Advanced MR Techniques for Preoperative Glioma Characterization: Part 2
Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants t...
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Veröffentlicht in: | Journal of magnetic resonance imaging 2023-06, Vol.57 (6), p.1676-1695 |
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creator | Hangel, Gilbert Schmitz‐Abecassis, Bárbara Sollmann, Nico Pinto, Joana Arzanforoosh, Fatemehsadat Barkhof, Frederik Booth, Thomas Calvo‐Imirizaldu, Marta Cassia, Guilherme Chmelik, Marek Clement, Patricia Ercan, Ece Fernández‐Seara, Maria A. Furtner, Julia Fuster‐Garcia, Elies Grech‐Sollars, Matthew Guven, N. Tugay Hatay, Gokce Hale Karami, Golestan Keil, Vera C. Kim, Mina Koekkoek, Johan A. F. Kukran, Simran Mancini, Laura Nechifor, Ruben Emanuel Özcan, Alpay Ozturk‐Isik, Esin Piskin, Senol Schmainda, Kathleen M. Svensson, Siri F. Tseng, Chih‐Hsien Unnikrishnan, Saritha Vos, Frans Warnert, Esther Zhao, Moss Y. Jancalek, Radim Nunes, Teresa Hirschler, Lydiane Smits, Marion Petr, Jan Emblem, Kyrre E. |
description | Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants to raise awareness about the state of the art of advanced MRI techniques in gliomas and their possible clinical translation. This review describes current methods, limits, and applications of advanced MRI for the preoperative assessment of glioma, summarizing the level of clinical validation of different techniques. In this second part, we review magnetic resonance spectroscopy (MRS), chemical exchange saturation transfer (CEST), susceptibility‐weighted imaging (SWI), MRI‐PET, MR elastography (MRE), and MR‐based radiomics applications. The first part of this review addresses dynamic susceptibility contrast (DSC) and dynamic contrast‐enhanced (DCE) MRI, arterial spin labeling (ASL), diffusion‐weighted MRI, vessel imaging, and magnetic resonance fingerprinting (MRF).
Evidence Level
3.
Technical Efficacy
Stage 2. |
doi_str_mv | 10.1002/jmri.28663 |
format | Article |
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Evidence Level
3.
Technical Efficacy
Stage 2.</description><identifier>ISSN: 1053-1807</identifier><identifier>ISSN: 1522-2586</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.28663</identifier><identifier>PMID: 36912262</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>brain ; Brain cancer ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - pathology ; Brain Neoplasms - surgery ; Brain tumors ; Contrast Media ; contrasts ; Fingerprinting ; Genotypes ; GliMR 2.0 ; Glioma ; Glioma - diagnostic imaging ; Glioma - pathology ; Glioma - surgery ; Humans ; level of clinical validation ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Magnetic resonance spectroscopy ; Magnetic Resonance Spectroscopy - methods ; Medical imaging ; Neuroimaging ; Positron emission ; Positron emission tomography ; preoperative ; Preoperative Period ; Radiomics ; Review ; Reviews ; Spin dynamics ; Spin labeling ; Tumors</subject><ispartof>Journal of magnetic resonance imaging, 2023-06, Vol.57 (6), p.1676-1695</ispartof><rights>2023 The Authors. published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4383-98f03138349b6d5d6e32c2aeffd6a9d7ca4d7d6d5875468e0004296e3941f3cc3</citedby><cites>FETCH-LOGICAL-c4383-98f03138349b6d5d6e32c2aeffd6a9d7ca4d7d6d5875468e0004296e3941f3cc3</cites><orcidid>0000-0002-8120-2223 ; 0000-0002-6282-0341 ; 0000-0002-3037-2812 ; 0000-0002-8997-878X ; 0000-0001-5563-2871 ; 0000-0002-9063-401X ; 0000-0003-3881-4870 ; 0000-0002-3196-1416 ; 0000-0002-3986-3159 ; 0000-0002-3201-6002 ; 0000-0001-8536-6295 ; 0000-0002-0716-8960 ; 0000-0002-0681-9522 ; 0000-0001-6834-6567 ; 0000-0002-0210-7739 ; 0000-0002-4596-3551</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.28663$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.28663$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,26544,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36912262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hangel, Gilbert</creatorcontrib><creatorcontrib>Schmitz‐Abecassis, Bárbara</creatorcontrib><creatorcontrib>Sollmann, Nico</creatorcontrib><creatorcontrib>Pinto, Joana</creatorcontrib><creatorcontrib>Arzanforoosh, Fatemehsadat</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Booth, Thomas</creatorcontrib><creatorcontrib>Calvo‐Imirizaldu, Marta</creatorcontrib><creatorcontrib>Cassia, Guilherme</creatorcontrib><creatorcontrib>Chmelik, Marek</creatorcontrib><creatorcontrib>Clement, Patricia</creatorcontrib><creatorcontrib>Ercan, Ece</creatorcontrib><creatorcontrib>Fernández‐Seara, Maria A.