&gt;r&lt;/i&gt; = −0.50, &lt;i&gt;P&lt;/i&gt; &amp;lt; .001) and average CBF (&lt;i&gt;r&lt;/i&gt; = −0.55, &lt;i&gt;P&lt;/i&gt; &amp;lt; .001). White matter severity was associated with subcortical (&lt;i&gt;P&lt;/i&gt; = .03) and average (&lt;i&gt;P&lt;/i&gt; = .03) white matter CBF, with a trend toward periventricular white matter CBF (&lt;i&gt;P&lt;/i&gt; = .05). Uni- and multivariate analysis controlling for the confounding effect of age demonstrated significant association between white matter severity and subcortical (&lt;i&gt;P&lt;/i&gt; = .032) white matter CBF. Area under the curve was 0.82. No permeability surface abnormality was found.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSIONS:&lt;/b&gt; CTP-derived subcortical white matter CBF is independently associated with white matter disease severity.&lt;/p&gt;" />
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<meta name="twitter:title" content="CT Perfusion Quantification of Small-Vessel Ischemic Severity" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Cerebral blood flow (CBF) abnormalities are previously demonstrated in white matter disease. A gradation of change may exist between patients with mild and more severe white matter disease. An association between blood brain barrier dysfunction, increasing age and white matter disease is also suggested. The purpose of this study was to quantify and correlate white matter disease severity and CT perfusion (CTP)-derived CBF and to determine whether permeability surface abnormality increases with white matter disease severity.

MATERIALS AND METHODS: One hundred twenty patients with strokelike symptoms underwent CTP and MR imaging. Of these, 35 patients (15 women, 20 men; age, 66 ± 15.7 years) with rapidly resolving symptoms and normal imaging characteristics consistent with transient ischemic attack were retrospectively reviewed and constituted the study cohort. Two blinded neurologists rated white matter severity, assigning age-related white matter change (ARWMC) scores. Patients were dichotomized a priori into mild and moderate-to-severe. CBF, cerebral blood volume (CBV), mean transit time (MTT), and permeability surface product maps were calculated for periventricular and subcortical white matter regions and average white and gray matter. Associations with white matter severity were tested by uni- and multivariate logistic regression analyses. Receiver operating characteristic analysis was performed.

RESULTS: White matter disease was mild in 26 patients and moderate-to-severe in 9. Age was associated with increased likelihood of having moderate-to-severe white matter disease ( P = .02). ARWMC correlated with subcortical ( r = −0.50, P &lt; .001) and average CBF ( r = −0.55, P &lt; .001). White matter severity was associated with subcortical ( P = .03) and average ( P = .03) white matter CBF, with a trend toward periventricular white matter CBF ( P = .05). Uni- and multivariate analysis controlling for the confounding effect of age demonstrated significant association between white matter severity and subcortical ( P = .032) white matter CBF. Area under the curve was 0.82. No permeability surface abnormality was found.

CONCLUSIONS: CTP-derived subcortical white matter CBF is independently associated with white matter disease severity." />
<meta name="og-title" property="og:title" content="CT Perfusion Quantification of Small-Vessel Ischemic Severity" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/29/10/1831" />
<meta name="og-site-name" property="og:site_name" content="American Journal of Neuroradiology" />
<meta name="og-description" property="og:description" content="BACKGROUND AND PURPOSE: Cerebral blood flow (CBF) abnormalities are previously demonstrated in white matter disease. A gradation of change may exist between patients with mild and more severe white matter disease. An association between blood brain barrier dysfunction, increasing age and white matter disease is also suggested. The purpose of this study was to quantify and correlate white matter disease severity and CT perfusion (CTP)-derived CBF and to determine whether permeability surface abnormality increases with white matter disease severity.

MATERIALS AND METHODS: One hundred twenty patients with strokelike symptoms underwent CTP and MR imaging. Of these, 35 patients (15 women, 20 men; age, 66 ± 15.7 years) with rapidly resolving symptoms and normal imaging characteristics consistent with transient ischemic attack were retrospectively reviewed and constituted the study cohort. Two blinded neurologists rated white matter severity, assigning age-related white matter change (ARWMC) scores. Patients were dichotomized a priori into mild and moderate-to-severe. CBF, cerebral blood volume (CBV), mean transit time (MTT), and permeability surface product maps were calculated for periventricular and subcortical white matter regions and average white and gray matter. Associations with white matter severity were tested by uni- and multivariate logistic regression analyses. Receiver operating characteristic analysis was performed.

RESULTS: White matter disease was mild in 26 patients and moderate-to-severe in 9. Age was associated with increased likelihood of having moderate-to-severe white matter disease ( P = .02). ARWMC correlated with subcortical ( r = −0.50, P &lt; .001) and average CBF ( r = −0.55, P &lt; .001). White matter severity was associated with subcortical ( P = .03) and average ( P = .03) white matter CBF, with a trend toward periventricular white matter CBF ( P = .05). Uni- and multivariate analysis controlling for the confounding effect of age demonstrated significant association between white matter severity and subcortical ( P = .032) white matter CBF. Area under the curve was 0.82. No permeability surface abnormality was found.

