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<meta name="DC.Title" content="Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation" />
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<meta name="DC.Date" content="2017-08-01" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Intracerebral hemorrhage accounts for 6.5%–19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.

MATERIALS AND METHODS: In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.

RESULTS: The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.

CONCLUSIONS: SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.

ICH
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<meta name="DC.Contributor" content="W. Xue" />
<meta name="DC.Contributor" content="S. Vegunta" />
<meta name="DC.Contributor" content="C.M. Zwart" />
<meta name="DC.Contributor" content="M.I. Aguilar" />
<meta name="DC.Contributor" content="A.C. Patel" />
<meta name="DC.Contributor" content="J.M. Hoxworth" />
<meta name="DC.Contributor" content="B.M. Demaerschalk" />
<meta name="DC.Contributor" content="J.R. Mitchell" />
<meta name="article:published_time" content="2017-08-01" />
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<meta name="citation_title" content="Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Intracerebral hemorrhage accounts for 6.5%–19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.&lt;/p&gt;" />
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<meta name="twitter:title" content="Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:image" content="http://ajnr-stage2.stage.highwire.org/sites/default/files/highwire/ajnr/38/8.cover-source.jpg" />
<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Intracerebral hemorrhage accounts for 6.5%–19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.

MATERIALS AND METHODS: In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.

RESULTS: The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.

CONCLUSIONS: SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.

ICH
:   intracerebral hemorrhage
LS
:   level set
MDC
:   95% minimum detectable change" />
<meta name="og-title" property="og:title" content="Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/38/8/1536" />
<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: Intracerebral hemorrhage accounts for 6.5%–19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.

MATERIALS AND METHODS: In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.

RESULTS: The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.

CONCLUSIONS: SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.

ICH
:   intracerebral hemorrhage
LS
:   level set
MDC
:   95% minimum detectable change" />
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      <div class="highwire-cite-overline"><span  class="highwire-cite-metadata-article-type highwire-cite-metadata">Research Article</span><span class="separator-pipe"></span><span  class="highwire-cite-metadata-art-cat highwire-cite-metadata"><span class="wrapper">ADULT BRAIN</span></span></div>
  
