Literature DB >> 22002882

Comparison of 3 Tesla proton MR spectroscopy, MR perfusion and MR diffusion for distinguishing glioma recurrence from posttreatment effects.

James R Fink1, Robert B Carr, Eiji Matsusue, Ramesh S Iyer, Jason K Rockhill, David R Haynor, Kenneth R Maravilla.   

Abstract

PURPOSE: To compare 3 Tesla (3T) multi-voxel and single-voxel proton MR spectroscopy (MRS), dynamic susceptibility contrast perfusion MRI (DSC), and diffusion-weighted MRI (DWI) for distinguishing recurrent glioma from postradiation injury.
MATERIALS AND METHODS: We reviewed all 3T MRS, DSC and DWI studies performed for suspicion of malignant glioma recurrence between October 2006 and December 2008. Maximum Cho/NAA and Cho/Cr peak-area and peak-height ratios were recorded for both multi-voxel and single-voxel MRS. Maximum cerebral blood volume (CBV) and minimum apparent diffusion coefficient (ADC) were normalized to white matter. Histopathology and clinical-radiologic follow-up served as reference standards. Receiver operating characteristic curves for each parameter were compared.
RESULTS: Forty lesions were classified as glioma recurrence (n = 30) or posttreatment effect (n = 10). Diagnostic performance was similar for CBV ratio (AUC = 0.917, P < 0.001), multi-voxel Cho/Cr peak-area (AUC = 0.913, P = 0.002), and multi-voxel Cho/NAA peak-height (AUC = 0.913, P = 0.002), while ADC ratio (AUC = 0.726, P = 0.035) did not appear to perform as well. Single-voxel MRS parameters did not reliably distinguish tumor recurrence from posttreatment effects.
CONCLUSION: A 3T DSC and multi-voxel MRS Cho/Cr peak-area and Cho/NAA peak-height appear to outperform DWI for distinguishing glioma recurrence from posttreatment effects. Single-voxel MRS parameters do not appear to distinguish glioma recurrence from posttreatment effects reliably, and therefore should not be used in place of multi-voxel MRS.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2011        PMID: 22002882     DOI: 10.1002/jmri.22801

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


  38 in total

Review 1.  Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.

Authors:  James R Fink; Mark Muzi; Melinda Peck; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2015-08-20       Impact factor: 10.057

2.  Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis.

Authors:  William R Masch; Page I Wang; Thomas L Chenevert; Larry Junck; Christina Tsien; Jason A Heth; Pia C Sundgren
Journal:  Acad Radiol       Date:  2016-02-23       Impact factor: 3.173

Review 3.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

Authors:  Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu
Journal:  Neurosurgery       Date:  2019-08-01       Impact factor: 4.654

4.  Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.

Authors:  Alfonso Di Costanzo; Tommaso Scarabino; Francesca Trojsi; Teresa Popolizio; Simona Bonavita; Mario de Cristofaro; Renata Conforti; Adriana Cristofano; Claudio Colonnese; Ugo Salvolini; Gioacchino Tedeschi
Journal:  Radiol Med       Date:  2014-01-10       Impact factor: 3.469

Review 5.  Accuracy of percentage of signal intensity recovery and relative cerebral blood volume derived from dynamic susceptibility-weighted, contrast-enhanced MRI in the preoperative diagnosis of cerebral tumours.

Authors:  Ananya Chakravorty; Timothy Steel; Joga Chaganti
Journal:  Neuroradiol J       Date:  2015-10-16

6.  Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study.

Authors:  A Jena; S Taneja; A Jha; N K Damesha; P Negi; G K Jadhav; S M Verma; S K Sogani
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-24       Impact factor: 3.825

7.  Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa El-Serougy; Mohamed Abdelsalam; Gada Gaballa; Mona Talaat
Journal:  Neuroradiology       Date:  2017-12-07       Impact factor: 2.804

8.  MRS as an Aid to Diagnose Malignant Transformation in Low-Grade Gliomas with Increasing Contrast Enhancement.

Authors:  C H Toh; M Castillo; K-C Wei; P-Y Chen
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

9.  Comparison of multiple parameters obtained on 3T pulsed arterial spin-labeling, diffusion tensor imaging, and MRS and the Ki-67 labeling index in evaluating glioma grading.

Authors:  H Fudaba; T Shimomura; T Abe; H Matsuta; Y Momii; K Sugita; H Ooba; T Kamida; T Hikawa; M Fujiki
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-03       Impact factor: 3.825

10.  Utility of multiparametric 3-T MRI for glioma characterization.

Authors:  Bhaswati Roy; Rakesh K Gupta; Andrew A Maudsley; Rishi Awasthi; Sulaiman Sheriff; Meng Gu; Nuzhat Husain; Sudipta Mohakud; Sanjay Behari; Chandra M Pandey; Ram K S Rathore; Daniel M Spielman; Jeffry R Alger
Journal:  Neuroradiology       Date:  2013-02-02       Impact factor: 2.804

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