Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T
Background Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature. Purpose T...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2019-12, Vol.50 (6), p.1817-1823 |
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| creator | Li, Xiaodan Liao, Shukun Hua, Jun Guo, Liuji Wang, Danni Xiao, Xiang Zhou, Jun Liu, Xiaomin Tan, Yuefa Lu, Lijun Xu, Yikai Wu, Yuankui |
| description | Background
Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature.
Purpose
To assess the diagnostic performance of iVASO MRI implemented at 3T in predicting histologic grades of cerebral gliomas.
Study Type
Retrospective.
Subjects
Forty‐five patients (31 males) consisting of 14 WHO grade IV glioblastoma multiformes, 14 grade III, and 17 grade II gliomas.
Field Strength/Sequence
At 3T we acquired CBVa data using an iVASO sequence.
Assessment
The maximum and mean CBVa (CBVa_max and CBVa_mean) values were calculated in the tumor and normalized to the contralateral thalamus (nCBVa_max and nCBVa_mean).
Statistical Tests
Kruskal–Wallis test, Mann–Whitney test, and receiver operating characteristics (ROC) curve were used for statistical analysis.
Results
Both CBVa_max and nCBVa_max increased with tumor grade (P < 0.001). Grade II gliomas showed CBVa_max 1.20 in 13/14 cases, and CBVa_max 2.33 in 13/14 cases. The areas under the ROC curve, sensitivity, and specificity were 0.839 (P < 0.001), 92.9% (26/28), and 64.7% (11/17) for CBVa_max, and 0.883 (P < 0.001), 92.9% (26/28), and 70.6% (12/17) for nCBVa_max in the discrimination between grade II and high‐grade (grade III and grade IV) tumors, respectively.
Data Conclusion
iVASO MRI might be used to help determine and predict glioma grade.
Level of Evidence: 4
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1817–1823. |
| doi_str_mv | 10.1002/jmri.26741 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2201710849</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2314490693</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3571-3d45658b7f7073aafead3030a6b783523993966fc1be56850c211564ca33c1b3</originalsourceid><addsrcrecordid>eNp9kc1u1DAUha0K1D-64QGQJTaoUortGzsxu6Giw6CiIjoqS-uO44BHSTzYiarZ9RH6jH0SXKawYMHqXF19Orr3HEJecnbGGRNv1330Z0JVJd8jh1wKUQhZq2d5ZhIKXrPqgByltGaMaV3KfXIATIMQtT4k_SylYD2OPgw0tHTe-dAjnUds_PCdfvPjD7oY2i7cPtzdv8fkGnqDyU4dxry43qB1Wa-snTY42C39_HXxjs7ol-g63_sB45Zej1OzpThSWL4gz1vskjt50mOyvPiwPP9YXF7NF-ezy8KCrHgBTSmVrFdVW7EKEFuHDTBgqFZVDVKA1qCVai1fOalqyazgXKrSIkDewTF5s7PdxPBzcmk0vU_WdR0OLkzJCMF4xVld6oy-_gddhykO-TgjgJelZkpDpk53lI0hpehas4m-z88ZzsxjB-axA_O7gwy_erKcVr1r_qJ_Qs8A3wG3vnPb_1iZTznOnekvY_qSPw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2314490693</pqid></control><display><type>article</type><title>Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Wiley Online Library Free Content</source><creator>Li, Xiaodan ; Liao, Shukun ; Hua, Jun ; Guo, Liuji ; Wang, Danni ; Xiao, Xiang ; Zhou, Jun ; Liu, Xiaomin ; Tan, Yuefa ; Lu, Lijun ; Xu, Yikai ; Wu, Yuankui</creator><creatorcontrib>Li, Xiaodan ; Liao, Shukun ; Hua, Jun ; Guo, Liuji ; Wang, Danni ; Xiao, Xiang ; Zhou, Jun ; Liu, Xiaomin ; Tan, Yuefa ; Lu, Lijun ; Xu, Yikai ; Wu, Yuankui</creatorcontrib><description><![CDATA[Background
Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature.
Purpose
To assess the diagnostic performance of iVASO MRI implemented at 3T in predicting histologic grades of cerebral gliomas.
Study Type
Retrospective.
Subjects
Forty‐five patients (31 males) consisting of 14 WHO grade IV glioblastoma multiformes, 14 grade III, and 17 grade II gliomas.
Field Strength/Sequence
At 3T we acquired CBVa data using an iVASO sequence.
