Literature DB >> 33926682

Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.

Brent D Weinberg1, Manohar Kuruva2, Hyunsuk Shim3, Mark E Mullins2.   

Abstract

Magnetic resonance spectroscopy (MRS) is a valuable tool for imaging brain tumors, primarily as an adjunct to conventional imaging and clinical presentation. MRS is useful in initial diagnosis of brain tumors, helping differentiate tumors from possible mimics such as metastatic disease, lymphoma, demyelination, and infection, as well as in the subsequent follow-up of patients after resection and chemoradiation. Unfortunately, the spectroscopic appearance of many pathologies can overlap, and ultimately follow-up or biopsy may be required to make a definitive diagnosis. Future developments may continue to increase the value of MRS for initial diagnosis, treatment planning, and early detection of recurrence.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain tumor; Glioblastoma; Magnetic resonance spectroscopy; Pseudoprogression; Radiation necrosis; Tumor progression

Mesh:

Year:  2021        PMID: 33926682      PMCID: PMC8272438          DOI: 10.1016/j.rcl.2021.01.004

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  66 in total

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Authors:  Xiaoping Zhu; Andreas Ebel; Jim X Ji; Norbert Schuff
Journal:  Magn Reson Med       Date:  2007-05       Impact factor: 4.668

Review 2.  Role of magnetic resonance spectroscopy for the differentiation of recurrent glioma from radiation necrosis: a systematic review and meta-analysis.

Authors:  Hui Zhang; Li Ma; Qun Wang; Xuan Zheng; Chen Wu; Bai-Nan Xu
Journal:  Eur J Radiol       Date:  2014-12       Impact factor: 3.528

3.  Comparison of methods for reduction of lipid contamination for in vivo proton MR spectroscopic imaging of the brain.

Authors:  A Ebel; A A Maudsley
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

Review 4.  Imaging in neurooncology.

Authors:  Andreas H Jacobs; Lutz W Kracht; Axel Gossmann; Maria A Rüger; Anne V Thomas; Alexander Thiel; Karl Herholz
Journal:  NeuroRx       Date:  2005-04

5.  Proton MR spectroscopy in the diagnostic evaluation of suspected mitochondrial disease.

Authors:  Doris D M Lin; Thomas O Crawford; Peter B Barker
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

6.  Spatial mapping of the chemical shift in NMR.

Authors:  P Mansfield
Journal:  Magn Reson Med       Date:  1984-09       Impact factor: 4.668

7.  1H MRS of human brain abscesses in vivo and in vitro.

Authors:  C Rémy; S Grand; E S Laï; V Belle; D Hoffmann; F Berger; F Estève; A Ziegler; J F Le Bas; A L Benabid
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

8.  In vivo solvent-suppressed localized hydrogen nuclear magnetic resonance spectroscopy: a window to metabolism?

Authors:  P A Bottomley; W A Edelstein; T H Foster; W A Adams
Journal:  Proc Natl Acad Sci U S A       Date:  1985-04       Impact factor: 11.205

9.  The Brain Imaging Collaboration Suite (BrICS): A Cloud Platform for Integrating Whole-Brain Spectroscopic MRI into the Radiation Therapy Planning Workflow.

Authors:  Saumya Gurbani; Brent Weinberg; Lee Cooper; Eric Mellon; Eduard Schreibmann; Sulaiman Sheriff; Andrew Maudsley; Mohammed Goryawala; Hui-Kuo Shu; Hyunsuk Shim
Journal:  Tomography       Date:  2019-03

Review 10.  Hyperpolarized 13C MRI: A novel approach for probing cerebral metabolism in health and neurological disease.

Authors:  James T Grist; Jack J Miller; Fulvio Zaccagna; Mary A McLean; Frank Riemer; Tomasz Matys; Damian J Tyler; Christoffer Laustsen; Alasdair J Coles; Ferdia A Gallagher
Journal:  J Cereb Blood Flow Metab       Date:  2020-03-10       Impact factor: 6.200

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  7 in total

1.  MRSCloud: A cloud-based MRS tool for basis set simulation.

Authors:  Steve C N Hui; Muhammad G Saleh; Helge J Zöllner; Georg Oeltzschner; Hongli Fan; Yue Li; Yulu Song; Hangyi Jiang; Jamie Near; Hanzhang Lu; Susumu Mori; Richard A E Edden
Journal:  Magn Reson Med       Date:  2022-07-01       Impact factor: 3.737

2.  Value of Magnetic Resonance Images and Magnetic Resonance Spectroscopy in Diagnosis of Brain Tumors under Fuzzy C-Means Algorithm.

Authors:  Huaiqin Liu; Qi Zhang; Shujun Niu; Hao Liu
Journal:  Contrast Media Mol Imaging       Date:  2022-05-30       Impact factor: 3.009

Review 3.  Advanced Imaging and Computational Techniques for the Diagnostic and Prognostic Assessment of Malignant Gliomas.

Authors:  Jayapalli Rajiv Bapuraj; Nicholas Wang; Ashok Srinivasan; Arvind Rao
Journal:  Cancer J       Date:  2021 Sep-Oct 01       Impact factor: 3.360

4.  Magnetic Resonance Spectroscopy May Help Diagnose Sporadic Meningioangiomatosis Associated With Meningioma: A Case Report.

Authors:  Linfeng Liu; Feng Liang
Journal:  Front Neurol       Date:  2022-07-11       Impact factor: 4.086

5.  Convolutional neural networks to predict brain tumor grades and Alzheimer's disease with MR spectroscopic imaging data.

Authors:  Jacopo Acquarelli; Twan van Laarhoven; Geert J Postma; Jeroen J Jansen; Anne Rijpma; Sjaak van Asten; Arend Heerschap; Lutgarde M C Buydens; Elena Marchiori
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

6.  Non-Hodgkin Lymphoma Causing Hypopituitarism Can Imaging Help Diagnosis and Management?

Authors:  Uzma Khan; Anton Borg; Radu Beltechi; Hiten Mehta; Timothy Robbins; Harpal Randeva; Pratibha Machenahalli
Journal:  Eur J Case Rep Intern Med       Date:  2021-12-23

7.  Differences in the Impact of COVID-19 on Pathology Laboratories and Cancer Diagnosis in Girona.

Authors:  Arantza Sanvisens; Montse Puigdemont; Jordi Rubió-Casadevall; Anna Vidal-Vila; Eugeni López-Bonet; Ferran Martín-Romero; Rafael Marcos-Gragera
Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

  7 in total

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