Literature DB >> 12353260

In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI.

Sarah J Nelson1, Edward Graves, Andrea Pirzkall, Xiaojuan Li, Antionette Antiniw Chan, Daniel B Vigneron, Tracy R McKnight.   

Abstract

Gliomas are infiltrative lesions that typically have poorly defined margins on conventional magnetic resonance (MR) and computed tomography (CT) images. This presents a considerable challenge for planning radiation and other forms of focal therapy, and introduces the possibility of both under-treating macroscopic tumor, and over-treating regions of normal brain tissue. New therapy systems are able to deliver radiation more precisely and accurately to irregular three-dimensional target volumes, and have placed a premium on definition of the spatial extent of the lesion. Proton MR spectroscopic imaging (H-MRSI) has been proposed as an in vivo molecular imaging technique that assists in targeting and predicts response to radiation therapy for patients with gliomas. The evidence that supports the use of H-MRSI for planning radiation treatment is reviewed, together with the technical requirements for implementing data acquisition and analysis procedures in a clinical setting. Although there is room for improvement in the spatial resolution and chemical specificity obtained at the conventional field strength of 1.5 T, there are clear benefits to integrating H-MRSI into treatment planning and follow-up examinations. Further work is required to integrate the results of the H-MRSI examination into the treatment planning workstation, and to improve the quality of the data using more sensitive phased array coils and higher field strength magnets. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12353260     DOI: 10.1002/jmri.10183

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  49 in total

1.  Diffusion-weighted imaging and single-voxel MR spectroscopy in a case of malignant cerebral lymphoma.

Authors:  D Ducreux; R H Wu; D J Mikulis; K terBrugge
Journal:  Neuroradiology       Date:  2003-11-05       Impact factor: 2.804

Review 2.  Imaging radiation response in tumor and normal tissue.

Authors:  Marjan Rafat; Rehan Ali; Edward E Graves
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-06-15

Review 3.  Whole Brain ¹H-Spectroscopy: A Developing Technique for Advanced Analysis of Cerebral Metabolism.

Authors:  X-Q Ding; H Lanfermann
Journal:  Clin Neuroradiol       Date:  2015-07-09       Impact factor: 3.649

Review 4.  Non-invasive metabolic imaging of brain tumours in the era of precision medicine.

Authors:  Michelle M Kim; Abhijit Parolia; Mark P Dunphy; Sriram Venneti
Journal:  Nat Rev Clin Oncol       Date:  2016-07-19       Impact factor: 66.675

5.  Can MR spectroscopy ever be simple and effective?

Authors:  Andrew A Maudsley
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

6.  Brain lymphoma: usefulness of the magnetic resonance spectroscopy.

Authors:  Sophie Taillibert; Rémy Guillevin; Carole Menuel; Marc Sanson; Khê Hoang-Xuan; Jacques Chiras; Hugues Duffau
Journal:  J Neurooncol       Date:  2007-09-04       Impact factor: 4.130

7.  Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.

Authors:  N Andres Parra; Andrew A Maudsley; Rakesh K Gupta; Fazilat Ishkanian; Kris Huang; Gail R Walker; Kyle Padgett; Bhaswati Roy; Joseph Panoff; Arnold Markoe; Radka Stoyanova
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-24       Impact factor: 7.038

8.  Analysis of cancer metabolism by imaging hyperpolarized nuclei: prospects for translation to clinical research.

Authors:  John Kurhanewicz; Daniel B Vigneron; Kevin Brindle; Eduard Y Chekmenev; Arnaud Comment; Charles H Cunningham; Ralph J Deberardinis; Gary G Green; Martin O Leach; Sunder S Rajan; Rahim R Rizi; Brian D Ross; Warren S Warren; Craig R Malloy
Journal:  Neoplasia       Date:  2011-02       Impact factor: 5.715

9.  Molecular Imaging of Cancer: Applications of Magnetic Resonance Methods.

Authors:  Barjor Gimi; Arvind P Pathak; Ellen Ackerstaff; Kristine Glunde; Dmitri Artemov; Zaver M Bhujwalla
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2005-04-01       Impact factor: 10.961

Review 10.  In vivo magnetic resonance spectroscopy: basic methodology and clinical applications.

Authors:  Marinette van der Graaf
Journal:  Eur Biophys J       Date:  2009-08-13       Impact factor: 1.733

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