The Blood Oxygen Level-Dependent Functional MR Imaging Signal Can Be Used to Identify Brain Tumors and Distinguish Them from Normal Tissue
In neuro-oncology, a major problem is clear identification of tumor from the surrounding normal tissue. We hypothesized that we could use the blood oxygen level-dependent functional MR imaging (BOLD fMRI) signals from tumors and normal brain to identify the tumors and distinguish them from the surro...
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| Veröffentlicht in: | American journal of neuroradiology : AJNR 2009-02, Vol.30 (2), p.389-395 |
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| creator | Feldman, S.C Chu, D Schulder, M Barry, M Cho, E.-S Liu, W.-C |
| description | In neuro-oncology, a major problem is clear identification of tumor from the surrounding normal tissue. We hypothesized that we could use the blood oxygen level-dependent functional MR imaging (BOLD fMRI) signals from tumors and normal brain to identify the tumors and distinguish them from the surrounding brain.
Fourteen patients with meningiomas, gliomas, and metastatic tumors were scanned before surgery. All subjects performed a motor task; 2 subjects were also scanned while in a resting state. The BOLD signals were taken from selected points within the tumor and from the surrounding normal brain and were analyzed by using correlation analysis to determine how closely they were related.
The BOLD signals from all of the tumors were significantly different from those in the surrounding normal tissue. In meningiomas and gliomas, selection of a voxel in the tumor for signal-intensity analysis highlighted the entire tumor mass while excluding the normal tissue. The BOLD signal intensity was the same whether the subjects were motionless or finger tapping.
Analysis of the BOLD signal intensity provides a relatively simple and straightforward method for identifying brain tumors and distinguishing them from normal tissue. This approach may be of use in neurosurgery. |
| doi_str_mv | 10.3174/ajnr.A1326 |
| format | Article |
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Fourteen patients with meningiomas, gliomas, and metastatic tumors were scanned before surgery. All subjects performed a motor task; 2 subjects were also scanned while in a resting state. The BOLD signals were taken from selected points within the tumor and from the surrounding normal brain and were analyzed by using correlation analysis to determine how closely they were related.
The BOLD signals from all of the tumors were significantly different from those in the surrounding normal tissue. In meningiomas and gliomas, selection of a voxel in the tumor for signal-intensity analysis highlighted the entire tumor mass while excluding the normal tissue. The BOLD signal intensity was the same whether the subjects were motionless or finger tapping.
Analysis of the BOLD signal intensity provides a relatively simple and straightforward method for identifying brain tumors and distinguishing them from normal tissue. This approach may be of use in neurosurgery.</description><identifier>ISSN: 0195-6108</identifier><identifier>EISSN: 1936-959X</identifier><identifier>DOI: 10.3174/ajnr.A1326</identifier><identifier>PMID: 19208905</identifier><identifier>CODEN: AAJNDL</identifier><language>eng</language><publisher>Oak Brook, IL: Am Soc Neuroradiology</publisher><subject>Adenocarcinoma - diagnosis ; Adenocarcinoma - metabolism ; Adenocarcinoma - secondary ; Adult ; Biological and medical sciences ; Brain Neoplasms - diagnosis ; Brain Neoplasms - metabolism ; Brain Neoplasms - secondary ; Electrodiagnosis. Electric activity recording ; Female ; Functional ; Glioma - diagnosis ; Glioma - metabolism ; Glioma - secondary ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Magnetic Resonance Imaging - methods ; Male ; Medical sciences ; Melanoma - diagnosis ; Melanoma - metabolism ; Melanoma - secondary ; Meningeal Neoplasms - diagnosis ; Meningeal Neoplasms - metabolism ; Meningioma - diagnosis ; Meningioma - metabolism ; Middle Aged ; Nervous system ; Oxygen - blood ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Retrospective Studies ; Skin Neoplasms - pathology</subject><ispartof>American journal of neuroradiology : AJNR, 2009-02, Vol.30 (2), p.389-395</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright © American Society of Neuroradiology 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-45f98f4cc3b503ca5f649001624870bf79a96d63aad95a3b76fddf70dd3154923</citedby><cites>FETCH-LOGICAL-c436t-45f98f4cc3b503ca5f649001624870bf79a96d63aad95a3b76fddf70dd3154923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051372/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051372/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21146588$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19208905$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Feldman, S.C</creatorcontrib><creatorcontrib>Chu, D</creatorcontrib><creatorcontrib>Schulder, M</creatorcontrib><creatorcontrib>Barry, M</creatorcontrib><creatorcontrib>Cho, E.-S</creatorcontrib><creatorcontrib>Liu, W.-C</creatorcontrib><title>The Blood Oxygen Level-Dependent Functional MR Imaging Signal Can Be Used to Identify Brain Tumors and Distinguish Them from Normal Tissue</title><title>American journal of neuroradiology : AJNR</title><addtitle>AJNR Am J Neuroradiol</addtitle><description>In neuro-oncology, a major problem is clear identification of tumor from the surrounding normal tissue. We hypothesized that we could use the blood oxygen level-dependent functional MR imaging (BOLD fMRI) signals from tumors and normal brain to identify the tumors and distinguish them from the surrounding brain.
