Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging
Dynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascu...
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| Veröffentlicht in: | Cancer imaging 2015-03, Vol.15 (1), p.4-4, Article 4 |
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| creator | Li, Xiaoguang Zhu, Yongshan Kang, Houyi Zhang, Yulong Liang, Huaping Wang, Sumei Zhang, Weiguo |
| description | Dynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascular extracellular space (EES) per unit volume of tissue (Ve) derived from DCE-MRI, and the degree of ITSS in glioma grading.
Thirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade.
Ktrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P |
| doi_str_mv | 10.1186/s40644-015-0039-z |
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Thirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade.
Ktrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P<0.01). The degree of ITSS of LGGs was lower than HGGs (P<0.01), and the ITSS of grade II gliomas was lower than grade III or IV gliomas. Ktrans and Ve were correlated with glioma grade (P<0.01), while ITSS was moderately correlated (P<0.01). Ktrans values were moderately correlated with ITSS in the same segments (P<0.01).
Ktrans and Ve values, and ITSS helped distinguish the differences between LGGs and HGGs and between grade II, III and IV gliomas. There was a moderate correlation between Ktrans and ITSS in the same tumor segments.</description><identifier>ISSN: 1470-7330</identifier><identifier>ISSN: 1740-5025</identifier><identifier>EISSN: 1470-7330</identifier><identifier>DOI: 10.1186/s40644-015-0039-z</identifier><identifier>PMID: 25889239</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Brain Neoplasms - blood supply ; Brain Neoplasms - pathology ; Child ; Diagnosis ; Female ; Glioma - blood supply ; Glioma - pathology ; Gliomas ; Humans ; Image Enhancement ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Retrospective Studies ; ROC Curve ; Young Adult</subject><ispartof>Cancer imaging, 2015-03, Vol.15 (1), p.4-4, Article 4</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Li et al.; licensee BioMed Central. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-59e242261397d75dfd2de564edc3adcbad8570dd5414026d4bb6c942692fdc293</citedby><cites>FETCH-LOGICAL-c493t-59e242261397d75dfd2de564edc3adcbad8570dd5414026d4bb6c942692fdc293</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/PMC4389664/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389664/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25889239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xiaoguang</creatorcontrib><creatorcontrib>Zhu, Yongshan</creatorcontrib><creatorcontrib>Kang, Houyi</creatorcontrib><creatorcontrib>Zhang, Yulong</creatorcontrib><creatorcontrib>Liang, Huaping</creatorcontrib><creatorcontrib>Wang, Sumei</creatorcontrib><creatorcontrib>Zhang, Weiguo</creatorcontrib><title>Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging</title><title>Cancer imaging</title><addtitle>Cancer Imaging</addtitle><description>Dynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascular extracellular space (EES) per unit volume of tissue (Ve) derived from DCE-MRI, and the degree of ITSS in glioma grading.
Thirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade.
Ktrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P<0.01). The degree of ITSS of LGGs was lower than HGGs (P<0.01), and the ITSS of grade II gliomas was lower than grade III or IV gliomas. Ktrans and Ve were correlated with glioma grade (P<0.01), while ITSS was moderately correlated (P<0.01). Ktrans values were moderately correlated with ITSS in the same segments (P<0.01).
