Characterization and Classification of Spatial White Matter Tract Alteration Patterns in Glioma Patients Using Magnetic Resonance Tractography: A Systematic Review and Meta-Analysis
Magnetic resonance (MR) tractography can be used to study the spatial relations between gliomas and white matter (WM) tracts. Various spatial patterns of WM tract alterations have been described in the literature. We reviewed classification systems of these patterns, and investigated whether low-gra...
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description | Magnetic resonance (MR) tractography can be used to study the spatial relations between gliomas and white matter (WM) tracts. Various spatial patterns of WM tract alterations have been described in the literature. We reviewed classification systems of these patterns, and investigated whether low-grade gliomas (LGGs) and high-grade gliomas (HGGs) demonstrate distinct spatial WM tract alteration patterns.
We conducted a systematic review and meta-analysis to summarize the evidence regarding MR tractography studies that investigated spatial WM tract alteration patterns in glioma patients.
Eleven studies were included. Overall, four spatial WM tract alteration patterns were reported in the current literature: displacement, infiltration, disruption/destruction and edematous. There was a considerable heterogeneity in the operational definitions of these terms. In a subset of studies, sufficient homogeneity in the classification systems was found to analyze pooled results for the displacement and infiltration patterns. Our meta-analyses suggested that LGGs displaced WM tracts significantly more often than HGGs (
= 259 patients, RR: 1.79, 95% CI [1.14, 2.79], I
= 51%). No significant differences between LGGs and HGGs were found for WM tract infiltration (
= 196 patients, RR: 1.19, 95% CI [0.95, 1.50], I
= 4%).
The low number of included studies and their considerable methodological heterogeneity emphasize the need for a more uniform classification system to study spatial WM tract alteration patterns using MR tractography. This review provides a first step towards such a classification system, by showing that the current literature is inconclusive and that the ability of fractional anisotropy (FA) to define spatial WM tract alteration patterns should be critically evaluated. We found variations in spatial WM tract alteration patterns between LGGs and HGGs, when specifically examining displacement and infiltration in a subset of the included studies. |
doi_str_mv | 10.3390/cancers15143631 |
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We conducted a systematic review and meta-analysis to summarize the evidence regarding MR tractography studies that investigated spatial WM tract alteration patterns in glioma patients.
Eleven studies were included. Overall, four spatial WM tract alteration patterns were reported in the current literature: displacement, infiltration, disruption/destruction and edematous. There was a considerable heterogeneity in the operational definitions of these terms. In a subset of studies, sufficient homogeneity in the classification systems was found to analyze pooled results for the displacement and infiltration patterns. Our meta-analyses suggested that LGGs displaced WM tracts significantly more often than HGGs (
= 259 patients, RR: 1.79, 95% CI [1.14, 2.79], I
= 51%). No significant differences between LGGs and HGGs were found for WM tract infiltration (
= 196 patients, RR: 1.19, 95% CI [0.95, 1.50], I
= 4%).
The low number of included studies and their considerable methodological heterogeneity emphasize the need for a more uniform classification system to study spatial WM tract alteration patterns using MR tractography. This review provides a first step towards such a classification system, by showing that the current literature is inconclusive and that the ability of fractional anisotropy (FA) to define spatial WM tract alteration patterns should be critically evaluated. We found variations in spatial WM tract alteration patterns between LGGs and HGGs, when specifically examining displacement and infiltration in a subset of the included studies.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers15143631</identifier><identifier>PMID: 37509291</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Analysis ; Anisotropy ; Brain cancer ; Brain tumors ; Classification ; Classification systems ; Glioma ; Gliomas ; Medical libraries ; Meta-analysis ; Metastases ; Neuroimaging ; Substantia alba ; Systematic Review ; Tumors</subject><ispartof>Cancers, 2023-07, Vol.15 (14), p.3631</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-7a11c870812c6c9c977bcd69bf8dc3d8c28baa544f04fe46bd23838db2ad105d3</citedby><cites>FETCH-LOGICAL-c489t-7a11c870812c6c9c977bcd69bf8dc3d8c28baa544f04fe46bd23838db2ad105d3</cites><orcidid>0000-0002-3250-8103 ; 0009-0007-9832-3391</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377290/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377290/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37509291$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahmoodi, Arash L</creatorcontrib><creatorcontrib>Landers, Maud J F</creatorcontrib><creatorcontrib>Rutten, Geert-Jan M</creatorcontrib><creatorcontrib>Brouwers, H Bart</creatorcontrib><title>Characterization and Classification of Spatial White Matter Tract Alteration Patterns in Glioma Patients Using Magnetic Resonance Tractography: A Systematic Review and Meta-Analysis</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>Magnetic resonance (MR) tractography can be used to study the spatial relations between gliomas and white matter (WM) tracts. Various spatial patterns of WM tract alterations have been described in the literature. We reviewed classification systems of these patterns, and investigated whether low-grade gliomas (LGGs) and high-grade gliomas (HGGs) demonstrate distinct spatial WM tract alteration patterns.
