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<meta name="DC.Title" content="Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics" />
<meta name="DC.Identifier" content="10.3174/ajnr.A2267" />
<meta name="DC.Date" content="2011-02-01" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: FA correlation to glioma tumor grade has been mixed if not disappointing. There are several potential underlying fundamental issues that have contributed to these results. In an attempt to overcome these past shortfalls, we evaluated characteristics of FA of the solid tissue components of gliomas, including whether high-grade gliomas have a greater variation of FA than low-grade gliomas.

MATERIALS AND METHODS: Thirty-four patients with gliomas (9 grade II, 8 grade III, and 17 grade IV) underwent diffusion tensor imaging at 3T. Mean FA, maximum FA, and minimum FA values were measured within the solid tissue components of the tumors. The variations of FA were evaluated by determining the range of FA values and the maximum SDs of FA. The variations of FA values among different tumor grades were compared statistically. We also correlated FA variations with minimum FA and maximum FA.

RESULTS: The maximum FA, FA range, and maximum SD for grade II tumors were significantly lower than those for grade III and IV tumors ( P &lt; .0001 ∼ P = .0164). A very good correlation of maximum FA to FA range ( r = 0.931) and maximum SD ( r = 0.889) was observed.

CONCLUSIONS: The FA range and maximum SD appear useful for differentiating low- and high-grade gliomas. This analysis added value to the findings on conventional MR imaging. In addition, focal maximum FA is a key factor contributing to the larger FA variation within high-grade gliomas.

ANOVA
:   analysis of variance
ASSET
:   array spatial sensitivity encoding technique
FA
:   fractional anisotropy
FLAIR
:   fluid-attenuated inversion recovery
FSE
:   fast spin-echo
ROC
:   receiver operating characteristic analysis" />
<meta name="DC.Contributor" content="M.L. White" />
<meta name="DC.Contributor" content="Y. Zhang" />
<meta name="DC.Contributor" content="F. Yu" />
<meta name="DC.Contributor" content="S.A. Jaffar Kazmi" />
<meta name="article:published_time" content="2011-02-01" />
<meta name="article:section" content="Brain" />
<meta name="citation_title" content="Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;FA correlation to glioma tumor grade has been mixed if not disappointing. There are several potential underlying fundamental issues that have contributed to these results. In an attempt to overcome these past shortfalls, we evaluated characteristics of FA of the solid tissue components of gliomas, including whether high-grade gliomas have a greater variation of FA than low-grade gliomas.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;Thirty-four patients with gliomas (9 grade II, 8 grade III, and 17 grade IV) underwent diffusion tensor imaging at 3T. Mean FA, maximum FA, and minimum FA values were measured within the solid tissue components of the tumors. The variations of FA were evaluated by determining the range of FA values and the maximum SDs of FA. The variations of FA values among different tumor grades were compared statistically. We also correlated FA variations with minimum FA and maximum FA.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;The maximum FA, FA range, and maximum SD for grade II tumors were significantly lower than those for grade III and IV tumors (&lt;i&gt;P&lt;/i&gt; &amp;lt; .0001 ∼ &lt;i&gt;P&lt;/i&gt; = .0164). A very good correlation of maximum FA to FA range (&lt;i&gt;r&lt;/i&gt; = 0.931) and maximum SD (&lt;i&gt;r&lt;/i&gt; = 0.889) was observed.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;The FA range and maximum SD appear useful for differentiating low- and high-grade gliomas. This analysis added value to the findings on conventional MR imaging. In addition, focal maximum FA is a key factor contributing to the larger FA variation within high-grade gliomas.&lt;/p&gt;" />
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<meta name="twitter:title" content="Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics" />
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<meta name="twitter:image" content="http://ajnr-stage2.stage.highwire.org/sites/default/files/highwire/ajnr/32/2.cover.gif" />
<meta name="twitter:description" content="BACKGROUND AND PURPOSE: FA correlation to glioma tumor grade has been mixed if not disappointing. There are several potential underlying fundamental issues that have contributed to these results. In an attempt to overcome these past shortfalls, we evaluated characteristics of FA of the solid tissue components of gliomas, including whether high-grade gliomas have a greater variation of FA than low-grade gliomas.