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      <h1 class="highwire-cite-title" id="page-title">Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">W. Xue</span>, <span class="highwire-citation-author" data-delta="1">S. Vegunta</span>, <span class="highwire-citation-author" data-delta="2">C.M. Zwart</span>, <span class="highwire-citation-author" data-delta="3">M.I. Aguilar</span>, <span class="highwire-citation-author" data-delta="4">A.C. Patel</span>, <span class="highwire-citation-author" data-delta="5">J.M. Hoxworth</span>, <span class="highwire-citation-author" data-delta="6">B.M. Demaerschalk</span> and <span class="highwire-citation-author" data-delta="7">J.R. Mitchell</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">August 2017,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">38 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(8) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1536-1542; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A5256 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-55513--62130841727" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">W. Xue </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Department of Biomedical Informatics (W.X., J.R.M.), Arizona State University, Scottsdale, Arizona</div></span></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=W.%2BXue%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=Xue%20W&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"><a href="/search/author1%3AW.%2BXue%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-8474-8507" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for W. Xue</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">S. Vegunta </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Moran Eye Center (S.V.), University of Utah, Salt Lake City, Utah</div></span></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=S.%2BVegunta%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=Vegunta%20S&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"><a href="/search/author1%3AS.%2BVegunta%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-1476-4701" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S. Vegunta</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">C.M. Zwart </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Departments of Radiology (C.M.Z., A.C.P., J.M.H.)</div></span></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=C.M.%2BZwart%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=Zwart%20C&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"><a href="/search/author1%3AC.M.%2BZwart%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-5044-2331" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for C.M. Zwart</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">M.I. Aguilar </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>Neurology (M.I.A., B.M.D.)</div></span></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=M.I.%2BAguilar%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=Aguilar%20M&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"><a href="/search/author1%3AM.I.%2BAguilar%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-2185-7500" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for M.I. Aguilar</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">A.C. Patel </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Departments of Radiology (C.M.Z., A.C.P., J.M.H.)</div></span></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=A.C.%2BPatel%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=Patel%20A&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"><a href="/search/author1%3AA.C.%2BPatel%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-2916-2754" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for A.C. Patel</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">J.M. Hoxworth </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Departments of Radiology (C.M.Z., A.C.P., J.M.H.)</div></span></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=J.M.%2BHoxworth%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=Hoxworth%20J&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"><a href="/search/author1%3AJ.M.%2BHoxworth%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-7179-5846" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for J.M. Hoxworth</a></li></ul></div><div class="author-tooltip-6"><div class="author-tooltip-name">B.M. Demaerschalk </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>Neurology (M.I.A., B.M.D.)</div></span></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=B.M.%2BDemaerschalk%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=Demaerschalk%20B&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"><a href="/search/author1%3AB.M.%2BDemaerschalk%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-7262-817X" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for B.M. Demaerschalk</a></li></ul></div><div class="author-tooltip-7"><div class="author-tooltip-name">J.R. Mitchell </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Department of Biomedical Informatics (W.X., J.R.M.), Arizona State University, Scottsdale, Arizona</div><div class='author-affiliation'><span class='nlm-sup'>e</span>Research (J.R.M.), Mayo Clinic, Scottsdale, Arizona.</div></span></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=J.R.%2BMitchell%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=Mitchell%20J&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"><a href="/search/author1%3AJ.R.%2BMitchell%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-2340-4708" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for J.R. 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    <div class="highwire-markup"><div xmlns="http://www.w3.org/1999/xhtml" data-highwire-cite-ref-tooltip-instance="highwire_reflinks_tooltip" class="content-block-markup" xmlns:xhtml="http://www.w3.org/1999/xhtml"><div class="article abstract-view "><span class="highwire-journal-article-marker-start"></span><div class="section abstract" id="abstract-1"><h2>Abstract</h2><div id="sec-1" class="subsection"><p id="p-3"><strong>BACKGROUND AND PURPOSE:</strong> Intracerebral hemorrhage accounts for 6.5%–19.6% of all acute strokes. Initial intracerebral hemorrhage volume and expansion are both independent predictors of clinical outcomes and mortality. Therefore, a rapid, unbiased, and precise measurement of intracerebral hemorrhage volume is a key component of clinical management. The most commonly used method, ABC/2, results in overestimation. We developed an interactive segmentation program, SegTool, using a novel graphic processing unit, level set algorithm. Until now, the speed, bias, and precision of SegTool had not been validated.</p></div><div id="sec-2" class="subsection"><p id="p-4"><strong>MATERIALS AND METHODS:</strong> In a single stroke academic center, 2 vascular neurologists and 2 neuroradiologists independently performed a test-retest experiment that involved repeat measurements of static, unchanging intracerebral hemorrhage volumes on CT from 76 intracerebral hemorrhage cases. Measurements were made with SegTool and ABC/2. True intracerebral hemorrhage volumes were estimated from a consensus of repeat manual tracings by 2 operators. These data allowed us to estimate measurement bias, precision, and speed.</p></div><div id="sec-3" class="subsection"><p id="p-5"><strong>RESULTS:</strong> The measurements with SegTool were not significantly different from the true intracerebral hemorrhage volumes, while ABC/2 overestimated volume by 45%. The interrater measurement variability with SegTool was 50% less than that with ABC/2. The average measurement times for ABC/2 and SegTool were 35.7 and 44.6 seconds, respectively.</p></div><div id="sec-4" class="subsection"><p id="p-6"><strong>CONCLUSIONS:</strong> SegTool appears to have attributes superior to ABC/2 in terms of accuracy and interrater reliability with a 9-second delay in measurement time (on average); hence, it could be useful in clinical trials and practice.</p></div></div><div class="section glossary" id="glossary-1"><h2 class="">ABBREVIATIONS:</h2><dl id="def-list-1"><dt id="def-item-1">ICH<span class="def-item-dt-sep"></span></dt><dd>intracerebral hemorrhage<span class="def-item-dd-sep"></span></dd><dt id="def-item-2">LS<span class="def-item-dt-sep"></span></dt><dd>level set<span class="def-item-dd-sep"></span></dd><dt id="def-item-3">MDC<span class="def-item-dt-sep"></span></dt><dd>95% minimum detectable change</dd></dl></div><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">© 2017 by American Journal of Neuroradiology</li></ul><span class="highwire-journal-article-marker-end"></span></div><span class="related-urls"></span></div><a href="http://ajnr-stage2.stage.highwire.org/content/38/8/1536.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. 38</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 8 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">1 Aug 2017 </div></div>
      
      
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      <div class="highwire-cite-title">Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation</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">W.</span> <span class="nlm-surname">Xue</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Vegunta</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">C.M.</span> <span class="nlm-surname">Zwart</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">M.I.</span> <span class="nlm-surname">Aguilar</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">A.C.</span> <span class="nlm-surname">Patel</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">J.M.</span> <span class="nlm-surname">Hoxworth</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.M.</span> <span class="nlm-surname">Demaerschalk</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">J.R.</span> <span class="nlm-surname">Mitchell</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">Aug 2017, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">38 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(8) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1536-1542; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A5256 </span></div>
  
  
  
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      <div class="highwire-cite-title">Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation</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">W.</span> <span class="nlm-surname">Xue</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Vegunta</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">C.M.</span> <span class="nlm-surname">Zwart</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">M.I.</span> <span class="nlm-surname">Aguilar</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">A.C.</span> <span class="nlm-surname">Patel</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">J.M.</span> <span class="nlm-surname">Hoxworth</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.M.</span> <span class="nlm-surname">Demaerschalk</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">J.R.</span> <span class="nlm-surname">Mitchell</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">Aug 2017, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">38 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(8) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1536-1542; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A5256 </span></div>
  
  
  
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