Literature DB >> 25066215

Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.

N Andres Parra1, Andrew A Maudsley2, Rakesh K Gupta3, Fazilat Ishkanian1, Kris Huang1, Gail R Walker4, Kyle Padgett5, Bhaswati Roy3, Joseph Panoff1, Arnold Markoe1, Radka Stoyanova6.   

Abstract

PURPOSE: Magnetic resonance (MR) imaging and computed tomography (CT) are used almost exclusively in radiation therapy planning of glioblastoma multiforme (GBM), despite their well-recognized limitations. MR spectroscopic imaging (MRSI) can identify biochemical patterns associated with normal brain and tumor, predominantly by observation of choline (Cho) and N-acetylaspartate (NAA) distributions. In this study, volumetric 3-dimensional MRSI was used to map these compounds over a wide region of the brain and to evaluate metabolite-defined treatment targets (metabolic tumor volumes [MTV]). METHODS AND MATERIALS: Volumetric MRSI with effective voxel size of ∼1.0 mL and standard clinical MR images were obtained from 19 GBM patients. Gross tumor volumes and edema were manually outlined, and clinical target volumes (CTVs) receiving 46 and 60 Gy were defined (CTV46 and CTV60, respectively). MTVCho and MTVNAA were constructed based on volumes with high Cho and low NAA relative to values estimated from normal-appearing tissue.
RESULTS: The MRSI coverage of the brain was between 70% and 76%. The MTVNAA were almost entirely contained within the edema, and the correlation between the 2 volumes was significant (r=0.68, P=.001). In contrast, a considerable fraction of MTVCho was outside of the edema (median, 33%) and for some patients it was also outside of the CTV46 and CTV60. These untreated volumes were greater than 10% for 7 patients (37%) in the study, and on average more than one-third (34.3%) of the MTVCho for these patients were outside of CTV60.
CONCLUSIONS: This study demonstrates the potential usefulness of whole-brain MRSI for radiation therapy planning of GBM and revealed that areas of metabolically active tumor are not covered by standard RT volumes. The described integration of MTV into the RT system will pave the way to future clinical trials investigating outcomes in patients treated based on metabolic information.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25066215      PMCID: PMC4346247          DOI: 10.1016/j.ijrobp.2014.03.049

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  27 in total

1.  Evaluation of peritumoral edema in the delineation of radiotherapy clinical target volumes for glioblastoma.

Authors:  Eric L Chang; Serap Akyurek; Tedde Avalos; Neal Rebueno; Chris Spicer; John Garcia; Robin Famiglietti; Pamela K Allen; K S Clifford Chao; Anita Mahajan; Shiao Y Woo; Moshe H Maor
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-02-15       Impact factor: 7.038

2.  Patterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findings.

Authors:  Ilwoo Park; Gregory Tamai; Michael C Lee; Cynthia F Chuang; Susan M Chang; Mitchel S Berger; Sarah J Nelson; Andrea Pirzkall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-21       Impact factor: 7.038

Review 3.  Metabolite quantification and high-field MRS in breast cancer.

Authors:  Ihab S Haddadin; Adeka McIntosh; Sina Meisamy; Curt Corum; Angela L Styczynski Snyder; Nathaniel J Powell; Michael T Nelson; Douglas Yee; Michael Garwood; Patrick J Bolan
Journal:  NMR Biomed       Date:  2009-01       Impact factor: 4.044

4.  Patterns of failure following high-dose 3-D conformal radiotherapy for high-grade astrocytomas: a quantitative dosimetric study.

Authors:  S W Lee; B A Fraass; L H Marsh; K Herbort; S S Gebarski; M K Martel; E H Radany; A S Lichter; H M Sandler
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-01-01       Impact factor: 7.038

5.  Computerized tomographic and pathologic studies of the untreated, quiescent, and recurrent glioblastoma multiforme.

Authors:  P C Burger; P J Dubois; S C Schold; K R Smith; G L Odom; D C Crafts; F Giangaspero
Journal:  J Neurosurg       Date:  1983-02       Impact factor: 5.115

6.  Proton magnetic resonance spectroscopy imaging in the evaluation of patients undergoing gamma knife surgery for Grade IV glioma.