Fourteen patients with meningiomas, gliomas, and metastatic tumors were scanned before surgery. All subjects performed a motor task; 2 subjects were also scanned while in a resting state. The BOLD signals were taken from selected points within the tumor and from the surrounding normal brain and were analyzed by using correlation analysis to determine how closely they were related.
The BOLD signals from all of the tumors were significantly different from those in the surrounding normal tissue. In meningiomas and gliomas, selection of a voxel in the tumor for signal-intensity analysis highlighted the entire tumor mass while excluding the normal tissue. The BOLD signal intensity was the same whether the subjects were motionless or finger tapping.
Analysis of the BOLD signal intensity provides a relatively simple and straightforward method for identifying brain tumors and distinguishing them from normal tissue. This approach may be of use in neurosurgery.</description><subject>Adenocarcinoma - diagnosis</subject><subject>Adenocarcinoma - metabolism</subject><subject>Adenocarcinoma - secondary</subject><subject>Adult</subject><subject>Biological and medical sciences</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - metabolism</subject><subject>Brain Neoplasms - secondary</subject><subject>Electrodiagnosis. Electric activity recording</subject><subject>Female</subject><subject>Functional</subject><subject>Glioma - diagnosis</subject><subject>Glioma - metabolism</subject><subject>Glioma - secondary</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Melanoma - diagnosis</subject><subject>Melanoma - metabolism</subject><subject>Melanoma - secondary</subject><subject>Meningeal Neoplasms - diagnosis</subject><subject>Meningeal Neoplasms - metabolism</subject><subject>Meningioma - diagnosis</subject><subject>Meningioma - metabolism</subject><subject>Middle Aged</subject><subject>Nervous system</subject><subject>Oxygen - blood</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Retrospective Studies</subject><subject>Skin Neoplasms - pathology</subject><issn>0195-6108</issn><issn>1936-959X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkc9u1DAQhy1ERZfChQdAvsABKa0dx058QepuaVlpoRJsJW6W138SV4m9tZMu-wo8dRO6auE0kuebb0b-AfAOo1OCy-JM3vp4eo5Jzl6AGeaEZZzyXy_BDGFOM4ZRdQxep3SLEKK8zF-BY8xzVHFEZ-DPujFw3oag4fXvfW08XJl702YXZmu8Nr6Hl4NXvQtetvDbD7jsZO18DX-6enpZSA_nBt4ko2Ef4HKacHYP51E6D9dDF2KC0mt44VI_zg0uNXBc2UEbQwe_h9iNlrVLaTBvwJGVbTJvD_UE3Fx-WS--Zqvrq-XifJWpgrA-K6jllS2UIhuKiJLUsoIjhFleVCXa2JJLzjQjUmpOJdmUzGptS6Q1wbTgOTkBnx-922HTGa3Gk6NsxTa6Tsa9CNKJ_zveNaIO96JEFJNyEnw8CGK4G0zqReeSMm0rvQlDEoxxnJecjeCnR1DFkFI09mkJRmKKTkzRib_RjfD7f896Rg9ZjcCHAyCTkq2N0iuXnrgc44LRqnrmGlc3OxeNSOMnt6MWi91uR5DIBak4eQBmQ7C5</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Feldman, S.C</creator><creator>Chu, D</creator><creator>Schulder, M</creator><creator>Barry, M</creator><creator>Cho, E.-S</creator><creator>Liu, W.-C</creator><general>Am Soc Neuroradiology</general><general>American Society of Neuroradiology</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090201</creationdate><title>The Blood Oxygen Level-Dependent Functional MR Imaging Signal Can Be Used to Identify Brain Tumors and Distinguish Them from Normal Tissue</title><author>Feldman, S.C ; Chu, D ; Schulder, M ; Barry, M ; Cho, E.-S ; Liu, W.-C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-45f98f4cc3b503ca5f649001624870bf79a96d63aad95a3b76fddf70dd3154923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adenocarcinoma - diagnosis</topic><topic>Adenocarcinoma - metabolism</topic><topic>Adenocarcinoma - secondary</topic><topic>Adult</topic><topic>Biological and medical sciences</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - metabolism</topic><topic>Brain Neoplasms - secondary</topic><topic>Electrodiagnosis. Electric activity recording</topic><topic>Female</topic><topic>Functional</topic><topic>Glioma - diagnosis</topic><topic>Glioma - metabolism</topic><topic>Glioma - secondary</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Melanoma - diagnosis</topic><topic>Melanoma - metabolism</topic><topic>Melanoma - secondary</topic><topic>Meningeal Neoplasms - diagnosis</topic><topic>Meningeal Neoplasms - metabolism</topic><topic>Meningioma - diagnosis</topic><topic>Meningioma - metabolism</topic><topic>Middle Aged</topic><topic>Nervous system</topic><topic>Oxygen - blood</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Retrospective Studies</topic><topic>Skin Neoplasms - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feldman, S.C</creatorcontrib><creatorcontrib>Chu, D</creatorcontrib><creatorcontrib>Schulder, M</creatorcontrib><creatorcontrib>Barry, M</creatorcontrib><creatorcontrib>Cho, E.-S</creatorcontrib><creatorcontrib>Liu, W.-C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of neuroradiology : AJNR</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feldman, S.C</au><au>Chu, D</au><au>Schulder, M</au><au>Barry, M</au><au>Cho, E.-S</au><au>Liu, W.-C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Blood Oxygen Level-Dependent Functional MR Imaging Signal Can Be Used to Identify Brain Tumors and Distinguish Them from Normal Tissue</atitle><jtitle>American journal of neuroradiology : AJNR</jtitle><addtitle>AJNR Am J Neuroradiol</addtitle><date>2009-02-01</date><risdate>2009</risdate><volume>30</volume><issue>2</issue><spage>389</spage><epage>395</epage><pages>389-395</pages><issn>0195-6108</issn><eissn>1936-959X</eissn><coden>AAJNDL</coden><abstract>In neuro-oncology, a major problem is clear identification of tumor from the surrounding normal tissue. We hypothesized that we could use the blood oxygen level-dependent functional MR imaging (BOLD fMRI) signals from tumors and normal brain to identify the tumors and distinguish them from the surrounding brain.
Fourteen patients with meningiomas, gliomas, and metastatic tumors were scanned before surgery. All subjects performed a motor task; 2 subjects were also scanned while in a resting state. The BOLD signals were taken from selected points within the tumor and from the surrounding normal brain and were analyzed by using correlation analysis to determine how closely they were related.
The BOLD signals from all of the tumors were significantly different from those in the surrounding normal tissue. In meningiomas and gliomas, selection of a voxel in the tumor for signal-intensity analysis highlighted the entire tumor mass while excluding the normal tissue. The BOLD signal intensity was the same whether the subjects were motionless or finger tapping.
Analysis of the BOLD signal intensity provides a relatively simple and straightforward method for identifying brain tumors and distinguishing them from normal tissue. This approach may be of use in neurosurgery.</abstract><cop>Oak Brook, IL</cop><pub>Am Soc Neuroradiology</pub><pmid>19208905</pmid><doi>10.3174/ajnr.A1326</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | American journal of neuroradiology : AJNR, 2009-02, Vol.30 (2), p.389-395 |
| issn | 0195-6108 1936-959X |
| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Adenocarcinoma - diagnosis Adenocarcinoma - metabolism Adenocarcinoma - secondary Adult Biological and medical sciences Brain Neoplasms - diagnosis Brain Neoplasms - metabolism Brain Neoplasms - secondary Electrodiagnosis. Electric activity recording Female Functional Glioma - diagnosis Glioma - metabolism Glioma - secondary Humans Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging - methods Male Medical sciences Melanoma - diagnosis Melanoma - metabolism Melanoma - secondary Meningeal Neoplasms - diagnosis Meningeal Neoplasms - metabolism Meningioma - diagnosis Meningioma - metabolism Middle Aged Nervous system Oxygen - blood Radiodiagnosis. Nmr imagery. Nmr spectrometry Retrospective Studies Skin Neoplasms - pathology |
| title | The Blood Oxygen Level-Dependent Functional MR Imaging Signal Can Be Used to Identify Brain Tumors and Distinguish Them from Normal Tissue |
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