CONCLUSIONS: CTP-derived subcortical white matter CBF is independently associated with white matter disease severity." />
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      <h1 class="highwire-cite-title" id="page-title">CT Perfusion Quantification of Small-Vessel Ischemic Severity</h1>  
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    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">November 2008,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">29 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(10) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1831-1836; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A1238 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-8540--8368173119" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">T.J. Huynh </div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=T.J.%2BHuynh%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Huynh%20T&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AT.J.%2BHuynh%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">B. 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    <div class="highwire-markup"><div xmlns="http://www.w3.org/1999/xhtml" class="content-block-markup" xmlns:xhtml="http://www.w3.org/1999/xhtml"><div xmlns:xhtml="http://www.w3.org/1999/xhtml" class="contributors"><ol class="contributor-list" id="contrib-group-1"><li class="contributor" id="contrib-1"><span class="name">T.J. Huynh</span><a id="xref-aff-1-1" class="xref-aff" href="#aff-1">a</a>, </li><li class="contributor" id="contrib-2"><span class="name">B. Murphy</span><a id="xref-aff-3-1" class="xref-aff" href="#aff-3">c</a><span class="xref-sep">,</span><a id="xref-aff-4-1" class="xref-aff" href="#aff-4">d</a><span class="xref-sep">,</span><a id="xref-aff-5-1" class="xref-aff" href="#aff-5">e</a>, </li><li class="contributor" id="contrib-3"><span class="name">J.A. Pettersen</span><a id="xref-aff-6-1" class="xref-aff" href="#aff-6">f</a>, </li><li class="contributor" id="contrib-4"><span class="name">H. Tu</span><a id="xref-aff-2-1" class="xref-aff" href="#aff-2">b</a>, </li><li class="contributor" id="contrib-5"><span class="name">D.J. Sahlas</span><a id="xref-aff-6-2" class="xref-aff" href="#aff-6">f</a>, </li><li class="contributor" id="contrib-6"><span class="name">L. Zhang</span><a id="xref-aff-7-1" class="xref-aff" href="#aff-7">g</a>, </li><li class="contributor" id="contrib-7"><span class="name">S.P. Symons</span><a id="xref-aff-8-1" class="xref-aff" href="#aff-8">h</a>, </li><li class="contributor" id="contrib-8"><span class="name">S. Black</span><a id="xref-aff-6-3" class="xref-aff" href="#aff-6">f</a>, </li><li class="contributor" id="contrib-9"><span class="name">T.-Y. Lee</span><a id="xref-aff-3-2" class="xref-aff" href="#aff-3">c</a><span class="xref-sep">,</span><a id="xref-aff-4-2" class="xref-aff" href="#aff-4">d</a><span class="xref-sep">,</span><a id="xref-aff-5-2" class="xref-aff" href="#aff-5">e</a> and </li><li class="last" id="contrib-10"><span class="name">R.I. Aviv</span><a id="xref-aff-8-2" class="xref-aff" href="#aff-8">h</a></li></ol><ol class="affiliation-list"><li class="aff"><a id="aff-1" name="aff-1"></a><address><sup>a</sup>Department of Medicine, University of Toronto, Toronto, Ontario, Canada</address></li><li class="aff"><a id="aff-2" name="aff-2"></a><address><sup>b</sup>Department of Medicine, Queen's University, London, Ontario, Canada</address></li><li class="aff"><a id="aff-3" name="aff-3"></a><address><sup>c</sup>Department of Medicine, University of Western Ontario, London, Ontario, Canada</address></li><li class="aff"><a id="aff-4" name="aff-4"></a><address><sup>d</sup>Robarts Research Institute, London, Ontario, Canada</address></li><li class="aff"><a id="aff-5" name="aff-5"></a><address><sup>c</sup>Lawson Health, Research Institute, London, Ontario, Canada</address></li><li class="aff"><a id="aff-6" name="aff-6"></a><address><sup>e</sup>Division of Neurology, Sunnybrook Health Science Centre, Toronto, Ontario, Canada</address></li><li class="aff"><a id="aff-7" name="aff-7"></a><address><sup>f</sup>Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, Ontario, Canada</address></li><li class="aff"><a id="aff-8" name="aff-8"></a><address><sup>g</sup>Department of Neuroradiology, Sunnybrook Health Science Centre, Toronto, Ontario, Canada</address></li></ol><ol class="corresp-list"><li class="corresp" id="corresp-1">Please address correspondence to Richard Aviv, MD, Sunnybrook Health Science Centre, 2075 Bayview Ave, Toronto, ON, Canada, M4N 3M5; e-mail: <span class="em-link"><span class="em-addr">richard.aviv{at}sunnybrook.ca</span></span></li></ol></div></div><a href="http://ajnr-stage2.stage.highwire.org/content/29/10/1831.full" class="hw-link hw-link-article-full-text" data-icon-position="" data-hide-link-title="0">View Full Text</a></div>  </div>

  
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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 29</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 10 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">November 2008 </div></div>
      
      
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      <div class="highwire-cite-title">CT Perfusion Quantification of Small-Vessel Ischemic Severity</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">T.J.</span> <span class="nlm-surname">Huynh</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">B.</span> <span class="nlm-surname">Murphy</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">J.A.</span> <span class="nlm-surname">Pettersen</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Tu</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">D.J.</span> <span class="nlm-surname">Sahlas</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.P.</span> <span class="nlm-surname">Symons</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Black</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">T.-Y.</span> <span class="nlm-surname">Lee</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">R.I.</span> <span class="nlm-surname">Aviv</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Nov 2008, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">29 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(10) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1831-1836; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A1238 </span></div>
  
  
  
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    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">T.J.</span> <span class="nlm-surname">Huynh</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">B.</span> <span class="nlm-surname">Murphy</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">J.A.</span> <span class="nlm-surname">Pettersen</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Tu</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">D.J.</span> <span class="nlm-surname">Sahlas</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.P.</span> <span class="nlm-surname">Symons</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Black</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">T.-Y.</span> <span class="nlm-surname">Lee</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">R.I.</span> <span class="nlm-surname">Aviv</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Nov 2008, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">29 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(10) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1831-1836; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A1238 </span></div>
  
  
  
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