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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European radiology 2019-02, Vol.29 (2), p.745-758
Hauptverfasser: Suh, Chong Hyun, Kim, Ho Sung, Jung, Seung Chai, Choi, Choong Gon, Kim, Sang Joon
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 758
container_issue 2
container_start_page 745
container_title European radiology
container_volume 29
creator Suh, Chong Hyun
Kim, Ho Sung
Jung, Seung Chai
Choi, Choong Gon
Kim, Sang Joon
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 &amp; 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 &amp; 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 &amp; 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 &amp; Allied Health Database</collection><collection>Health &amp; 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 &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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 China</collection><collection>MEDLINE - 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>
fulltext fulltext
identifier ISSN: 0938-7994
ispartof European radiology, 2019-02, Vol.29 (2), p.745-758
issn 0938-7994
1432-1084
language eng
recordid cdi_proquest_miscellaneous_2070242892
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T18%3A53%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Imaging%20prediction%20of%20isocitrate%20dehydrogenase%20(IDH)%20mutation%20in%20patients%20with%20glioma:%20a%20systemic%20review%20and%20meta-analysis&rft.jtitle=European%20radiology&rft.au=Suh,%20Chong%20Hyun&rft.date=2019-02-01&rft.volume=29&rft.issue=2&rft.spage=745&rft.epage=758&rft.pages=745-758&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-018-5608-7&rft_dat=%3Cproquest_cross%3E2068653312%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2068653312&rft_id=info:pmid/30003316&rfr_iscdi=true