Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI
Background. Effect of isocitrate dehydrogenase 1 (IDH1) mutation in neovascularization might be linked with tissue perfusion in gliomas. At present, the need of injection of contrast agent and the increasing scanning time limit the application of perfusion techniques. We used a simplified intravoxel...
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| Veröffentlicht in: | Radiology and oncology 2020-06, Vol.54 (3), p.301-310 |
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| description | Background. Effect of isocitrate dehydrogenase 1 (IDH1) mutation in neovascularization might be linked with tissue perfusion in gliomas. At present, the need of injection of contrast agent and the increasing scanning time limit the application of perfusion techniques. We used a simplified intravoxel incoherent motion (IVIM)-derived perfusion fraction (SPF) calculated from diffusion-weighted imaging (DWI) using only three b-values to quantitatively assess IDH1-linked tissue perfusion changes in WHO grade II-III gliomas (LGGs). Additionally, by comparing accuracy with dynamic contrast-enhanced (DCE) and full IVIM MRI, we tried to find the optimal imaging markers to predict IDH1 mutation status.
Patients and methods. Thirty patients were prospectively examined using DCE and multi-b-value DWI. All parameters were compared between the IDH1 mutant and wild-type LGGs using the Mann-Whitney U test, including the DCE MRI-derived K-trans, V-e and V-p, the conventional apparent diffusion coefficient (ADC(0,1000)), IVIM-derived perfusion fraction (f), diffusion coefficient (D) and pseudo-diffusion coefficient (D*), SPF. We evaluated the diagnostic performance by receiver operating characteristic (ROC) analysis.
Results. Significant differences were detected between WHO grade II-III gliomas for all perfusion and diffusion parameters (P < 0.05). When compared to IDH1 mutant LGGs, IDH1 wild-type LGGs exhibited significantly higher perfusion metrics (P < 0.05) and lower diffusion metrics (P < 0.05). Among all parameters, SPF showed a higher diagnostic performance (area under the curve 0.861), with 94.4% sensitivity and 75% specificity.
Conclusions. DWI, DCE and IVIM MRI may noninvasively help discriminate IDHI mutation statuses in LGGs. Specifically, simplified DWI-derived SPF showed a superior diagnostic performance. |
| doi_str_mv | 10.2478/raon-2020-0037 |
| format | Article |
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Patients and methods. Thirty patients were prospectively examined using DCE and multi-b-value DWI. All parameters were compared between the IDH1 mutant and wild-type LGGs using the Mann-Whitney U test, including the DCE MRI-derived K-trans, V-e and V-p, the conventional apparent diffusion coefficient (ADC(0,1000)), IVIM-derived perfusion fraction (f), diffusion coefficient (D) and pseudo-diffusion coefficient (D*), SPF. We evaluated the diagnostic performance by receiver operating characteristic (ROC) analysis.
Results. Significant differences were detected between WHO grade II-III gliomas for all perfusion and diffusion parameters (P < 0.05). When compared to IDH1 mutant LGGs, IDH1 wild-type LGGs exhibited significantly higher perfusion metrics (P < 0.05) and lower diffusion metrics (P < 0.05). Among all parameters, SPF showed a higher diagnostic performance (area under the curve 0.861), with 94.4% sensitivity and 75% specificity.
Conclusions. DWI, DCE and IVIM MRI may noninvasively help discriminate IDHI mutation statuses in LGGs. Specifically, simplified DWI-derived SPF showed a superior diagnostic performance.</description><identifier>ISSN: 1318-2099</identifier><identifier>ISSN: 1581-3207</identifier><identifier>EISSN: 1581-3207</identifier><identifier>EISSN: 0485-893X</identifier><identifier>DOI: 10.2478/raon-2020-0037</identifier><identifier>PMID: 32559177</identifier><language>eng</language><publisher>BERLIN: Sciendo</publisher><subject>2016 WHO CNS tumor classification ; Contrast agents ; Diagnostic systems ; Diffusion ; Diffusion coefficient ; diffusion-weighted MRI ; dynamic contrast-enhanced MRI ; Glioma ; glioma perfusion ; idh1 mutation ; intravoxel incoherent motion ; Life Sciences & Biomedicine ; Magnetic resonance imaging ; Mathematical analysis ; Medical imaging ; Mutants ; Mutation ; Oncology ; Parameters ; Performance evaluation ; Perfusion ; Radiology, Nuclear Medicine & Medical Imaging ; Science & Technology ; Vascularization</subject><ispartof>Radiology and oncology, 2020-06, Vol.54 (3), p.301-310</ispartof><rights>2020. This work is published under http://creativecommons.org/licenses/by-nc-nd/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Xiaoqing Wang, Mengqiu Cao, Hongjin Chen, Jianwei Ge, Shiteng Suo, Yan Zhou, published by Sciendo 2020 Xiaoqing Wang, Mengqiu Cao, Hongjin Chen, Jianwei Ge, Shiteng Suo, Yan Zhou, published by Sciendo</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>11</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000556444800007</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c514t-63cd8e2ed959aa1f437baa9409bab58081f11e77dec110985bde1fb038b3dcf63</citedby><cites>FETCH-LOGICAL-c514t-63cd8e2ed959aa1f437baa9409bab58081f11e77dec110985bde1fb038b3dcf63</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/PMC7409598/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409598/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,27929,27930,28253,53796,53798,76169,76170</link.rule.ids></links><search><creatorcontrib>Wang, Xiaoqing</creatorcontrib><creatorcontrib>Cao, Mengqiu</creatorcontrib><creatorcontrib>Chen, Hongjin</creatorcontrib><creatorcontrib>Ge, Jianwei</creatorcontrib><creatorcontrib>Suo, Shiteng</creatorcontrib><creatorcontrib>Zhou, Yan</creatorcontrib><title>Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI</title><title>Radiology and oncology</title><addtitle>RADIOL ONCOL</addtitle><description>Background. Effect of isocitrate dehydrogenase 1 (IDH1) mutation in neovascularization might be linked with tissue perfusion in gliomas. At present, the need of injection of contrast agent and the increasing scanning time limit the application of perfusion techniques. We used a simplified intravoxel incoherent motion (IVIM)-derived perfusion fraction (SPF) calculated from diffusion-weighted imaging (DWI) using only three b-values to quantitatively assess IDH1-linked tissue perfusion changes in WHO grade II-III gliomas (LGGs). Additionally, by comparing accuracy with dynamic contrast-enhanced (DCE) and full IVIM MRI, we tried to find the optimal imaging markers to predict IDH1 mutation status.