</creatorcontrib><creatorcontrib>Furtner, Julia</creatorcontrib><creatorcontrib>Fuster‐Garcia, Elies</creatorcontrib><creatorcontrib>Grech‐Sollars, Matthew</creatorcontrib><creatorcontrib>Guven, N. Tugay</creatorcontrib><creatorcontrib>Hatay, Gokce Hale</creatorcontrib><creatorcontrib>Karami, Golestan</creatorcontrib><creatorcontrib>Keil, Vera C.</creatorcontrib><creatorcontrib>Kim, Mina</creatorcontrib><creatorcontrib>Koekkoek, Johan A. F.</creatorcontrib><creatorcontrib>Kukran, Simran</creatorcontrib><creatorcontrib>Mancini, Laura</creatorcontrib><creatorcontrib>Nechifor, Ruben Emanuel</creatorcontrib><creatorcontrib>Özcan, Alpay</creatorcontrib><creatorcontrib>Ozturk‐Isik, Esin</creatorcontrib><creatorcontrib>Piskin, Senol</creatorcontrib><creatorcontrib>Schmainda, Kathleen M.</creatorcontrib><creatorcontrib>Svensson, Siri F.</creatorcontrib><creatorcontrib>Tseng, Chih‐Hsien</creatorcontrib><creatorcontrib>Unnikrishnan, Saritha</creatorcontrib><creatorcontrib>Vos, Frans</creatorcontrib><creatorcontrib>Warnert, Esther</creatorcontrib><creatorcontrib>Zhao, Moss Y.</creatorcontrib><creatorcontrib>Jancalek, Radim</creatorcontrib><creatorcontrib>Nunes, Teresa</creatorcontrib><creatorcontrib>Hirschler, Lydiane</creatorcontrib><creatorcontrib>Smits, Marion</creatorcontrib><creatorcontrib>Petr, Jan</creatorcontrib><creatorcontrib>Emblem, Kyrre E.</creatorcontrib><title>Advanced MR Techniques for Preoperative Glioma Characterization: Part 2</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants to raise awareness about the state of the art of advanced MRI techniques in gliomas and their possible clinical translation. This review describes current methods, limits, and applications of advanced MRI for the preoperative assessment of glioma, summarizing the level of clinical validation of different techniques. In this second part, we review magnetic resonance spectroscopy (MRS), chemical exchange saturation transfer (CEST), susceptibility‐weighted imaging (SWI), MRI‐PET, MR elastography (MRE), and MR‐based radiomics applications. The first part of this review addresses dynamic susceptibility contrast (DSC) and dynamic contrast‐enhanced (DCE) MRI, arterial spin labeling (ASL), diffusion‐weighted MRI, vessel imaging, and magnetic resonance fingerprinting (MRF).
Evidence Level
3.
Technical Efficacy
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Tugay ; Hatay, Gokce Hale ; Karami, Golestan ; Keil, Vera C. ; Kim, Mina ; Koekkoek, Johan A. 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F.</creatorcontrib><creatorcontrib>Kukran, Simran</creatorcontrib><creatorcontrib>Mancini, Laura</creatorcontrib><creatorcontrib>Nechifor, Ruben Emanuel</creatorcontrib><creatorcontrib>Özcan, Alpay</creatorcontrib><creatorcontrib>Ozturk‐Isik, Esin</creatorcontrib><creatorcontrib>Piskin, Senol</creatorcontrib><creatorcontrib>Schmainda, Kathleen M.</creatorcontrib><creatorcontrib>Svensson, Siri F.</creatorcontrib><creatorcontrib>Tseng, Chih‐Hsien</creatorcontrib><creatorcontrib>Unnikrishnan, Saritha</creatorcontrib><creatorcontrib>Vos, Frans</creatorcontrib><creatorcontrib>Warnert, Esther</creatorcontrib><creatorcontrib>Zhao, Moss Y.</creatorcontrib><creatorcontrib>Jancalek, Radim</creatorcontrib><creatorcontrib>Nunes, Teresa</creatorcontrib><creatorcontrib>Hirschler, Lydiane</creatorcontrib><creatorcontrib>Smits, Marion</creatorcontrib><creatorcontrib>Petr, Jan</creatorcontrib><creatorcontrib>Emblem, Kyrre E.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hangel, Gilbert</au><au>Schmitz‐Abecassis, Bárbara</au><au>Sollmann, Nico</au><au>Pinto, Joana</au><au>Arzanforoosh, Fatemehsadat</au><au>Barkhof, Frederik</au><au>Booth, Thomas</au><au>Calvo‐Imirizaldu, Marta</au><au>Cassia, Guilherme</au><au>Chmelik, Marek</au><au>Clement, Patricia</au><au>Ercan, Ece</au><au>Fernández‐Seara, Maria A.</au><au>Furtner, Julia</au><au>Fuster‐Garcia, Elies</au><au>Grech‐Sollars, Matthew</au><au>Guven, N. 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F.