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<meta name="DC.Title" content="Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts" />
<meta name="DC.Identifier" content="10.3174/ajnr.A0534" />
<meta name="DC.Date" content="2007-08-01" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Conventional MR imaging shows evidence of brain injury and/or maldevelopment in 70%–90% of children with cerebral palsy (CP), though its capability to identify specific white matter tract injury is limited. The great variability of white matter lesions in CP already demonstrated by postmortem studies is thought to be one of the reasons why response to treatment is so variable. Our hypothesis is that diffusion tensor imaging (DTI) is a suitable technique to provide in vivo characterization of specific white matter tract lesions in children with CP associated with periventricular leukomalacia (PVL).

MATERIALS AND METHODS: In this study, 24 children with CP associated with PVL and 35 healthy controls were evaluated with DTI. Criteria for identification of 26 white matter tracts on the basis of 2D DTI color-coded maps were established, and a qualitative scoring system, based on visual inspection of the tracts in comparison with age-matched controls, was used to grade the severity of abnormalities. An ordinal grading system (0 = normal, 1 = abnormal, 2 = severely abnormal or absent) was used to score each white matter tract.

RESULTS: There was marked variability in white matter injury pattern in patients with PVL, with the most frequent injury to the retrolenticular part of the internal capsule, posterior thalamic radiation, superior corona radiata, and commissural fibers.

CONCLUSION: DTI is a suitable technique for in vivo assessment of specific white matter lesions in patients with PVL and, thus, a potentially valuable diagnostic tool. The tract-specific evaluation revealed a family of tracts that are highly susceptible in PVL, important information that can potentially be used to tailor treatment options in the future." />
<meta name="DC.Contributor" content="L.M. Nagae" />
<meta name="DC.Contributor" content="A.H. Hoon" />
<meta name="DC.Contributor" content="E. Stashinko" />
<meta name="DC.Contributor" content="D. Lin" />
<meta name="DC.Contributor" content="W. Zhang" />
<meta name="DC.Contributor" content="E. Levey" />
<meta name="DC.Contributor" content="S. Wakana" />
<meta name="DC.Contributor" content="H. Jiang" />
<meta name="DC.Contributor" content="C.C. Leite" />
<meta name="DC.Contributor" content="L.T. Lucato" />
<meta name="DC.Contributor" content="P.C.M. van Zijl" />
<meta name="DC.Contributor" content="M.V. Johnston" />
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<meta name="citation_title" content="Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts" />
<meta name="citation_abstract" lang="en" content="&lt;p&gt;&lt;b&gt;BACKGROUND AND PURPOSE:&lt;/b&gt; Conventional MR imaging shows evidence of brain injury and/or maldevelopment in 70%–90% of children with cerebral palsy (CP), though its capability to identify specific white matter tract injury is limited. The great variability of white matter lesions in CP already demonstrated by postmortem studies is thought to be one of the reasons why response to treatment is so variable. Our hypothesis is that diffusion tensor imaging (DTI) is a suitable technique to provide in vivo characterization of specific white matter tract lesions in children with CP associated with periventricular leukomalacia (PVL).&lt;/p&gt;&lt;p&gt;&lt;b&gt;MATERIALS AND METHODS:&lt;/b&gt; In this study, 24 children with CP associated with PVL and 35 healthy controls were evaluated with DTI. Criteria for identification of 26 white matter tracts on the basis of 2D DTI color-coded maps were established, and a qualitative scoring system, based on visual inspection of the tracts in comparison with age-matched controls, was used to grade the severity of abnormalities. An ordinal grading system (0 = normal, 1 = abnormal, 2 = severely abnormal or absent) was used to score each white matter tract.&lt;/p&gt;&lt;p&gt;&lt;b&gt;RESULTS:&lt;/b&gt; There was marked variability in white matter injury pattern in patients with PVL, with the most frequent injury to the retrolenticular part of the internal capsule, posterior thalamic radiation, superior corona radiata, and commissural fibers.&lt;/p&gt;&lt;p&gt;&lt;b&gt;CONCLUSION:&lt;/b&gt; DTI is a suitable technique for in vivo assessment of specific white matter lesions in patients with PVL and, thus, a potentially valuable diagnostic tool. The tract-specific evaluation revealed a family of tracts that are highly susceptible in PVL, important information that can potentially be used to tailor treatment options in the future.&lt;/p&gt;" />
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<meta name="twitter:title" content="Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Conventional MR imaging shows evidence of brain injury and/or maldevelopment in 70%–90% of children with cerebral palsy (CP), though its capability to identify specific white matter tract injury is limited. The great variability of white matter lesions in CP already demonstrated by postmortem studies is thought to be one of the reasons why response to treatment is so variable. Our hypothesis is that diffusion tensor imaging (DTI) is a suitable technique to provide in vivo characterization of specific white matter tract lesions in children with CP associated with periventricular leukomalacia (PVL).

MATERIALS AND METHODS: In this study, 24 children with CP associated with PVL and 35 healthy controls were evaluated with DTI. Criteria for identification of 26 white matter tracts on the basis of 2D DTI color-coded maps were established, and a qualitative scoring system, based on visual inspection of the tracts in comparison with age-matched controls, was used to grade the severity of abnormalities. An ordinal grading system (0 = normal, 1 = abnormal, 2 = severely abnormal or absent) was used to score each white matter tract.