Patients and methods. Thirty patients were prospectively examined using DCE and multi-b-value DWI. All parameters were compared between the IDH1 mutant and wild-type LGGs using the Mann-Whitney U test, including the DCE MRI-derived K-trans, V-e and V-p, the conventional apparent diffusion coefficient (ADC(0,1000)), IVIM-derived perfusion fraction (f), diffusion coefficient (D) and pseudo-diffusion coefficient (D*), SPF. We evaluated the diagnostic performance by receiver operating characteristic (ROC) analysis.
Results. Significant differences were detected between WHO grade II-III gliomas for all perfusion and diffusion parameters (P < 0.05). When compared to IDH1 mutant LGGs, IDH1 wild-type LGGs exhibited significantly higher perfusion metrics (P < 0.05) and lower diffusion metrics (P < 0.05). Among all parameters, SPF showed a higher diagnostic performance (area under the curve 0.861), with 94.4% sensitivity and 75% specificity.
Conclusions. DWI, DCE and IVIM MRI may noninvasively help discriminate IDHI mutation statuses in LGGs. Specifically, simplified DWI-derived SPF showed a superior diagnostic performance.</description><subject>2016 WHO CNS tumor classification</subject><subject>Contrast agents</subject><subject>Diagnostic systems</subject><subject>Diffusion</subject><subject>Diffusion coefficient</subject><subject>diffusion-weighted MRI</subject><subject>dynamic contrast-enhanced MRI</subject><subject>Glioma</subject><subject>glioma perfusion</subject><subject>idh1 mutation</subject><subject>intravoxel incoherent motion</subject><subject>Life Sciences & Biomedicine</subject><subject>Magnetic resonance imaging</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Mutants</subject><subject>Mutation</subject><subject>Oncology</subject><subject>Parameters</subject><subject>Performance evaluation</subject><subject>Perfusion</subject><subject>Radiology, Nuclear Medicine & Medical Imaging</subject><subject>Science & Technology</subject><subject>Vascularization</subject><issn>1318-2099</issn><issn>1581-3207</issn><issn>1581-3207</issn><issn>0485-893X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNUstu1DAUjRCIlsKWdSQ2SCjFjuOxjRASGh6NVFSJh1hajn2TcZXYU8dp6Y5_4OPY8yU4k1FREQtWuTn3nOPr65NljzE6LivGnwflXVGiEhUIEXYnO8SU44KUiN1NNcE8NYU4yB6M4zlCdFWW_H52QEpKBWbsMPv5yQ7b3rYWTL6F0E6j9S5vg9JxKfyQG9sueHEFttvERLWD6qzrcuvybQCflCraS5h_jF2kvs3rNyc4H6aodkDifj05y7ugDOR1_ev7j7qu8663flDji1z7YauCHRPzysZNbq6dGqxOuItBjbEAt1FOp8OVSwPM4KX_Bn0qtd9AABfzwe9O-vCxfpjda1U_wqP99yj78u7t5_VJcXr2vl6_Pi00xVUsVkQbDiUYQYVSuK0Ia5QSFRKNaihHHLcYA2MGNMZIcNoYwG2DCG-I0e2KHGX14mu8OpfbkBYTrqVXVu4AHzqpQrS6B7mijCNkCJQVrSilasVAaC5Yg3BlUuMoe7V4badmAKNhvmN_y_R2x9mN7PylZGleKngyeLo3CP5igjHKwY4a-l458NMoywrTkjNGqkR98hf13E_BpVUlVikI4VTMrOOFpYMfxwDtzTAYyTl_cs6fnPMn5_wlwbNFcAWNb0dtIb3YjQilBNJVVVVpDwjNbP7_7LVdcrT2k4tJ-nIvVX2EYKAL03Uq_lzj3xPSihCEyW_r7Qfm</recordid><startdate>20200619</startdate><enddate>20200619</enddate><creator>Wang, 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perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI</title><author>Wang, Xiaoqing ; Cao, Mengqiu ; Chen, Hongjin ; Ge, Jianwei ; Suo, Shiteng ; Zhou, Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c514t-63cd8e2ed959aa1f437baa9409bab58081f11e77dec110985bde1fb038b3dcf63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>2016 WHO CNS tumor classification</topic><topic>Contrast agents</topic><topic>Diagnostic systems</topic><topic>Diffusion</topic><topic>Diffusion coefficient</topic><topic>diffusion-weighted MRI</topic><topic>dynamic contrast-enhanced MRI</topic><topic>Glioma</topic><topic>glioma perfusion</topic><topic>idh1 mutation</topic><topic>intravoxel incoherent motion</topic><topic>Life Sciences & Biomedicine</topic><topic>Magnetic resonance imaging</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Mutants</topic><topic>Mutation</topic><topic>Oncology</topic><topic>Parameters</topic><topic>Performance