Literature DB >> 9400861

Volume MRI and MRSI techniques for the quantitation of treatment response in brain tumors: presentation of a detailed case study.

S J Nelson1, S Huhn, D B Vigneron, M R Day, L L Wald, M Prados, S Chang, P H Gutin, P K Sneed, L Verhey, R A Hawkins, W P Dillon.   

Abstract

Patients with primary brain tumors may be considered for several different treatments during the course of their disease. Assessments of disease progression and response to therapy are typically performed by visual interpretation of serial MRI examinations. Although such examinations provide useful morphologic information, they are unable to reliably distinguish active tumor from radiation necrosis. This poses a particular problem in the assessment of response to localized radiation therapies such as gamma knife radiosurgery. In this paper, we present methodology for evaluating changes in tissue morphology and metabolism based on serial volumetric MRI and magnetic resonance spectroscopic imaging (MRSI) examinations. Registration and quantitative analysis of these data provide measurements of the temporal and spatial distributions of gadolinium enhancement and of N-acetylasparate, choline, creatine, and lactate/lipid. The key features of this approach and the potential clinical benefits are illustrated by a detailed analysis of six serial MRI/MRSI examinations and three serial 1-[F-18] fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) studies on a patient with a recurrent anaplastic astrocytoma.

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Year:  1997        PMID: 9400861     DOI: 10.1002/jmri.1880070630

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


  19 in total

Review 1.  Three-dimensional magnetic resonance spectroscopic imaging of brain and prostate cancer.

Authors:  J Kurhanewicz; D B Vigneron; S J Nelson
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Distinction between high-grade gliomas and solitary metastases using peritumoral 3-T magnetic resonance spectroscopy, diffusion, and perfusion imagings.

Authors:  I Chan Chiang; Yu-Ting Kuo; Chia-Ying Lu; Kwok-Wan Yeung; Wei-Chen Lin; Feng-O Sheu; Gin-Chung Liu
Journal:  Neuroradiology       Date:  2004-07-09       Impact factor: 2.804

3.  Multisection 1H magnetic resonance spectroscopic imaging assessment of glioma response to chemotherapy.

Authors:  Casilda Balmaceda; Dana Critchell; Xiangling Mao; Kenneth Cheung; Susan Pannullo; Robert L DeLaPaz; Dikoma C Shungu
Journal:  J Neurooncol       Date:  2006-01       Impact factor: 4.130

4.  Spatial characteristics of newly diagnosed grade 3 glioma assessed by magnetic resonance metabolic and diffusion tensor imaging.

Authors:  Esin Ozturk-Isik; Andrea Pirzkall; Kathleen R Lamborn; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Transl Oncol       Date:  2012-02-01       Impact factor: 4.243

5.  Serial proton MR spectroscopic imaging of recurrent malignant gliomas after gamma knife radiosurgery.

Authors:  E E Graves; S J Nelson; D B Vigneron; L Verhey; M McDermott; D Larson; S Chang; M D Prados; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2001-04       Impact factor: 3.825

6.  Proton MRS imaging in pediatric brain tumors.

Authors:  Maria Zarifi; A Aria Tzika
Journal:  Pediatr Radiol       Date:  2016-05-27

7.  Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma.

Authors:  Yan Li; Marisa Lafontaine; Susan Chang; Sarah J Nelson
Journal:  ACS Chem Neurosci       Date:  2017-10-16       Impact factor: 4.418

8.  Proton MR spectroscopic evaluation of suspicious brain lesions after stereotactic radiotherapy.

Authors:  H P Schlemmer; P Bachert; K K Herfarth; I Zuna; J Debus; G van Kaick
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

9.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

10.  Mechanisms of normal appearing corpus callosum injury related to pericallosal T1 lesions in multiple sclerosis using directional diffusion tensor and 1H MRS imaging.

Authors:  J Oh; R G Henry; C Genain; S J Nelson; D Pelletier
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-09       Impact factor: 10.154

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