Assessment
The maximum and mean CBVa (CBVa_max and CBVa_mean) values were calculated in the tumor and normalized to the contralateral thalamus (nCBVa_max and nCBVa_mean).
Statistical Tests
Kruskal–Wallis test, Mann–Whitney test, and receiver operating characteristics (ROC) curve were used for statistical analysis.
Results
Both CBVa_max and nCBVa_max increased with tumor grade (P < 0.001). Grade II gliomas showed CBVa_max <0.78 ml / 100 ml in 10/17 cases and nCBVa_max <1.20 in 11/17 cases. Grade III gliomas showed both CBVa_max >0.78 ml / 100 ml and nCBVa_max >1.20 in 13/14 cases, and CBVa_max <2.06 ml / 100 ml in 13/14 cases and nCBVa_max <2.33 in 11/14 cases. Grade IV gliomas showed CBVa_max >2.06 ml / 100 ml in 9/14 cases and nCBVa_max >2.33 in 13/14 cases. The areas under the ROC curve, sensitivity, and specificity were 0.839 (P < 0.001), 92.9% (26/28), and 64.7% (11/17) for CBVa_max, and 0.883 (P < 0.001), 92.9% (26/28), and 70.6% (12/17) for nCBVa_max in the discrimination between grade II and high‐grade (grade III and grade IV) tumors, respectively.
Data Conclusion
iVASO MRI might be used to help determine and predict glioma grade.
Level of Evidence: 4
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1817–1823.]]></description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26741</identifier><identifier>PMID: 30932289</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Blood volume ; Brain cancer ; brain tumor ; Brain tumors ; Cerebral blood flow ; cerebral blood volume ; Contrast agents ; Data acquisition ; Diagnostic systems ; Field strength ; Glioblastoma ; Glioma ; histologic grade ; Inflow ; inflow‐based vascular‐space‐occupancy ; Magnetic resonance imaging ; Males ; Microvasculature ; MR imaging ; Occupancy ; Perfusion ; perfusion‐weighted imaging ; Statistical analysis ; Statistical tests ; Thalamus ; Tumors</subject><ispartof>Journal of magnetic resonance imaging, 2019-12, Vol.50 (6), p.1817-1823</ispartof><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>2019 International Society for Magnetic Resonance in Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3571-3d45658b7f7073aafead3030a6b783523993966fc1be56850c211564ca33c1b3</citedby><cites>FETCH-LOGICAL-c3571-3d45658b7f7073aafead3030a6b783523993966fc1be56850c211564ca33c1b3</cites><orcidid>0000-0001-6514-7896</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.26741$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.26741$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30932289$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xiaodan</creatorcontrib><creatorcontrib>Liao, Shukun</creatorcontrib><creatorcontrib>Hua, Jun</creatorcontrib><creatorcontrib>Guo, Liuji</creatorcontrib><creatorcontrib>Wang, Danni</creatorcontrib><creatorcontrib>Xiao, Xiang</creatorcontrib><creatorcontrib>Zhou, Jun</creatorcontrib><creatorcontrib>Liu, Xiaomin</creatorcontrib><creatorcontrib>Tan, Yuefa</creatorcontrib><creatorcontrib>Lu, Lijun</creatorcontrib><creatorcontrib>Xu, Yikai</creatorcontrib><creatorcontrib>Wu, Yuankui</creatorcontrib><title>Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description><![CDATA[Background
Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature.
Purpose
To assess the diagnostic performance of iVASO MRI implemented at 3T in predicting histologic grades of cerebral gliomas.
Study Type
Retrospective.
Subjects
Forty‐five patients (31 males) consisting of 14 WHO grade IV glioblastoma multiformes, 14 grade III, and 17 grade II gliomas.
Field Strength/Sequence
At 3T we acquired CBVa data using an iVASO sequence.
Assessment
The maximum and mean CBVa (CBVa_max and CBVa_mean) values were calculated in the tumor and normalized to the contralateral thalamus (nCBVa_max and nCBVa_mean).
Statistical Tests
Kruskal–Wallis test, Mann–Whitney test, and receiver operating characteristics (ROC) curve were used for statistical analysis.
