Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis
Objectives To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for prediction of IDH mutation in patients with glioma. Methods A systematic search of Ovid-MEDLINE and EMBASE up to 10 October 201...
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Veröffentlicht in: | European radiology 2019-02, Vol.29 (2), p.745-758 |
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description | Objectives
To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for prediction of IDH mutation in patients with glioma.
Methods
A systematic search of Ovid-MEDLINE and EMBASE up to 10 October 2017 was conducted to find relevant studies. The search terms combined synonyms for ‘glioma’, ‘IDH mutation’ and ‘MRI’. Studies evaluating the imaging features of IDH mutant glioma and the diagnostic performance of MRI for prediction of IDH mutation in patients with glioma were selected. The pooled summary estimates of sensitivity and specificity and their 95% confidence intervals (CIs) were calculated using a bivariate random-effects model. The results of multiple subgroup analyses are reported.
Results
Twenty-eight original articles in a total of 2,146 patients with glioma were included. IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high apparent diffusion coefficient (ADC) value and low relative cerebral blood volume (rCBV) value. For the meta-analysis that included 18 original articles, the summary sensitivity was 86% (95% CI, 79%–91%) and the summary specificity was 87% (95% CI, 78–92%). In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate magnetic resonance spectroscopy (MRS) [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.
Conclusions
IDH mutant glioma consistently demonstrated less aggressive imaging features than IDH wild-type glioma. Despite the variety of different MRI techniques used, MRI showed the potential to non-invasively predict IDH mutation in patients with glioma. 2-Hydroxyglutarate MRS shows higher pooled sensitivity than other imaging modalities.
Key Points
• IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high ADC value, and low rCBV value.
• The diagnostic performance of MRI for prediction of IDH mutation in patients with glioma is within a clinically acceptable range, the summary sensitivity was 86% (95% CI, 79–91%) and the summary specificity was 87% (95% CI, 78–92%).
• In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate MRS [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities. |
doi_str_mv | 10.1007/s00330-018-5608-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2070242892</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2068653312</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-439e9f33baec8a5be224a00e997deac623f187e82126f4847fb065ad1c2f9e373</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi0EokvhB3BBlriUQ2D8sbHNDZWPrlSJC5wtrzNJXSX2YjtUy68nYQtISJw8sp95PZqHkOcMXjMA9aYACAENMN1sW9CNekA2TAreMNDyIdmAEculMfKMPCnlFgAMk-oxOROwdrJ2Q37sJjeEONBDxi74GlKkqaehJB9qdhVphzfHLqcBoytIL3bvr17Raa7uFxoiPSwVxlroXag3dBhDmtxb6mg5lopT8DTj94B31MWOTlhd46IbjyWUp-RR78aCz-7Pc_L144cvl1fN9edPu8t3140XitdGCoOmF2Lv0Gu33SPn0gGgMapD51sueqYVas5420stVb-Hdus65nlvUChxTi5OuYecvs1Yqp1C8TiOLmKai-WggEuuDV_Ql_-gt2nOy7wr1ep2uyxtpdiJ8jmVkrG3hxwml4-WgV3F2JMYu4ixqxi7DvHiPnneT9j96fhtYgH4CSjLUxww__36_6k_Ab_omR8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2068653312</pqid></control><display><type>article</type><title>Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Suh, Chong Hyun ; Kim, Ho Sung ; Jung, Seung Chai ; Choi, Choong Gon ; Kim, Sang Joon</creator><creatorcontrib>Suh, Chong Hyun ; Kim, Ho Sung ; Jung, Seung Chai ; Choi, Choong Gon ; Kim, Sang Joon</creatorcontrib><description>Objectives
To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for prediction of IDH mutation in patients with glioma.
Methods
A systematic search of Ovid-MEDLINE and EMBASE up to 10 October 2017 was conducted to find relevant studies. The search terms combined synonyms for ‘glioma’, ‘IDH mutation’ and ‘MRI’. Studies evaluating the imaging features of IDH mutant glioma and the diagnostic performance of MRI for prediction of IDH mutation in patients with glioma were selected. The pooled summary estimates of sensitivity and specificity and their 95% confidence intervals (CIs) were calculated using a bivariate random-effects model. The results of multiple subgroup analyses are reported.