</au><au>Kukran, Simran</au><au>Mancini, Laura</au><au>Nechifor, Ruben Emanuel</au><au>Özcan, Alpay</au><au>Ozturk‐Isik, Esin</au><au>Piskin, Senol</au><au>Schmainda, Kathleen M.</au><au>Svensson, Siri F.</au><au>Tseng, Chih‐Hsien</au><au>Unnikrishnan, Saritha</au><au>Vos, Frans</au><au>Warnert, Esther</au><au>Zhao, Moss Y.</au><au>Jancalek, Radim</au><au>Nunes, Teresa</au><au>Hirschler, Lydiane</au><au>Smits, Marion</au><au>Petr, Jan</au><au>Emblem, Kyrre E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advanced MR Techniques for Preoperative Glioma Characterization: Part 2</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2023-06</date><risdate>2023</risdate><volume>57</volume><issue>6</issue><spage>1676</spage><epage>1695</epage><pages>1676-1695</pages><issn>1053-1807</issn><issn>1522-2586</issn><eissn>1522-2586</eissn><abstract>Preoperative clinical MRI protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants to raise awareness about the state of the art of advanced MRI techniques in gliomas and their possible clinical translation. This review describes current methods, limits, and applications of advanced MRI for the preoperative assessment of glioma, summarizing the level of clinical validation of different techniques. In this second part, we review magnetic resonance spectroscopy (MRS), chemical exchange saturation transfer (CEST), susceptibility‐weighted imaging (SWI), MRI‐PET, MR elastography (MRE), and MR‐based radiomics applications. The first part of this review addresses dynamic susceptibility contrast (DSC) and dynamic contrast‐enhanced (DCE) MRI, arterial spin labeling (ASL), diffusion‐weighted MRI, vessel imaging, and magnetic resonance fingerprinting (MRF).
Evidence Level
3.
Technical Efficacy
Stage 2.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>36912262</pmid><doi>10.1002/jmri.28663</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-8120-2223</orcidid><orcidid>https://orcid.org/0000-0002-6282-0341</orcidid><orcidid>https://orcid.org/0000-0002-3037-2812</orcidid><orcidid>https://orcid.org/0000-0002-8997-878X</orcidid><orcidid>https://orcid.org/0000-0001-5563-2871</orcidid><orcidid>https://orcid.org/0000-0002-9063-401X</orcidid><orcidid>https://orcid.org/0000-0003-3881-4870</orcidid><orcidid>https://orcid.org/0000-0002-3196-1416</orcidid><orcidid>https://orcid.org/0000-0002-3986-3159</orcidid><orcidid>https://orcid.org/0000-0002-3201-6002</orcidid><orcidid>https://orcid.org/0000-0001-8536-6295</orcidid><orcidid>https://orcid.org/0000-0002-0716-8960</orcidid><orcidid>https://orcid.org/0000-0002-0681-9522</orcidid><orcidid>https://orcid.org/0000-0001-6834-6567</orcidid><orcidid>https://orcid.org/0000-0002-0210-7739</orcidid><orcidid>https://orcid.org/0000-0002-4596-3551</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1053-1807 |
ispartof | Journal of magnetic resonance imaging, 2023-06, Vol.57 (6), p.1676-1695 |
issn | 1053-1807 1522-2586 1522-2586 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10947037 |
source | MEDLINE; NORA - Norwegian Open Research Archives; Wiley Online Library Journals Frontfile Complete |
subjects | brain Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - pathology Brain Neoplasms - surgery Brain tumors Contrast Media contrasts Fingerprinting Genotypes GliMR 2.0 Glioma Glioma - diagnostic imaging Glioma - pathology Glioma - surgery Humans level of clinical validation Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic resonance spectroscopy Magnetic Resonance Spectroscopy - methods Medical imaging Neuroimaging Positron emission Positron emission tomography preoperative Preoperative Period Radiomics Review Reviews Spin dynamics Spin labeling Tumors |
title | Advanced MR Techniques for Preoperative Glioma Characterization: Part 2 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T11%3A57%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Advanced%20MR%20Techniques%20for%20Preoperative%20Glioma%20Characterization:%20Part%202&rft.jtitle=Journal%20of%20magnetic%20resonance%20imaging&rft.au=Hangel,%20Gilbert&rft.date=2023-06&rft.volume=57&rft.issue=6&rft.spage=1676&rft.epage=1695&rft.pages=1676-1695&rft.issn=1053-1807&rft.eissn=1522-2586&rft_id=info:doi/10.1002/jmri.28663&rft_dat=%3Cproquest_pubme%3E2786513741%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2813962921&rft_id=info:pmid/36912262&rfr_iscdi=true |