Results
Both CBVa_max and nCBVa_max increased with tumor grade (P < 0.001). Grade II gliomas showed CBVa_max <0.78 ml / 100 ml in 10/17 cases and nCBVa_max <1.20 in 11/17 cases. Grade III gliomas showed both CBVa_max >0.78 ml / 100 ml and nCBVa_max >1.20 in 13/14 cases, and CBVa_max <2.06 ml / 100 ml in 13/14 cases and nCBVa_max <2.33 in 11/14 cases. Grade IV gliomas showed CBVa_max >2.06 ml / 100 ml in 9/14 cases and nCBVa_max >2.33 in 13/14 cases. The areas under the ROC curve, sensitivity, and specificity were 0.839 (P < 0.001), 92.9% (26/28), and 64.7% (11/17) for CBVa_max, and 0.883 (P < 0.001), 92.9% (26/28), and 70.6% (12/17) for nCBVa_max in the discrimination between grade II and high‐grade (grade III and grade IV) tumors, respectively.
Data Conclusion
iVASO MRI might be used to help determine and predict glioma grade.
Level of Evidence: 4
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1817–1823.]]></description><subject>Blood volume</subject><subject>Brain cancer</subject><subject>brain tumor</subject><subject>Brain tumors</subject><subject>Cerebral blood flow</subject><subject>cerebral blood volume</subject><subject>Contrast agents</subject><subject>Data acquisition</subject><subject>Diagnostic systems</subject><subject>Field strength</subject><subject>Glioblastoma</subject><subject>Glioma</subject><subject>histologic grade</subject><subject>Inflow</subject><subject>inflow‐based vascular‐space‐occupancy</subject><subject>Magnetic resonance imaging</subject><subject>Males</subject><subject>Microvasculature</subject><subject>MR imaging</subject><subject>Occupancy</subject><subject>Perfusion</subject><subject>perfusion‐weighted imaging</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Thalamus</subject><subject>Tumors</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAUha0K1D-64QGQJTaoUortGzsxu6Giw6CiIjoqS-uO44BHSTzYiarZ9RH6jH0SXKawYMHqXF19Orr3HEJecnbGGRNv1330Z0JVJd8jh1wKUQhZq2d5ZhIKXrPqgByltGaMaV3KfXIATIMQtT4k_SylYD2OPgw0tHTe-dAjnUds_PCdfvPjD7oY2i7cPtzdv8fkGnqDyU4dxry43qB1Wa-snTY42C39_HXxjs7ol-g63_sB45Zej1OzpThSWL4gz1vskjt50mOyvPiwPP9YXF7NF-ezy8KCrHgBTSmVrFdVW7EKEFuHDTBgqFZVDVKA1qCVai1fOalqyazgXKrSIkDewTF5s7PdxPBzcmk0vU_WdR0OLkzJCMF4xVld6oy-_gddhykO-TgjgJelZkpDpk53lI0hpehas4m-z88ZzsxjB-axA_O7gwy_erKcVr1r_qJ_Qs8A3wG3vnPb_1iZTznOnekvY_qSPw</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Li, Xiaodan</creator><creator>Liao, Shukun</creator><creator>Hua, Jun</creator><creator>Guo, Liuji</creator><creator>Wang, Danni</creator><creator>Xiao, Xiang</creator><creator>Zhou, Jun</creator><creator>Liu, Xiaomin</creator><creator>Tan, Yuefa</creator><creator>Lu, Lijun</creator><creator>Xu, Yikai</creator><creator>Wu, Yuankui</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6514-7896</orcidid></search><sort><creationdate>201912</creationdate><title>Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T</title><author>Li, Xiaodan ; Liao, Shukun ; Hua, Jun ; Guo, Liuji ; Wang, Danni ; Xiao, Xiang ; Zhou, Jun ; Liu, Xiaomin ; Tan, Yuefa ; Lu, Lijun ; Xu, Yikai ; Wu, Yuankui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3571-3d45658b7f7073aafead3030a6b783523993966fc1be56850c211564ca33c1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Blood volume</topic><topic>Brain cancer</topic><topic>brain tumor</topic><topic>Brain tumors</topic><topic>Cerebral blood flow</topic><topic>cerebral blood volume</topic><topic>Contrast agents</topic><topic>Data acquisition</topic><topic>Diagnostic systems</topic><topic>Field strength</topic><topic>Glioblastoma</topic><topic>Glioma</topic><topic>histologic grade</topic><topic>Inflow</topic><topic>inflow‐based vascular‐space‐occupancy</topic><topic>Magnetic resonance imaging</topic><topic>Males</topic><topic>Microvasculature</topic><topic>MR imaging</topic><topic>Occupancy</topic><topic>Perfusion</topic><topic>perfusion‐weighted