Literature DB >> 18262090

Proton magnetic resonance spectroscopic imaging in newly diagnosed glioblastoma: predictive value for the site of postradiotherapy relapse in a prospective longitudinal study.

Anne Laprie1, Isabelle Catalaa, Emmanuelle Cassol, Tracy R McKnight, Delphine Berchery, Delphine Marre, Jean-Marc Bachaud, Isabelle Berry, Elizabeth Cohen-Jonathan Moyal.   

Abstract

PURPOSE: To investigate the association between magnetic resonance spectroscopic imaging (MRSI)-defined, metabolically abnormal tumor regions and subsequent sites of relapse in data from patients treated with radiotherapy (RT) in a prospective clinical trial. METHODS AND MATERIALS: Twenty-three examinations were performed prospectively for 9 patients with newly diagnosed glioblastoma multiforme studied in a Phase I trial combining Tipifarnib and RT. The patients underwent magnetic resonance imaging (MRI) and MRSI before treatment and every 2 months until relapse. The MRSI data were categorized by the choline (Cho)/N-acetyl-aspartate (NAA) ratio (CNR) as a measure of spectroscopic abnormality. CNRs corresponding to T1 and T2 MRI for 1,207 voxels were evaluated before RT and at recurrence.
RESULTS: Before treatment, areas of CNR2 (CNR > or =2) represented 25% of the contrast-enhancing (T1CE) regions and 10% of abnormal T2 regions outside T1CE (HyperT2). The presence of CNR2 was often an early indicator of the site of relapse after therapy. In fact, 75% of the voxels within the T1CE+CNR2 before therapy continued to exhibit CNR2 at relapse, compared with 22% of the voxels within the T1CE with normal CNR (p < 0.05). The location of new contrast enhancement with CNR2 corresponded in 80% of the initial HyperT2+CNR2 vs. 20.7% of the HyperT2 voxels with normal CNR (p < 0.05).
CONCLUSION: Metabolically active regions represented a small percentage of pretreatment MRI abnormalities and were predictive for the site of post-RT relapse. The incorporation of MRSI data in the definition of RT target volumes for selective boosting may be a promising avenue leading to increased local control of glioblastomas.

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Year:  2008        PMID: 18262090     DOI: 10.1016/j.ijrobp.2007.10.039

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


  24 in total

1.  Clinical target volume delineation in glioblastomas: pre-operative versus post-operative/pre-radiotherapy MRI.

Authors:  P Farace; M G Giri; G Meliadò; D Amelio; L Widesott; G K Ricciardi; S Dall'Oglio; A Rizzotti; A Sbarbati; A Beltramello; S Maluta; M Amichetti
Journal:  Br J Radiol       Date:  2010-11-02       Impact factor: 3.039

Review 2.  Functional MRI for radiotherapy dose painting.

Authors:  Uulke A van der Heide; Antonetta C Houweling; Greetje Groenendaal; Regina G H Beets-Tan; Philippe Lambin
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

Review 3.  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

4.  3-Dimensional magnetic resonance spectroscopic imaging at 3 Tesla for early response assessment of glioblastoma patients during external beam radiation therapy.

Authors:  Manickam Muruganandham; Patrick P Clerkin; Brian J Smith; Carryn M Anderson; Ann Morris; Aristides A Capizzano; Vincent Magnotta; Sarah M McGuire; Mark C Smith; John E Bayouth; John M Buatti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-06-28       Impact factor: 7.038

5.  Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I-II trial of radiotherapy/tipifarnib combination.

Authors:  Soléakhéna Ken; Alexandra Deviers; Thomas Filleron; Isabelle Catalaa; Jean-Albert Lotterie; Jonathan Khalifa; Vincent Lubrano; Isabelle Berry; Patrice Péran; Pierre Celsis; Elizabeth Cohen-Jonathan Moyal; Anne Laprie
Journal:  J Neurooncol       Date:  2015-07-19       Impact factor: 4.130

6.  Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Authors:  Sarah J Nelson; Achuta K Kadambi; Ilwoo Park; Yan Li; Jason Crane; Marram Olson; Annette Molinaro; Ritu Roy; Nicholas Butowski; Soonmee Cha; Susan Chang
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

7.  Early response of hepatic malignancies to locoregional therapy-value of diffusion-weighted magnetic resonance imaging and proton magnetic resonance spectroscopy.

Authors:  Susanne Bonekamp; Jialin Shen; Nouha Salibi; Hong C Lai; Jeff Geschwind; Ihab R Kamel
Journal:  J Comput Assist Tomogr       Date:  2011 Mar-Apr       Impact factor: 1.826

Review 8.  Imaging of brain tumors: MR spectroscopy and metabolic imaging.

Authors:  Alena Horská; Peter B Barker
Journal:  Neuroimaging Clin N Am       Date:  2010-08       Impact factor: 2.264

9.  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

10.  A Novel Methodology for Applying Multivoxel MR Spectroscopy to Evaluate Convection-Enhanced Drug Delivery in Diffuse Intrinsic Pontine Gliomas.

Authors:  D I Guisado; R Singh; S Minkowitz; Z Zhou; S Haque; K K Peck; R J Young; A J Tsiouris; M M Souweidane; S B Thakur
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-03       Impact factor: 3.825

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