Results
Twenty-eight original articles in a total of 2,146 patients with glioma were included. IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high apparent diffusion coefficient (ADC) value and low relative cerebral blood volume (rCBV) value. For the meta-analysis that included 18 original articles, the summary sensitivity was 86% (95% CI, 79%–91%) and the summary specificity was 87% (95% CI, 78–92%). In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate magnetic resonance spectroscopy (MRS) [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.
Conclusions
IDH mutant glioma consistently demonstrated less aggressive imaging features than IDH wild-type glioma. Despite the variety of different MRI techniques used, MRI showed the potential to non-invasively predict IDH mutation in patients with glioma. 2-Hydroxyglutarate MRS shows higher pooled sensitivity than other imaging modalities.
Key Points
• IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high ADC value, and low rCBV value.
• The diagnostic performance of MRI for prediction of IDH mutation in patients with glioma is within a clinically acceptable range, the summary sensitivity was 86% (95% CI, 79–91%) and the summary specificity was 87% (95% CI, 78–92%).
• In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate MRS [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-018-5608-7</identifier><identifier>PMID: 30003316</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Bivariate analysis ; Blood volume ; Brain Neoplasms - diagnosis ; Brain Neoplasms - genetics ; Brain Neoplasms - metabolism ; Cerebral blood flow ; Cerebral Blood Volume ; Confidence intervals ; Dehydrogenase ; Dehydrogenases ; Diagnostic Radiology ; Diagnostic systems ; Diffusion coefficient ; DNA - genetics ; DNA Mutational Analysis ; Frontal lobe ; Glioma ; Glioma - diagnosis ; Glioma - genetics ; Glioma - metabolism ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Isocitrate dehydrogenase ; Isocitrate Dehydrogenase - genetics ; Isocitrate Dehydrogenase - metabolism ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Magnetic resonance spectroscopy ; Medical imaging ; Medicine ; Medicine & Public Health ; Meta-analysis ; Mutation ; Neuro ; Neuroradiology ; NMR ; Nuclear magnetic resonance ; Patients ; Predictive Value of Tests ; Radiology ; Resonance ; Sensitivity ; Sensitivity analysis ; Subgroups ; Ultrasound</subject><ispartof>European radiology, 2019-02, Vol.29 (2), p.745-758</ispartof><rights>European Society of Radiology 2018</rights><rights>European Radiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-439e9f33baec8a5be224a00e997deac623f187e82126f4847fb065ad1c2f9e373</citedby><cites>FETCH-LOGICAL-c372t-439e9f33baec8a5be224a00e997deac623f187e82126f4847fb065ad1c2f9e373</cites><orcidid>0000-0002-9477-7421</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-018-5608-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-018-5608-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30003316$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Suh, Chong Hyun</creatorcontrib><creatorcontrib>Kim, Ho Sung</creatorcontrib><creatorcontrib>Jung, Seung Chai</creatorcontrib><creatorcontrib>Choi, Choong Gon</creatorcontrib><creatorcontrib>Kim, Sang Joon</creatorcontrib><title>Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for prediction of IDH mutation in patients with glioma.
Methods
A systematic search of Ovid-MEDLINE and EMBASE up to 10 October 2017 was conducted to find relevant studies. The search terms combined synonyms for ‘glioma’, ‘IDH mutation’ and ‘MRI’. Studies evaluating the imaging features of IDH mutant glioma and the diagnostic performance of MRI for prediction of IDH mutation in patients with glioma were selected. The pooled summary estimates of sensitivity and specificity and their 95% confidence intervals (CIs) were calculated using a bivariate random-effects model. The results of multiple subgroup analyses are reported.
Results
Twenty-eight original articles in a total of 2,146 patients with glioma were included. IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high apparent diffusion coefficient (ADC) value and low relative cerebral blood volume (rCBV) value. For the meta-analysis that included 18 original articles, the summary sensitivity was 86% (95% CI, 79%–91%) and the summary specificity was 87% (95% CI, 78–92%). In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate magnetic resonance spectroscopy (MRS) [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.