We conducted a systematic review and meta-analysis to summarize the evidence regarding MR tractography studies that investigated spatial WM tract alteration patterns in glioma patients.
Eleven studies were included. Overall, four spatial WM tract alteration patterns were reported in the current literature: displacement, infiltration, disruption/destruction and edematous. There was a considerable heterogeneity in the operational definitions of these terms. In a subset of studies, sufficient homogeneity in the classification systems was found to analyze pooled results for the displacement and infiltration patterns. Our meta-analyses suggested that LGGs displaced WM tracts significantly more often than HGGs (
= 259 patients, RR: 1.79, 95% CI [1.14, 2.79], I
= 51%). No significant differences between LGGs and HGGs were found for WM tract infiltration (
= 196 patients, RR: 1.19, 95% CI [0.95, 1.50], I
= 4%).
The low number of included studies and their considerable methodological heterogeneity emphasize the need for a more uniform classification system to study spatial WM tract alteration patterns using MR tractography. This review provides a first step towards such a classification system, by showing that the current literature is inconclusive and that the ability of fractional anisotropy (FA) to define spatial WM tract alteration patterns should be critically evaluated. We found variations in spatial WM tract alteration patterns between LGGs and HGGs, when specifically examining displacement and infiltration in a subset of the included studies.</description><subject>Analysis</subject><subject>Anisotropy</subject><subject>Brain cancer</subject><subject>Brain tumors</subject><subject>Classification</subject><subject>Classification systems</subject><subject>Glioma</subject><subject>Gliomas</subject><subject>Medical libraries</subject><subject>Meta-analysis</subject><subject>Metastases</subject><subject>Neuroimaging</subject><subject>Substantia alba</subject><subject>Systematic Review</subject><subject>Tumors</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptks1u1DAUhSMEolXpmh2yxIZNWv8ksc0GRaNSkFqBaCuW1o3jzLhK7MHOFE3fq--HMymlrYgXubr-zrGPdbPsLcFHjEl8rMFpEyIpScEqRl5k-xRzmleVLF4-qveywxivcfoYI7zir7M9xkssqST72d1iBQH0aIK9hdF6h8C1aNFDjLazem75Dl2sUwk9-rmyo0HnMCYFupyUqO5TPYPfd30XkXXotLd-gKlljRsjuorWLZNy6cxoNfphondTgNnFLwOsV9uPqEYX2ziaAWboxprfuyudmxHy2kG_jTa-yV510EdzeP8_yK4-n1wuvuRn306_LuqzXBdCjjkHQrTgWBCqKy215LzRbSWbTrSatUJT0QCURdHhojNF1bSUCSbahkJLcNmyg-zT7LveNINpdQoSoFfrYAcIW-XBqqc7zq7U0t8oghnnVOLk8OHeIfhfGxNHNdioTd-DM34TFRVFgQUVokro-2fotd-ElHhHMVwQWeF_1BJ6o6zrfDpYT6aq5qWQlFeEJuroP1RarRms9s50NvWfCI5ngQ4-xmC6h5AEq2na1LNpS4p3j9_mgf87W-wP9eHUiQ</recordid><startdate>20230715</startdate><enddate>20230715</enddate><creator>Mahmoodi, Arash L</creator><creator>Landers, Maud J F</creator><creator>Rutten, Geert-Jan M</creator><creator>Brouwers, H Bart</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3250-8103</orcidid><orcidid>https://orcid.org/0009-0007-9832-3391</orcidid></search><sort><creationdate>20230715</creationdate><title>Characterization and Classification of Spatial White Matter Tract Alteration Patterns in Glioma Patients Using Magnetic Resonance Tractography: A Systematic Review and Meta-Analysis</title><author>Mahmoodi, Arash L ; Landers, Maud J F ; Rutten, Geert-Jan M ; Brouwers, H Bart</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-7a11c870812c6c9c977bcd69bf8dc3d8c28baa544f04fe46bd23838db2ad105d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Anisotropy</topic><topic>Brain cancer</topic><topic>Brain tumors</topic><topic>Classification</topic><topic>Classification systems</topic><topic>Glioma</topic><topic>Gliomas</topic><topic>Medical