RESULTS: There was marked variability in white matter injury pattern in patients with PVL, with the most frequent injury to the retrolenticular part of the internal capsule, posterior thalamic radiation, superior corona radiata, and commissural fibers.

CONCLUSION: DTI is a suitable technique for in vivo assessment of specific white matter lesions in patients with PVL and, thus, a potentially valuable diagnostic tool. The tract-specific evaluation revealed a family of tracts that are highly susceptible in PVL, important information that can potentially be used to tailor treatment options in the future." />
<meta name="og-title" property="og:title" content="Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts" />
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<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: Conventional MR imaging shows evidence of brain injury and/or maldevelopment in 70%–90% of children with cerebral palsy (CP), though its capability to identify specific white matter tract injury is limited. The great variability of white matter lesions in CP already demonstrated by postmortem studies is thought to be one of the reasons why response to treatment is so variable. Our hypothesis is that diffusion tensor imaging (DTI) is a suitable technique to provide in vivo characterization of specific white matter tract lesions in children with CP associated with periventricular leukomalacia (PVL).

MATERIALS AND METHODS: In this study, 24 children with CP associated with PVL and 35 healthy controls were evaluated with DTI. Criteria for identification of 26 white matter tracts on the basis of 2D DTI color-coded maps were established, and a qualitative scoring system, based on visual inspection of the tracts in comparison with age-matched controls, was used to grade the severity of abnormalities. An ordinal grading system (0 = normal, 1 = abnormal, 2 = severely abnormal or absent) was used to score each white matter tract.

RESULTS: There was marked variability in white matter injury pattern in patients with PVL, with the most frequent injury to the retrolenticular part of the internal capsule, posterior thalamic radiation, superior corona radiata, and commissural fibers.

CONCLUSION: DTI is a suitable technique for in vivo assessment of specific white matter lesions in patients with PVL and, thus, a potentially valuable diagnostic tool. The tract-specific evaluation revealed a family of tracts that are highly susceptible in PVL, important information that can potentially be used to tailor treatment options in the future." />
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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">PEDIATRICS</span></span></div>
  
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      <h1 class="highwire-cite-title" id="page-title">Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">L.M. Nagae</span>, <span class="highwire-citation-author" data-delta="1">A.H. Hoon</span>, <span class="highwire-citation-author" data-delta="2">E. Stashinko</span>, <span class="highwire-citation-author" data-delta="3">D. Lin</span>, <span class="highwire-citation-author" data-delta="4">W. Zhang</span>, <span class="highwire-citation-author" data-delta="5">E. Levey</span>, <span class="highwire-citation-author" data-delta="6">S. Wakana</span>, <span class="highwire-citation-author" data-delta="7">H. Jiang</span>, <span class="highwire-citation-author" data-delta="8">C.C. Leite</span>, <span class="highwire-citation-author" data-delta="9">L.T. Lucato</span>, <span class="highwire-citation-author" data-delta="10">P.C.M. van Zijl</span>, <span class="highwire-citation-author" data-delta="11">M.V. Johnston</span> and <span class="highwire-citation-author" data-delta="12">S. Mori</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 2007,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1213-1222; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A0534 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-7148--8711763630" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">L.M. Nagae </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=L.M.%2BNagae%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=Nagae%20L&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%3AL.M.%2BNagae%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">A.H. 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    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">vol. 28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">no. 7 </span><span  class="highwire-cite-metadata-page-string highwire-cite-metadata">1213-1222 </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">L.M.</span> <span class="nlm-surname">Nagae</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">A.H.</span> <span class="nlm-surname">Hoon</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Stashinko</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">D.</span> <span class="nlm-surname">Lin</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Levey</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Wakana</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Jiang</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">C.C.</span> <span class="nlm-surname">Leite</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">L.T.</span> <span class="nlm-surname">Lucato</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">P.C.M.</span> <span class="nlm-surname">van Zijl</span></span>, <span class="highwire-citation-author" data-delta="11"><span class="nlm-given-names">M.V.</span> <span class="nlm-surname">Johnston</span></span>, <span class="highwire-citation-author" data-delta="12"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Mori</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 2007, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1213-1222; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A0534 </span></div>
  
  
  
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      <div class="highwire-cite-title">Diffusion Tensor Imaging in Children with Periventricular Leukomalacia: Variability of Injuries to White Matter Tracts</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">L.M.</span> <span class="nlm-surname">Nagae</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">A.H.</span> <span class="nlm-surname">Hoon</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Stashinko</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">D.</span> <span class="nlm-surname">Lin</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Levey</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Wakana</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Jiang</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">C.C.</span> <span class="nlm-surname">Leite</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">L.T.</span> <span class="nlm-surname">Lucato</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">P.C.M.</span> <span class="nlm-surname">van Zijl</span></span>, <span class="highwire-citation-author" data-delta="11"><span class="nlm-given-names">M.V.</span> <span class="nlm-surname">Johnston</span></span>, <span class="highwire-citation-author" data-delta="12"><span class="nlm-given-names">S.</span> <span class="nlm-surname">Mori</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 2007, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">28 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(7) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1213-1222; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A0534 </span></div>
  
  
  
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