<?xml version="1.0" encoding="UTF-8" ?>

    <journal>
    <language>en</language>
    <journal_id_issn>2008-2835</journal_id_issn>
    <journal_id_issn_online>2008-4625</journal_id_issn_online>
    <journal_id_pii></journal_id_pii>
    <journal_id_doi></journal_id_doi>
    <journal_id_isnet></journal_id_isnet>
    <journal_id_iranmedex>276</journal_id_iranmedex>
    <journal_id_magiran>5669</journal_id_magiran>
    <journal_id_sid>11181</journal_id_sid>
    <pubdate>
	    <type>gregorian</type>
	    <year>>2020</year>
	    <month>>April-June</month>
	    <day></day>
    </pubdate>
    <volume>12</volume>
    <number>2</number>
    <publish_type>online</publish_type>
    <publish_edition>1</publish_edition>
    <article_type>fulltext</article_type>
    <articleset>

<article>
	<language>en</language>
	<article_id_issn></article_id_issn>
	<article_id_issn_online></article_id_issn_online>
	<article_id_pubmed>32431795</article_id_pubmed>
	<article_id_pii></article_id_pii>
	<article_id_doi></article_id_doi>
	<article_id_iranmedex></article_id_iranmedex>
	<article_id_magiran></article_id_magiran>
	<article_id_sid></article_id_sid>
	<title_fa></title_fa>
	<title>Analysis of Glioblastoma Multiforme Tumor Metabolites  Using Multivoxel Magnetic Resonance Spectroscopy</title>
	<subject_fa></subject_fa>
	<subject></subject>
	<content_type_fa></content_type_fa>
	<content_type></content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;Background: Glioblastoma Multiforme (GBM) is the most common and deadly type of primary brain tumor in adults. Magnetic Resonance Spectroscopy (MRS) is a non-invasive imaging technique used to study metabolic changes in the brain tumors. Some metabolites such as Phosphocholine, Creatine, NAA/Cr, and Pcho/Cr have been proven to show a diagnostic role in GBM. The present study was conducted to analyze important metabolites using MRS multivoxel in GBM tumor.&lt;/p&gt;

&lt;p&gt;Methods: In this study, information was collected from 8 individuals diagnosed with GBM using Siemens multivoxel MRS with a magnetic field strength of 3 T. Data were obtained by Point-Resolved Spectroscopy (PRESS) protocol with TE=135 &lt;em&gt;ms&lt;/em&gt; and TR=1570 &lt;em&gt;ms&lt;/em&gt;. NAA, Pcho, Cr, Ala, Gln, Gly, Glu, Lac, NAAG, and Tau metabolites were extracted and evaluated statistically.&lt;/p&gt;

&lt;p&gt;Results: Given total number of normal voxels and total number of all voxels, levels of Cr, Glu, NAA, NAAG, and Gly/Tau ratio in healthy voxels were significantly higher than tumoral voxels (p=0.005, p=0.03, p&amp;lt;0.001, p&amp;lt;0.001 and p=0.041, respectively). In contrast, levels of Gly, Gln, Tau, Lac/Cr, Pcho/Cr, Pcho/NAA, Lac/NAA, and Gln/Glu ratios in tumoral voxels were significantly more than healthy voxels (p=0.001, p=0.037, p&amp;lt;0.001, p=0.010, p&amp;lt;0.001, p&amp;lt;0.001, and p=0.024, respectively). However, levels of Lac and Pcho had no significant difference in the two types of voxels.&lt;/p&gt;

&lt;p&gt;Conclusion: In summary, compared to patients with glioblastoma with &lt;sup&gt;1&lt;/sup&gt;H-MRS, the Pcho/Cr and Pcho/NAA ratios, and NAAG are the most important parameters to differentiate between tumoral and normal voxels.&lt;/p&gt;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Glioblastoma multiform, Magnetic resonance spectroscopy, Neurochemical profiles, Voxel</keyword>
	<start_page>107</start_page>
	<end_page>115</end_page>
	<web_url>https://www.ajmb.org/En/Article.aspx?id=20407</web_url>
    <pdf_url>https://www.ajmb.org/PDF/En/FullText/20407.pdf</pdf_url>
	<author_list><author><first_name>Meysam</first_name><middle_name></middle_name><last_name>Siyah Mansoory</last_name><suffix></suffix><affiliation></affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>31599</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Ayob</first_name><middle_name></middle_name><last_name>Faramarzi</last_name><suffix></suffix><affiliation>Department of Biomedical Engineering, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>31524</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Karim</first_name><middle_name></middle_name><last_name>Khoshgard</last_name><suffix></suffix><affiliation>Department of Medical Physics, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>31601</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Hadi</first_name><middle_name></middle_name><last_name>Mozafari</last_name><suffix></suffix><affiliation>Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>31602</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author></author_list>
</article>

</articleset>
</journal>

