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<meta name="DC.Title" content="Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas" />
<meta name="DC.Identifier" content="10.3174/ajnr.A5569" />
<meta name="DC.Date" content="2018-04-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Prediction of the isocitrate dehydrogenase 1 (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

MATERIALS AND METHODS: Ninety-three patients with World Health Organization grade II gliomas with known IDH1- mutation and 1p/19q-codeletion status (18 IDH1 wild-type, 45 IDH1 mutant and no 1p/19q codeletion, 30 IDH1- mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the IDH1 -mutation and 1p/19q-codeletion status. The predictive powers of imaging features for IDH1 wild-type tumors and 1p/19q-codeletion status in IDH1 -mutant subgroups were evaluated using the least absolute shrinkage and selection operator.

RESULTS: Various histogram and texture parameters differed significantly according to IDH1 -mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an IDH1 wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in IDH1 -mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.

CONCLUSIONS: Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

FA
:   fractional anisotropy
GLCM
:   gray level co-occurrence matrices
IDH 
:   isocitrate dehydrogenase 
IDM
:   inverse different moment
LASSO
:   least absolute shrinkage and selection operator
WHO
:   World Health Organization" />
<meta name="DC.Contributor" content="Y.W. Park" />
<meta name="DC.Contributor" content="K. Han" />
<meta name="DC.Contributor" content="S.S. Ahn" />
<meta name="DC.Contributor" content="Y.S. Choi" />
<meta name="DC.Contributor" content="J.H. Chang" />
<meta name="DC.Contributor" content="S.H. Kim" />
<meta name="DC.Contributor" content="S.-G. Kang" />
<meta name="DC.Contributor" content="E.H. Kim" />
<meta name="DC.Contributor" content="S.-K. Lee" />
<meta name="article:published_time" content="2018-04-01" />
<meta name="article:section" content="ADULT BRAIN" />
<meta name="citation_title" content="Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Prediction of the &lt;i&gt;isocitrate dehydrogenase 1&lt;/i&gt; (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine &lt;i&gt;IDH1&lt;/i&gt;-mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;Ninety-three patients with World Health Organization grade II gliomas with known &lt;i&gt;IDH1-&lt;/i&gt;mutation and 1p/19q-codeletion status (18 &lt;i&gt;IDH1&lt;/i&gt; wild-type, 45 &lt;i&gt;IDH1&lt;/i&gt; mutant and no 1p/19q codeletion, 30 &lt;i&gt;IDH1-&lt;/i&gt;mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the &lt;i&gt;IDH1&lt;/i&gt;-mutation and 1p/19q-codeletion status. The predictive powers of imaging features for &lt;i&gt;IDH1&lt;/i&gt; wild-type tumors and 1p/19q-codeletion status in &lt;i&gt;IDH1&lt;/i&gt;-mutant subgroups were evaluated using the least absolute shrinkage and selection operator.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Various histogram and texture parameters differed significantly according to &lt;i&gt;IDH1&lt;/i&gt;-mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an &lt;i&gt;IDH1&lt;/i&gt; wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in &lt;i&gt;IDH1&lt;/i&gt;-mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the &lt;i&gt;IDH1&lt;/i&gt;-mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.&lt;/p&gt;" />
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<meta name="twitter:title" content="Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Prediction of the isocitrate dehydrogenase 1 (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

MATERIALS AND METHODS: Ninety-three patients with World Health Organization grade II gliomas with known IDH1- mutation and 1p/19q-codeletion status (18 IDH1 wild-type, 45 IDH1 mutant and no 1p/19q codeletion, 30 IDH1- mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the IDH1 -mutation and 1p/19q-codeletion status. The predictive powers of imaging features for IDH1 wild-type tumors and 1p/19q-codeletion status in IDH1 -mutant subgroups were evaluated using the least absolute shrinkage and selection operator.

RESULTS: Various histogram and texture parameters differed significantly according to IDH1 -mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an IDH1 wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in IDH1 -mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.

CONCLUSIONS: Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

FA
:   fractional anisotropy
GLCM
:   gray level co-occurrence matrices
IDH 
:   isocitrate dehydrogenase 
IDM
:   inverse different moment
LASSO
:   least absolute shrinkage and selection operator
WHO
:   World Health Organization" />
<meta name="og-title" property="og:title" content="Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/39/4/693" />
<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: Prediction of the isocitrate dehydrogenase 1 (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

MATERIALS AND METHODS: Ninety-three patients with World Health Organization grade II gliomas with known IDH1- mutation and 1p/19q-codeletion status (18 IDH1 wild-type, 45 IDH1 mutant and no 1p/19q codeletion, 30 IDH1- mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the IDH1 -mutation and 1p/19q-codeletion status. The predictive powers of imaging features for IDH1 wild-type tumors and 1p/19q-codeletion status in IDH1 -mutant subgroups were evaluated using the least absolute shrinkage and selection operator.

RESULTS: Various histogram and texture parameters differed significantly according to IDH1 -mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an IDH1 wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in IDH1 -mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.

CONCLUSIONS: Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the IDH1 -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.