Conclusions
IDH mutant glioma consistently demonstrated less aggressive imaging features than IDH wild-type glioma. Despite the variety of different MRI techniques used, MRI showed the potential to non-invasively predict IDH mutation in patients with glioma. 2-Hydroxyglutarate MRS shows higher pooled sensitivity than other imaging modalities.
Key Points
• IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high ADC value, and low rCBV value.
• The diagnostic performance of MRI for prediction of IDH mutation in patients with glioma is within a clinically acceptable range, the summary sensitivity was 86% (95% CI, 79–91%) and the summary specificity was 87% (95% CI, 78–92%).
• In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate MRS [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.</description><subject>Bivariate analysis</subject><subject>Blood volume</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - genetics</subject><subject>Brain Neoplasms - metabolism</subject><subject>Cerebral blood flow</subject><subject>Cerebral Blood Volume</subject><subject>Confidence intervals</subject><subject>Dehydrogenase</subject><subject>Dehydrogenases</subject><subject>Diagnostic Radiology</subject><subject>Diagnostic systems</subject><subject>Diffusion coefficient</subject><subject>DNA - genetics</subject><subject>DNA Mutational Analysis</subject><subject>Frontal lobe</subject><subject>Glioma</subject><subject>Glioma - diagnosis</subject><subject>Glioma - genetics</subject><subject>Glioma - metabolism</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Isocitrate dehydrogenase</subject><subject>Isocitrate Dehydrogenase - genetics</subject><subject>Isocitrate Dehydrogenase - metabolism</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic resonance spectroscopy</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-analysis</subject><subject>Mutation</subject><subject>Neuro</subject><subject>Neuroradiology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Patients</subject><subject>Predictive Value of Tests</subject><subject>Radiology</subject><subject>Resonance</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Subgroups</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kU1v1DAQhi0EokvhB3BBlriUQ2D8sbHNDZWPrlSJC5wtrzNJXSX2YjtUy68nYQtISJw8sp95PZqHkOcMXjMA9aYACAENMN1sW9CNekA2TAreMNDyIdmAEculMfKMPCnlFgAMk-oxOROwdrJ2Q37sJjeEONBDxi74GlKkqaehJB9qdhVphzfHLqcBoytIL3bvr17Raa7uFxoiPSwVxlroXag3dBhDmtxb6mg5lopT8DTj94B31MWOTlhd46IbjyWUp-RR78aCz-7Pc_L144cvl1fN9edPu8t3140XitdGCoOmF2Lv0Gu33SPn0gGgMapD51sueqYVas5420stVb-Hdus65nlvUChxTi5OuYecvs1Yqp1C8TiOLmKai-WggEuuDV_Ql_-gt2nOy7wr1ep2uyxtpdiJ8jmVkrG3hxwml4-WgV3F2JMYu4ixqxi7DvHiPnneT9j96fhtYgH4CSjLUxww__36_6k_Ab_omR8</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Suh, Chong Hyun</creator><creator>Kim, Ho Sung</creator><creator>Jung, Seung Chai</creator><creator>Choi, Choong Gon</creator><creator>Kim, Sang Joon</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9477-7421</orcidid></search><sort><creationdate>20190201</creationdate><title>Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis</title><author>Suh, Chong Hyun ; Kim, Ho Sung ; Jung, Seung Chai ; Choi, Choong Gon ; Kim, Sang Joon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-439e9f33baec8a5be224a00e997deac623f187e82126f4847fb065ad1c2f9e373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Bivariate analysis</topic><topic>Blood volume</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - genetics</topic><topic>Brain Neoplasms - metabolism</topic><topic>Cerebral blood flow</topic><topic>Cerebral Blood Volume</topic><topic>Confidence intervals</topic><topic>Dehydrogenase</topic><topic>Dehydrogenases</topic><topic>Diagnostic Radiology</topic><topic>Diagnostic systems</topic><topic>Diffusion coefficient</topic><topic>DNA - genetics</topic><topic>DNA Mutational Analysis</topic><topic>Frontal lobe</topic><topic>Glioma</topic><topic>Glioma - diagnosis</topic><topic>Glioma - genetics</topic><topic>Glioma - metabolism</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Isocitrate dehydrogenase</topic><topic>Isocitrate Dehydrogenase - genetics</topic><topic>Isocitrate Dehydrogenase - metabolism</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic resonance spectroscopy</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-analysis</topic><topic>Mutation</topic><topic>Neuro</topic><topic>Neuroradiology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Patients</topic><topic>Predictive Value of Tests</topic><topic>Radiology</topic><topic>Resonance</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Subgroups</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suh, Chong Hyun</creatorcontrib><creatorcontrib>Kim, Ho Sung</creatorcontrib><creatorcontrib>Jung, Seung Chai</creatorcontrib><creatorcontrib>Choi, Choong Gon</creatorcontrib><creatorcontrib>Kim, Sang Joon</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Suh, Chong Hyun</au><au>Kim, Ho Sung</au><au>Jung, Seung Chai</au><au>Choi, Choong Gon</au><au>Kim, Sang Joon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>29</volume><issue>2</issue><spage>745</spage><epage>758</epage><pages>745-758</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for prediction of IDH mutation in patients with glioma.