MATERIALS AND METHODS: Thirty-four patients with gliomas (9 grade II, 8 grade III, and 17 grade IV) underwent diffusion tensor imaging at 3T. Mean FA, maximum FA, and minimum FA values were measured within the solid tissue components of the tumors. The variations of FA were evaluated by determining the range of FA values and the maximum SDs of FA. The variations of FA values among different tumor grades were compared statistically. We also correlated FA variations with minimum FA and maximum FA.

RESULTS: The maximum FA, FA range, and maximum SD for grade II tumors were significantly lower than those for grade III and IV tumors ( P &lt; .0001 ∼ P = .0164). A very good correlation of maximum FA to FA range ( r = 0.931) and maximum SD ( r = 0.889) was observed.

CONCLUSIONS: The FA range and maximum SD appear useful for differentiating low- and high-grade gliomas. This analysis added value to the findings on conventional MR imaging. In addition, focal maximum FA is a key factor contributing to the larger FA variation within high-grade gliomas.

ANOVA
:   analysis of variance
ASSET
:   array spatial sensitivity encoding technique
FA
:   fractional anisotropy
FLAIR
:   fluid-attenuated inversion recovery
FSE
:   fast spin-echo
ROC
:   receiver operating characteristic analysis" />
<meta name="og-title" property="og:title" content="Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/32/2/374" />
<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: FA correlation to glioma tumor grade has been mixed if not disappointing. There are several potential underlying fundamental issues that have contributed to these results. In an attempt to overcome these past shortfalls, we evaluated characteristics of FA of the solid tissue components of gliomas, including whether high-grade gliomas have a greater variation of FA than low-grade gliomas.

MATERIALS AND METHODS: Thirty-four patients with gliomas (9 grade II, 8 grade III, and 17 grade IV) underwent diffusion tensor imaging at 3T. Mean FA, maximum FA, and minimum FA values were measured within the solid tissue components of the tumors. The variations of FA were evaluated by determining the range of FA values and the maximum SDs of FA. The variations of FA values among different tumor grades were compared statistically. We also correlated FA variations with minimum FA and maximum FA.

RESULTS: The maximum FA, FA range, and maximum SD for grade II tumors were significantly lower than those for grade III and IV tumors ( P &lt; .0001 ∼ P = .0164). A very good correlation of maximum FA to FA range ( r = 0.931) and maximum SD ( r = 0.889) was observed.

CONCLUSIONS: The FA range and maximum SD appear useful for differentiating low- and high-grade gliomas. This analysis added value to the findings on conventional MR imaging. In addition, focal maximum FA is a key factor contributing to the larger FA variation within high-grade gliomas.

ANOVA
:   analysis of variance
ASSET
:   array spatial sensitivity encoding technique
FA
:   fractional anisotropy
FLAIR
:   fluid-attenuated inversion recovery
FSE
:   fast spin-echo
ROC
:   receiver operating characteristic analysis" />
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    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">vol. 32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">no. 2 </span><span  class="highwire-cite-metadata-page-string highwire-cite-metadata">374-381 </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">M.L.</span> <span class="nlm-surname">White</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">Y.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.</span> <span class="nlm-surname">Yu</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">S.A.</span> <span class="nlm-surname">Jaffar Kazmi</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">Feb 2011, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(2) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">374-381; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A2267 </span></div>
  
  
  
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      <div class="highwire-cite-title">Diffusion Tensor MR Imaging of Cerebral Gliomas: Evaluating Fractional Anisotropy Characteristics</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">M.L.</span> <span class="nlm-surname">White</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">Y.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.</span> <span class="nlm-surname">Yu</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">S.A.</span> <span class="nlm-surname">Jaffar Kazmi</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">Feb 2011, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(2) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">374-381; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A2267 </span></div>
  
  
  
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