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Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning
The reprogramming of cellular metabolism is a hallmark of cancer diagnosis and prognosis. Proton magnetic resonance spectroscopic imaging (MRSI) is a non-invasive diagnostic technique for investigating brain metabolism to establish cancer diagnosis and IDH gene mutation diagnosis as well as facilita...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594883/ https://www.ncbi.nlm.nih.gov/pubmed/33178960 http://dx.doi.org/10.1259/bjro.20190026 |
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author | Laino, Maria Elena Young, Robert Beal, Kathryn Haque, Sofia Mazaheri, Yousef Corrias, Giuseppe Bitencourt, Almir GV Karimi, Sasan Thakur, Sunitha B |
author_facet | Laino, Maria Elena Young, Robert Beal, Kathryn Haque, Sofia Mazaheri, Yousef Corrias, Giuseppe Bitencourt, Almir GV Karimi, Sasan Thakur, Sunitha B |
author_sort | Laino, Maria Elena |
collection | PubMed |
description | The reprogramming of cellular metabolism is a hallmark of cancer diagnosis and prognosis. Proton magnetic resonance spectroscopic imaging (MRSI) is a non-invasive diagnostic technique for investigating brain metabolism to establish cancer diagnosis and IDH gene mutation diagnosis as well as facilitate pre-operative planning and treatment response monitoring. By allowing tissue metabolism to be quantified, MRSI provides added value to conventional MRI. MRSI can generate metabolite maps from a single volume or multiple volume elements within the whole brain. Metabolites such as NAA, Cho and Cr, as well as their ratios Cho:NAA ratio and Cho:Cr ratio, have been used to provide tumor diagnosis and aid in radiation therapy planning as well as treatment assessment. In addition to these common metabolites, 2-hydroxygluterate (2HG) has also been quantified using MRSI following the recent discovery of IDH mutations in gliomas. This has opened up targeted drug development to inhibit the mutant IDH pathway. This review provides guidance on MRSI in brain gliomas, including its acquisition, analysis methods, and evolving clinical applications. |
format | Online Article Text |
id | pubmed-7594883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75948832020-11-10 Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning Laino, Maria Elena Young, Robert Beal, Kathryn Haque, Sofia Mazaheri, Yousef Corrias, Giuseppe Bitencourt, Almir GV Karimi, Sasan Thakur, Sunitha B BJR Open Review Article The reprogramming of cellular metabolism is a hallmark of cancer diagnosis and prognosis. Proton magnetic resonance spectroscopic imaging (MRSI) is a non-invasive diagnostic technique for investigating brain metabolism to establish cancer diagnosis and IDH gene mutation diagnosis as well as facilitate pre-operative planning and treatment response monitoring. By allowing tissue metabolism to be quantified, MRSI provides added value to conventional MRI. MRSI can generate metabolite maps from a single volume or multiple volume elements within the whole brain. Metabolites such as NAA, Cho and Cr, as well as their ratios Cho:NAA ratio and Cho:Cr ratio, have been used to provide tumor diagnosis and aid in radiation therapy planning as well as treatment assessment. In addition to these common metabolites, 2-hydroxygluterate (2HG) has also been quantified using MRSI following the recent discovery of IDH mutations in gliomas. This has opened up targeted drug development to inhibit the mutant IDH pathway. This review provides guidance on MRSI in brain gliomas, including its acquisition, analysis methods, and evolving clinical applications. The British Institute of Radiology. 2020-04-06 /pmc/articles/PMC7594883/ /pubmed/33178960 http://dx.doi.org/10.1259/bjro.20190026 Text en © 2020 The Authors. Published by the British Institute of Radiology This is an open access article distributed under the terms of theCreative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Review Article Laino, Maria Elena Young, Robert Beal, Kathryn Haque, Sofia Mazaheri, Yousef Corrias, Giuseppe Bitencourt, Almir GV Karimi, Sasan Thakur, Sunitha B Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title | Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title_full | Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title_fullStr | Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title_full_unstemmed | Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title_short | Magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
title_sort | magnetic resonance spectroscopic imaging in gliomas: clinical diagnosis and radiotherapy planning |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594883/ https://www.ncbi.nlm.nih.gov/pubmed/33178960 http://dx.doi.org/10.1259/bjro.20190026 |
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