imaging</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Thalamus</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiaodan</creatorcontrib><creatorcontrib>Liao, Shukun</creatorcontrib><creatorcontrib>Hua, Jun</creatorcontrib><creatorcontrib>Guo, Liuji</creatorcontrib><creatorcontrib>Wang, Danni</creatorcontrib><creatorcontrib>Xiao, Xiang</creatorcontrib><creatorcontrib>Zhou, Jun</creatorcontrib><creatorcontrib>Liu, Xiaomin</creatorcontrib><creatorcontrib>Tan, Yuefa</creatorcontrib><creatorcontrib>Lu, Lijun</creatorcontrib><creatorcontrib>Xu, Yikai</creatorcontrib><creatorcontrib>Wu, Yuankui</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiaodan</au><au>Liao, Shukun</au><au>Hua, Jun</au><au>Guo, Liuji</au><au>Wang, Danni</au><au>Xiao, Xiang</au><au>Zhou, Jun</au><au>Liu, Xiaomin</au><au>Tan, Yuefa</au><au>Lu, Lijun</au><au>Xu, Yikai</au><au>Wu, Yuankui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2019-12</date><risdate>2019</risdate><volume>50</volume><issue>6</issue><spage>1817</spage><epage>1823</epage><pages>1817-1823</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract><![CDATA[Background
Inflow‐based vascular‐space‐occupancy (iVASO) MRI is a noninvasive perfusion technique that does not require administration of exogenous contrast agents. Arteriolar cerebral blood volume (CBVa) obtained from iVASO MRI is hypothesized to be an indicator of tumor microvasculature.
Purpose
To assess the diagnostic performance of iVASO MRI implemented at 3T in predicting histologic grades of cerebral gliomas.
Study Type
Retrospective.
Subjects
Forty‐five patients (31 males) consisting of 14 WHO grade IV glioblastoma multiformes, 14 grade III, and 17 grade II gliomas.
Field Strength/Sequence
At 3T we acquired CBVa data using an iVASO sequence.
Assessment
The maximum and mean CBVa (CBVa_max and CBVa_mean) values were calculated in the tumor and normalized to the contralateral thalamus (nCBVa_max and nCBVa_mean).
Statistical Tests
Kruskal–Wallis test, Mann–Whitney test, and receiver operating characteristics (ROC) curve were used for statistical analysis.
Results
Both CBVa_max and nCBVa_max increased with tumor grade (P < 0.001). Grade II gliomas showed CBVa_max <0.78 ml / 100 ml in 10/17 cases and nCBVa_max <1.20 in 11/17 cases. Grade III gliomas showed both CBVa_max >0.78 ml / 100 ml and nCBVa_max >1.20 in 13/14 cases, and CBVa_max <2.06 ml / 100 ml in 13/14 cases and nCBVa_max <2.33 in 11/14 cases. Grade IV gliomas showed CBVa_max >2.06 ml / 100 ml in 9/14 cases and nCBVa_max >2.33 in 13/14 cases. The areas under the ROC curve, sensitivity, and specificity were 0.839 (P < 0.001), 92.9% (26/28), and 64.7% (11/17) for CBVa_max, and 0.883 (P < 0.001), 92.9% (26/28), and 70.6% (12/17) for nCBVa_max in the discrimination between grade II and high‐grade (grade III and grade IV) tumors, respectively.
Data Conclusion
iVASO MRI might be used to help determine and predict glioma grade.
Level of Evidence: 4
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;50:1817–1823.]]></abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>30932289</pmid><doi>10.1002/jmri.26741</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-6514-7896</orcidid></addata></record> |
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| ispartof | Journal of magnetic resonance imaging, 2019-12, Vol.50 (6), p.1817-1823 |
| issn | 1053-1807 1522-2586 |
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| source | Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content |
| subjects | Blood volume Brain cancer brain tumor Brain tumors Cerebral blood flow cerebral blood volume Contrast agents Data acquisition Diagnostic systems Field strength Glioblastoma Glioma histologic grade Inflow inflow‐based vascular‐space‐occupancy Magnetic resonance imaging Males Microvasculature MR imaging Occupancy Perfusion perfusion‐weighted imaging Statistical analysis Statistical tests Thalamus Tumors |
| title | Association of Glioma Grading With Inflow‐Based Vascular‐Space‐Occupancy MRI: A Preliminary Study at 3T |
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