libraries</topic><topic>Meta-analysis</topic><topic>Metastases</topic><topic>Neuroimaging</topic><topic>Substantia alba</topic><topic>Systematic Review</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahmoodi, Arash L</creatorcontrib><creatorcontrib>Landers, Maud J F</creatorcontrib><creatorcontrib>Rutten, Geert-Jan M</creatorcontrib><creatorcontrib>Brouwers, H Bart</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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 China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahmoodi, Arash L</au><au>Landers, Maud J F</au><au>Rutten, Geert-Jan M</au><au>Brouwers, H Bart</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization and Classification of Spatial White Matter Tract Alteration Patterns in Glioma Patients Using Magnetic Resonance Tractography: A Systematic Review and Meta-Analysis</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2023-07-15</date><risdate>2023</risdate><volume>15</volume><issue>14</issue><spage>3631</spage><pages>3631-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>Magnetic resonance (MR) tractography can be used to study the spatial relations between gliomas and white matter (WM) tracts. Various spatial patterns of WM tract alterations have been described in the literature. We reviewed classification systems of these patterns, and investigated whether low-grade gliomas (LGGs) and high-grade gliomas (HGGs) demonstrate distinct spatial WM tract alteration patterns.
We conducted a systematic review and meta-analysis to summarize the evidence regarding MR tractography studies that investigated spatial WM tract alteration patterns in glioma patients.
Eleven studies were included. Overall, four spatial WM tract alteration patterns were reported in the current literature: displacement, infiltration, disruption/destruction and edematous. There was a considerable heterogeneity in the operational definitions of these terms. In a subset of studies, sufficient homogeneity in the classification systems was found to analyze pooled results for the displacement and infiltration patterns. Our meta-analyses suggested that LGGs displaced WM tracts significantly more often than HGGs (
= 259 patients, RR: 1.79, 95% CI [1.14, 2.79], I
= 51%). No significant differences between LGGs and HGGs were found for WM tract infiltration (
= 196 patients, RR: 1.19, 95% CI [0.95, 1.50], I
= 4%).
The low number of included studies and their considerable methodological heterogeneity emphasize the need for a more uniform classification system to study spatial WM tract alteration patterns using MR tractography. This review provides a first step towards such a classification system, by showing that the current literature is inconclusive and that the ability of fractional anisotropy (FA) to define spatial WM tract alteration patterns should be critically evaluated. We found variations in spatial WM tract alteration patterns between LGGs and HGGs, when specifically examining displacement and infiltration in a subset of the included studies.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37509291</pmid><doi>10.3390/cancers15143631</doi><orcidid>https://orcid.org/0000-0002-3250-8103</orcidid><orcidid>https://orcid.org/0009-0007-9832-3391</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Anisotropy Brain cancer Brain tumors Classification Classification systems Glioma Gliomas Medical libraries Meta-analysis Metastases Neuroimaging Substantia alba Systematic Review Tumors |
title | Characterization and Classification of Spatial White Matter Tract Alteration Patterns in Glioma Patients Using Magnetic Resonance Tractography: A Systematic Review and Meta-Analysis |
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