Methods
A systematic search of Ovid-MEDLINE and EMBASE up to 10 October 2017 was conducted to find relevant studies. The search terms combined synonyms for ‘glioma’, ‘IDH mutation’ and ‘MRI’. Studies evaluating the imaging features of IDH mutant glioma and the diagnostic performance of MRI for prediction of IDH mutation in patients with glioma were selected. The pooled summary estimates of sensitivity and specificity and their 95% confidence intervals (CIs) were calculated using a bivariate random-effects model. The results of multiple subgroup analyses are reported.
Results
Twenty-eight original articles in a total of 2,146 patients with glioma were included. IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high apparent diffusion coefficient (ADC) value and low relative cerebral blood volume (rCBV) value. For the meta-analysis that included 18 original articles, the summary sensitivity was 86% (95% CI, 79%–91%) and the summary specificity was 87% (95% CI, 78–92%). In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate magnetic resonance spectroscopy (MRS) [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.
Conclusions
IDH mutant glioma consistently demonstrated less aggressive imaging features than IDH wild-type glioma. Despite the variety of different MRI techniques used, MRI showed the potential to non-invasively predict IDH mutation in patients with glioma. 2-Hydroxyglutarate MRS shows higher pooled sensitivity than other imaging modalities.
Key Points
• IDH mutant glioma showed frontal lobe predominance, less contrast enhancement, well-defined border, high ADC value, and low rCBV value.
• The diagnostic performance of MRI for prediction of IDH mutation in patients with glioma is within a clinically acceptable range, the summary sensitivity was 86% (95% CI, 79–91%) and the summary specificity was 87% (95% CI, 78–92%).
• In a subgroup analysis, the summary sensitivity of 2-hydroxyglutarate MRS [96% (95% CI, 91–100%)] was higher than the summary sensitivities of other imaging modalities.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30003316</pmid><doi>10.1007/s00330-018-5608-7</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-9477-7421</orcidid></addata></record> |
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source | MEDLINE; SpringerNature Journals |
subjects | Bivariate analysis Blood volume Brain Neoplasms - diagnosis Brain Neoplasms - genetics Brain Neoplasms - metabolism Cerebral blood flow Cerebral Blood Volume Confidence intervals Dehydrogenase Dehydrogenases Diagnostic Radiology Diagnostic systems Diffusion coefficient DNA - genetics DNA Mutational Analysis Frontal lobe Glioma Glioma - diagnosis Glioma - genetics Glioma - metabolism Humans Imaging Internal Medicine Interventional Radiology Isocitrate dehydrogenase Isocitrate Dehydrogenase - genetics Isocitrate Dehydrogenase - metabolism Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic resonance spectroscopy Medical imaging Medicine Medicine & Public Health Meta-analysis Mutation Neuro Neuroradiology NMR Nuclear magnetic resonance Patients Predictive Value of Tests Radiology Resonance Sensitivity Sensitivity analysis Subgroups Ultrasound |
title | Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis |
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