evaluation</topic><topic>Perfusion</topic><topic>Radiology, Nuclear Medicine & Medical Imaging</topic><topic>Science & Technology</topic><topic>Vascularization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xiaoqing</creatorcontrib><creatorcontrib>Cao, Mengqiu</creatorcontrib><creatorcontrib>Chen, Hongjin</creatorcontrib><creatorcontrib>Ge, Jianwei</creatorcontrib><creatorcontrib>Suo, Shiteng</creatorcontrib><creatorcontrib>Zhou, Yan</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>ProQuest Central 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Edition)</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Radiology and oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xiaoqing</au><au>Cao, Mengqiu</au><au>Chen, Hongjin</au><au>Ge, Jianwei</au><au>Suo, Shiteng</au><au>Zhou, Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI</atitle><jtitle>Radiology and oncology</jtitle><stitle>RADIOL ONCOL</stitle><date>2020-06-19</date><risdate>2020</risdate><volume>54</volume><issue>3</issue><spage>301</spage><epage>310</epage><pages>301-310</pages><issn>1318-2099</issn><issn>1581-3207</issn><eissn>1581-3207</eissn><eissn>0485-893X</eissn><abstract>Background. Effect of isocitrate dehydrogenase 1 (IDH1) mutation in neovascularization might be linked with tissue perfusion in gliomas. At present, the need of injection of contrast agent and the increasing scanning time limit the application of perfusion techniques. We used a simplified intravoxel incoherent motion (IVIM)-derived perfusion fraction (SPF) calculated from diffusion-weighted imaging (DWI) using only three b-values to quantitatively assess IDH1-linked tissue perfusion changes in WHO grade II-III gliomas (LGGs). Additionally, by comparing accuracy with dynamic contrast-enhanced (DCE) and full IVIM MRI, we tried to find the optimal imaging markers to predict IDH1 mutation status.
Patients and methods. Thirty patients were prospectively examined using DCE and multi-b-value DWI. All parameters were compared between the IDH1 mutant and wild-type LGGs using the Mann-Whitney U test, including the DCE MRI-derived K-trans, V-e and V-p, the conventional apparent diffusion coefficient (ADC(0,1000)), IVIM-derived perfusion fraction (f), diffusion coefficient (D) and pseudo-diffusion coefficient (D*), SPF. We evaluated the diagnostic performance by receiver operating characteristic (ROC) analysis.
Results. Significant differences were detected between WHO grade II-III gliomas for all perfusion and diffusion parameters (P < 0.05). When compared to IDH1 mutant LGGs, IDH1 wild-type LGGs exhibited significantly higher perfusion metrics (P < 0.05) and lower diffusion metrics (P < 0.05). Among all parameters, SPF showed a higher diagnostic performance (area under the curve 0.861), with 94.4% sensitivity and 75% specificity.
Conclusions. DWI, DCE and IVIM MRI may noninvasively help discriminate IDHI mutation statuses in LGGs. Specifically, simplified DWI-derived SPF showed a superior diagnostic performance.</abstract><cop>BERLIN</cop><pub>Sciendo</pub><pmid>32559177</pmid><doi>10.2478/raon-2020-0037</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 2016 WHO CNS tumor classification Contrast agents Diagnostic systems Diffusion Diffusion coefficient diffusion-weighted MRI dynamic contrast-enhanced MRI Glioma glioma perfusion idh1 mutation intravoxel incoherent motion Life Sciences & Biomedicine Magnetic resonance imaging Mathematical analysis Medical imaging Mutants Mutation Oncology Parameters Performance evaluation Perfusion Radiology, Nuclear Medicine & Medical Imaging Science & Technology Vascularization |
| title | Simplified perfusion fraction from diffusion-weighted imaging in preoperative prediction of IDH1 mutation in WHO grade II–III gliomas: comparison with dynamic contrast-enhanced and intravoxel incoherent motion MRI |
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