Authors:  Antoinette A Chan; Aubrey Lau; Andrea Pirzkall; Susan M Chang; Lynn J Verhey; David Larson; Michael W McDermott; William P Dillon; Sarah J Nelson
Journal:  J Neurosurg       Date:  2004-09       Impact factor: 5.115

7.  Assumptions in the radiotherapy of glioblastoma.

Authors:  F H Hochberg; A Pruitt
Journal:  Neurology       Date:  1980-09       Impact factor: 9.910

8.  Immunohistochemical localization of N-acetylaspartate in rat brain.

Authors:  J R Moffett; M A Namboodiri; C B Cangro; J H Neale
Journal:  Neuroreport       Date:  1991-03       Impact factor: 1.837

9.  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

10.  Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy.

Authors:  Juan M García-Gómez; Jan Luts; Margarida Julià-Sapé; Patrick Krooshof; Salvador Tortajada; Javier Vicente Robledo; Willem Melssen; Elies Fuster-García; Iván Olier; Geert Postma; Daniel Monleón; Angel Moreno-Torres; Jesús Pujol; Ana-Paula Candiota; M Carmen Martínez-Bisbal; Johan Suykens; Lutgarde Buydens; Bernardo Celda; Sabine Van Huffel; Carles Arús; Montserrat Robles
Journal:  MAGMA       Date:  2008-11-07       Impact factor: 2.310

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  22 in total

Review 1.  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

Review 2.  Glioblastoma multiforme: emerging treatments and stratification markers beyond new drugs.

Authors:  C von Neubeck; A Seidlitz; H H Kitzler; B Beuthien-Baumann; M Krause
Journal:  Br J Radiol       Date:  2015-07-10       Impact factor: 3.039

Review 3.  "Radio-oncomics" : The potential of radiomics in radiation oncology.

Authors:  Jan Caspar Peeken; Fridtjof Nüsslin; Stephanie E Combs
Journal:  Strahlenther Onkol       Date:  2017-07-07       Impact factor: 3.621

4.  Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme.

Authors:  Christopher J Lopez; Natalya Nagornaya; Nestor A Parra; Deukwoo Kwon; Fazilat Ishkanian; Arnold M Markoe; Andrew Maudsley; Radka Stoyanova
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-11-15       Impact factor: 7.038

5.  Volumetric relationship between 2-hydroxyglutarate and FLAIR hyperintensity has potential implications for radiotherapy planning of mutant IDH glioma patients.

Authors:  Kourosh Jafari-Khouzani; Franziska Loebel; Wolfgang Bogner; Otto Rapalino; Gilberto R Gonzalez; Elizabeth Gerstner; Andrew S Chi; Tracy T Batchelor; Bruce R Rosen; Jan Unkelbach; Helen A Shih; Daniel P Cahill; Ovidiu C Andronesi
Journal:  Neuro Oncol       Date:  2016-07-05       Impact factor: 12.300

6.  Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in GBM patients.

Authors:  Manijeh Beigi; Kevan Ghasemi; Parvin Mirzaghavami; Mohammadreza Khanmohammadi; Hamidreza SalighehRad
Journal:  J Neurooncol       Date:  2018-03-14       Impact factor: 4.130

7.  Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation?

Authors:  Jonathan Khalifa; Fatima Tensaouti; Jean-Albert Lotterie; Isabelle Catalaa; Leonor Chaltiel; Alexandra Benouaich-Amiel; Carlos Gomez-Roca; Georges Noël; Gilles Truc; Patrice Péran; Isabelle Berry; Marie-Pierre Sunyach; Marie Charissoux; Corinne Johnson; Elizabeth Cohen-Jonathan Moyal; Anne Laprie
Journal:  J Neurooncol       Date:  2016-08-08       Impact factor: 4.130

Review 8.  Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.

Authors:  Fabrício Guimarães Gonçalves; Sanjeev Chawla; Suyash Mohan
Journal:  J Magn Reson Imaging       Date:  2020-03-19       Impact factor: 4.813

9.  Lesion segmentation for MR spectroscopic imaging using the convolution difference method.

Authors:  Andrew A Maudsley
Journal:  Magn Reson Med       Date:  2018-10-10       Impact factor: 4.668

Review 10.  The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective.

Authors:  Robert H Press; Hui-Kuo G Shu; Hyunsuk Shim; James M Mountz; Brenda F Kurland; Richard L Wahl; Ella F Jones; Nola M Hylton; Elizabeth R Gerstner; Robert J Nordstrom; Lori Henderson; Karen A Kurdziel; Bhadrasain Vikram; Michael A Jacobs; Matthias Holdhoff; Edward Taylor; David A Jaffray; Lawrence H Schwartz; David A Mankoff; Paul E Kinahan; Hannah M Linden; Philippe Lambin; Thomas J Dilling; Daniel L Rubin; Lubomir Hadjiiski; John M Buatti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-30       Impact factor: 7.038

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