FA
:   fractional anisotropy
GLCM
:   gray level co-occurrence matrices
IDH 
:   isocitrate dehydrogenase 
IDM
:   inverse different moment
LASSO
:   least absolute shrinkage and selection operator
WHO
:   World Health Organization" />
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    <div class="highwire-article-citation highwire-citation-type-highwire-article node60163--5" data-node-nid="60163" id="top-node-60163--6107685452" data-pisa="ajnr;39/4/693" data-pisa-master="ajnr;ajnr.A5569" data-apath="/ajnr/39/4/693.atom" data-hw-author-tooltip-instance="highwire_author_tooltip"><div class="highwire-cite highwire-cite-highwire-article highwire-citation-jcore-article-title-complete clearfix has-author-tooltip highwire-citation-highwire-article-top-a">
  
  
      <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>
  
      <div class="highwire-cite-access"><span class="highwire-citation-access"><i class="highwire-access-icon highwire-access-icon-open-access open-access hw-icon-open-access" title="Open Access" aria-hidden="true"></i><span  class="element-invisible highwire-access-icon highwire-access-icon-open-access" style="">Open Access</span></span></div>
  
      <h1 class="highwire-cite-title" id="page-title">Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of <em>IDH1</em>-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">Y.W. Park</span>, <span class="highwire-citation-author" data-delta="1">K. Han</span>, <span class="highwire-citation-author" data-delta="2">S.S. Ahn</span>, <span class="highwire-citation-author" data-delta="3">Y.S. Choi</span>, <span class="highwire-citation-author" data-delta="4">J.H. Chang</span>, <span class="highwire-citation-author" data-delta="5">S.H. Kim</span>, <span class="highwire-citation-author" data-delta="6">S.-G. Kang</span>, <span class="highwire-citation-author" data-delta="7">E.H. Kim</span> and <span class="highwire-citation-author" data-delta="8">S.-K. Lee</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">April 2018,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">39 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(4) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">693-698; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A5569 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-60163--6107685452" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">Y.W. Park </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 Radiology (Y.W.P.), Ewha Womans University College of Medicine, Seoul, Korea</div><div class='author-affiliation'><span class='nlm-sup'>b</span>Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.)</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=Y.W.%2BPark%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=Park%20Y&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%3AY.W.%2BPark%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="https://orcid.org/0000-0001-8907-5401" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for Y.W. Park</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">K. Han </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.)</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=K.%2BHan%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=Han%20K&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%3AK.%2BHan%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="https://orcid.org/0000-0002-5687-7237" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for K. Han</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">S.S. Ahn </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.)</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.S.%2BAhn%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=Ahn%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.S.%2BAhn%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="https://orcid.org/0000-0002-0503-5558" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S.S. Ahn</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">Y.S. Choi </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.)</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=Y.S.%2BChoi%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=Choi%20Y&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%3AY.S.%2BChoi%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="https://orcid.org/0000-0002-6034-9912" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for Y.S. Choi</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">J.H. Chang </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Neurosurgery (J.H.C., S.-G.K., E.H.K.)</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.H.%2BChang%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=Chang%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.H.%2BChang%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="https://orcid.org/0000-0003-1509-9800" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for J.H. Chang</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">S.H. Kim </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>Pathology (S.H.K.), Yonsei University College of Medicine, Seoul, Korea.</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.H.%2BKim%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=Kim%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.H.%2BKim%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="https://orcid.org/0000-0001-7516-7372" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S.H. Kim</a></li></ul></div><div class="author-tooltip-6"><div class="author-tooltip-name">S.-G. Kang </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Neurosurgery (J.H.C., S.-G.K., E.H.K.)</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.-G.%2BKang%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=Kang%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.-G.%2BKang%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="https://orcid.org/0000-0001-5676-2037" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S.-G. Kang</a></li></ul></div><div class="author-tooltip-7"><div class="author-tooltip-name">E.H. Kim </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Neurosurgery (J.H.C., S.-G.K., E.H.K.)</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=E.H.%2BKim%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=Kim%20E&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%3AE.H.%2BKim%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="https://orcid.org/0000-0002-2523-7122" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for E.H. Kim</a></li></ul></div><div class="author-tooltip-8"><div class="author-tooltip-name">S.-K. Lee </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.)</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.-K.%2BLee%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=Lee%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.-K.%2BLee%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="https://orcid.org/0000-0001-5646-4072" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S.-K. 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    <div class="highwire-markup"><div xmlns="http://www.w3.org/1999/xhtml" xmlns:xhtml="http://www.w3.org/1999/xhtml" class="section ref-list" id="ref-list-1"><h2 class="">References</h2><ol class="cit-list ref-use-labels"><li><span class="ref-label">1.</span><a class="rev-xref-ref" href="#xref-ref-1-1" title="View reference 1. in text" id="ref-1">↵</a><div class="cit ref-cit ref-journal" id="cit-39.4.693.1" data-doi="10.1007/s00401-016-1545-1"><div class="cit-metadata"><ol class="cit-auth-list"><li>
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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 39</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 4 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">1 Apr 2018 </div></div>
      
      
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      <div class="highwire-cite-title">Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of <em>IDH1</em>-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas</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">Y.W.</span> <span class="nlm-surname">Park</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">K.</span> <span class="nlm-surname">Han</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">S.S.</span> <span class="nlm-surname">Ahn</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">Y.S.</span> <span class="nlm-surname">Choi</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Chang</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">S.H.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.-G.</span> <span class="nlm-surname">Kang</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">E.H.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">S.-K.</span> <span class="nlm-surname">Lee</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Apr 2018, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">39 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(4) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">693-698; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A5569 </span></div>
  
  
  
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      <div class="highwire-cite-title">Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of <em>IDH1</em>-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas</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">Y.W.</span> <span class="nlm-surname">Park</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">K.</span> <span class="nlm-surname">Han</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">S.S.</span> <span class="nlm-surname">Ahn</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">Y.S.</span> <span class="nlm-surname">Choi</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Chang</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">S.H.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">S.-G.</span> <span class="nlm-surname">Kang</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">E.H.</span> <span class="nlm-surname">Kim</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">S.-K.</span> <span class="nlm-surname">Lee</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Apr 2018, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">39 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(4) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">693-698; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A5569 </span></div>
  
  
  
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