Ktrans and Ve values, and ITSS helped distinguish the differences between LGGs and HGGs and between grade II, III and IV gliomas. There was a moderate correlation between Ktrans and ITSS in the same tumor segments.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Brain Neoplasms - blood supply</subject><subject>Brain Neoplasms - pathology</subject><subject>Child</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Glioma - blood supply</subject><subject>Glioma - pathology</subject><subject>Gliomas</subject><subject>Humans</subject><subject>Image Enhancement</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Young Adult</subject><issn>1470-7330</issn><issn>1740-5025</issn><issn>1470-7330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptUt2K1DAYLaK46-oDeCMBQbzpmr-mzY2wLLourAii1yFN0jaSJmOSjsw-kw9pyozLjEguEr7vnJPzJaeqXiJ4iVDH3iUKGaU1RE0NIeH1_aPqHNEW1i0h8PHR-ax6ltIPCDHvePu0OsNN13FM-Hn1-8bZMEswRqmtH0G_A7NVMWxlUouTEWxMnI3srbN5BzYyytlkExPQJtqt0WCIYQZ652WhARV8jjLl2vhJelXan7_eAuk1sGsjL3OI0oG0JGU22R5Ukx19qQb_b-OXseOUi4qd5VjcPa-eDNIl8-KwX1TfP374dv2pvvtyc3t9dVcrykmuG24wxZghwlvdNnrQWJuGUaMVkVr1UndNC7VuKKIQM037nilOMeN40ApzclG93-tuln4uLLOad2ITi4-4E0FacdrxdhJj2ApKOs4YLQJvDwIx_FxMymK2ZTLnpDdhSQKxllLaQbje9XoPHaUzwvohFEW1wsVVMci6BqOuoC7_gypLm_LuwZvBlvoJ4c0RYTLS5SkFt2QbfDoFoj2wfHpK0QwPYyIo1pSJfcpESZlYUybuC-fV8fs8MP7GivwB-MDS9w</recordid><startdate>20150321</startdate><enddate>20150321</enddate><creator>Li, Xiaoguang</creator><creator>Zhu, Yongshan</creator><creator>Kang, Houyi</creator><creator>Zhang, Yulong</creator><creator>Liang, Huaping</creator><creator>Wang, Sumei</creator><creator>Zhang, Weiguo</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>20150321</creationdate><title>Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging</title><author>Li, Xiaoguang ; Zhu, Yongshan ; Kang, Houyi ; Zhang, Yulong ; Liang, Huaping ; Wang, Sumei ; Zhang, Weiguo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-59e242261397d75dfd2de564edc3adcbad8570dd5414026d4bb6c942692fdc293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Brain Neoplasms - blood supply</topic><topic>Brain Neoplasms - pathology</topic><topic>Child</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Glioma - blood supply</topic><topic>Glioma - pathology</topic><topic>Gliomas</topic><topic>Humans</topic><topic>Image Enhancement</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiaoguang</creatorcontrib><creatorcontrib>Zhu, Yongshan</creatorcontrib><creatorcontrib>Kang, Houyi</creatorcontrib><creatorcontrib>Zhang, Yulong</creatorcontrib><creatorcontrib>Liang, Huaping</creatorcontrib><creatorcontrib>Wang, Sumei</creatorcontrib><creatorcontrib>Zhang, Weiguo</creatorcontrib><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>Cancer imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiaoguang</au><au>Zhu, Yongshan</au><au>Kang, Houyi</au><au>Zhang, Yulong</au><au>Liang, Huaping</au><au>Wang, Sumei</au><au>Zhang, Weiguo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging</atitle><jtitle>Cancer imaging</jtitle><addtitle>Cancer Imaging</addtitle><date>2015-03-21</date><risdate>2015</risdate><volume>15</volume><issue>1</issue><spage>4</spage><epage>4</epage><pages>4-4</pages><artnum>4</artnum><issn>1470-7330</issn><issn>1740-5025</issn><eissn>1470-7330</eissn><abstract>Dynamic contrast-enhanced MRI (DCE-MRI) estimates vascular permeability of brain tumors, and susceptibility-weighted imaging (SWI) may demonstrate tumor vascularity by intratumoral susceptibility signals (ITSS). This study assessed volume transfer constant (Ktrans) accuracy, the volume of extravascular extracellular space (EES) per unit volume of tissue (Ve) derived from DCE-MRI, and the degree of ITSS in glioma grading.
Thirty-two patients with different glioma grades were enrolled in this retrospective study. Patients underwent DCE-MRI and non-contrast enhanced SWI by three-tesla scanning. Ktrans values, Ve, and the degree of ITSS in glioma were compared. Receiver operating characteristic (ROC) curve analysis determined diagnostic performances of Ktrans and Ve in glioma grading, and Spearman's correlation analysis determined the associations between Ktrans, Ve, ITSS, and tumor grade.
Ktrans and Ve values were significantly different between low grade gliomas (LGGs) and both high grade gliomas (HGGs) and grade II, III and IV gliomas (P<0.01). The degree of ITSS of LGGs was lower than HGGs (P<0.01), and the ITSS of grade II gliomas was lower than grade III or IV gliomas. Ktrans and Ve were correlated with glioma grade (P<0.01), while ITSS was moderately correlated (P<0.01). Ktrans values were moderately correlated with ITSS in the same segments (P<0.01).
Ktrans and Ve values, and ITSS helped distinguish the differences between LGGs and HGGs and between grade II, III and IV gliomas. There was a moderate correlation between Ktrans and ITSS in the same tumor segments.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>25889239</pmid><doi>10.1186/s40644-015-0039-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Aged Brain Neoplasms - blood supply Brain Neoplasms - pathology Child Diagnosis Female Glioma - blood supply Glioma - pathology Gliomas Humans Image Enhancement Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Middle Aged Retrospective Studies ROC Curve Young Adult |
| title | Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging |
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